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  • Simulation-based pipeline tailors training data for dexterous robots | MIT News

    Simulation-based pipeline tailors training data for dexterous robots | MIT News

    When ChatGPT or Gemini give what seems to be an expert response to your burning questions, you may not realize how much information it relies on to give that reply. Like other popular generative artificial intelligence (AI) models, these chatbots rely on backbone systems called foundation models that train on billions, or even trillions, of data points.

    In a similar vein, engineers are hoping to build foundation models that train a range of robots on new skills like picking up, moving, and putting down objects in places like homes and factories. The problem is that it’s difficult to collect and transfer instructional data across robotic systems. You could teach your system by teleoperating the hardware step-by-step using technology like virtual reality (VR), but that can be time-consuming. Training on videos from the internet is less instructive, since the clips don’t provide a step-by-step, specialized task walk-through for particular robots.

    A simulation-driven approach called “PhysicsGen” from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Robotics and AI Institute customizes robot training data to help robots find the most efficient movements for a task. The system can multiply a few dozen VR demonstrations into nearly 3,000 simulations per machine. These high-quality instructions are then mapped to the precise configurations of mechanical companions like robotic arms and hands. 

    PhysicsGen creates data that generalize to specific robots and condition via a three-step process. First, a VR headset tracks how humans manipulate objects like blocks using their hands. These interactions are mapped in a 3D physics simulator at the same time, visualizing the key points of our hands as small spheres that mirror our gestures. For example, if you flipped a toy over, you’d see 3D shapes representing different parts of your hands rotating a virtual version of that object.

    The pipeline then remaps these points to a 3D model of the setup of a specific machine (like a robotic arm), moving them to the precise “joints” where a system twists and turns. Finally, PhysicsGen uses trajectory optimization — essentially simulating the most efficient motions to complete a task — so the robot knows the best ways to do things like repositioning a box.

    Each simulation is a detailed training data point that walks a robot through potential ways to handle objects. When implemented into a policy (or the action plan that the robot follows), the machine has a variety of ways to approach a task, and can try out different motions if one doesn’t work.

    “We’re creating robot-specific data without needing humans to re-record specialized demonstrations for each machine,” says Lujie Yang, an MIT PhD student in electrical engineering and computer science and CSAIL affiliate who is the lead author of a new paper introducing the project. “We’re scaling up the data in an autonomous and efficient way, making task instructions useful to a wider range of machines.”

    Generating so many instructional trajectories for robots could eventually help engineers build a massive dataset to guide machines like robotic arms and dexterous hands. For example, the pipeline might help two robotic arms collaborate on picking up warehouse items and placing them in the right boxes for deliveries. The system may also guide two robots to work together in a household on tasks like putting away cups.

    PhysicsGen’s potential also extends to converting data designed for older robots or different environments into useful instructions for new machines. “Despite being collected for a specific type of robot, we can revive these prior datasets to make them more generally useful,” adds Yang.

    Addition by multiplication

    PhysicsGen turned just 24 human demonstrations into thousands of simulated ones, helping both digital and real-world robots reorient objects.

    Yang and her colleagues first tested their pipeline in a virtual experiment where a floating robotic hand needed to rotate a block into a target position. The digital robot executed the task at a rate of 81 percent accuracy by training on PhysicGen’s massive dataset, a 60 percent improvement from a baseline that only learned from human demonstrations.

    The researchers also found that PhysicsGen could improve how virtual robotic arms collaborate to manipulate objects. Their system created extra training data that helped two pairs of robots successfully accomplish tasks as much as 30 percent more often than a purely human-taught baseline.

    In an experiment with a pair of real-world robotic arms, the researchers observed similar improvements as the machines teamed up to flip a large box into its designated position. When the robots deviated from the intended trajectory or mishandled the object, they were able to recover mid-task by referencing alternative trajectories from their library of instructional data.

    Senior author Russ Tedrake, who is the Toyota Professor of Electrical Engineering and Computer Science, Aeronautics and Astronautics, and Mechanical Engineering at MIT, adds that this imitation-guided data generation technique combines the strengths of human demonstration with the power of robot motion planning algorithms.

    “Even a single demonstration from a human can make the motion planning problem much easier,” says Tedrake, who is also a senior vice president of large behavior models at the Toyota Research Institute and CSAIL principal investigator. “In the future, perhaps the foundation models will be able to provide this information, and this type of data generation technique will provide a type of post-training recipe for that model.”

    The future of PhysicsGen

    Soon, PhysicsGen may be extended to a new frontier: diversifying the tasks a machine can execute.

    “We’d like to use PhysicsGen to teach a robot to pour water when it’s only been trained to put away dishes, for example,” says Yang. “Our pipeline doesn’t just generate dynamically feasible motions for familiar tasks; it also has the potential of creating a diverse library of physical interactions that we believe can serve as building blocks for accomplishing entirely new tasks a human hasn’t demonstrated.”

    Creating lots of widely applicable training data may eventually help build a foundation model for robots, though MIT researchers caution that this is a somewhat distant goal. The CSAIL-led team is investigating how PhysicsGen can harness vast, unstructured resources — like internet videos — as seeds for simulation. The goal: transform everyday visual content into rich, robot-ready data that could teach machines to perform tasks no one explicitly showed them.

    Yang and her colleagues also aim to make PhysicsGen even more useful for robots with diverse shapes and configurations in the future. To make that happen, they plan to leverage datasets with demonstrations of real robots, capturing how robotic joints move instead of human ones.

    The researchers also plan to incorporate reinforcement learning, where an AI system learns by trial and error, to make PhysicsGen expand its dataset beyond human-provided examples. They may augment their pipeline with advanced perception techniques to help a robot perceive and interpret their environment visually, allowing the machine to analyze and adapt to the complexities of the physical world.

    For now, PhysicsGen shows how AI can help us teach different robots to manipulate objects within the same category, particularly rigid ones. The pipeline may soon help robots find the best ways to handle soft items (like fruits) and deformable ones (like clay), but those interactions aren’t easy to simulate yet.

    Yang and Tedrake wrote the paper with two CSAIL colleagues: co-lead author and MIT PhD student Hyung Ju “Terry” Suh SM ’22 and MIT PhD student Bernhard Paus Græsdal. Robotics and AI Institute researchers Tong Zhao ’22, MEng ’23, Tarik Kelestemur, Jiuguang Wang, and Tao Pang PhD ’23 are also authors. Their work was supported by the Robotics and AI Institute and Amazon.

    The researchers recently presented their work at the Robotics: Science and Systems conference.

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  • Newcastle transfers: Anthony Elanga joins in £55 million deal

    Newcastle transfers: Anthony Elanga joins in £55 million deal

    Newcastle United have completed the signing of forward Anthony Elanga from Nottingham Forest, the clubs announced Friday.

    A source told ESPN earlier this week that a deal had been agreed between Newcastle and Forest worth £55 million ($74m).

    The Sweden international leaves the City Ground after two seasons at the club.

    “I had an amazing two years at Nottingham Forest, they really helped me to become the player I am today, but I’m really happy to be here now,” Elango said in Newcastle’s statement.

    “The club won a trophy last season and are building something unique, something special that I really want to be part of.”

    After narrowly missing out on Champions League qualification last year, Elanga will play in Europe’s top competition with Newcastle, becoming their first major signing of the summer window.

    He made 82 appearances for Forest, scoring 11 times and registering 21 assists.

    “I’m delighted to welcome Anthony to Newcastle United,” Newcastle head coach Eddie Howe said. “He has been a key target for us so I’m delighted to secure him at this early part of pre-season.”

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  • Finnish but not finished: History-makers from the north chase new heights

    Finnish but not finished: History-makers from the north chase new heights

    LA PALMA (Spain) – Finland is set for their best-ever finish at a FIBA U18 Women’s EuroBasket, and it’s no more than they deserve.

    Their growth into the youth elite has been coming, part of it coming from last year’s victorious FIBA U16 Women’s EuroBasket squad, who defied the odds in Miskolc, Hungary, to beat France for their first ever trophy in any age group.

    And this year’s U18 squad has steamrollered their way to the Semi-Finals where they meet Belgium for a chance to reach their first ever Final at this age group.

    In Finnish basketball, coaches and players have been doing a good job over the years, and now it’s showing.

    Anna Gardziella

    “Last year’s title was huge. It was something that I could only dream of. We showed that Finland can also manage to win games and competitions,” said Finland’s Anna Gardziella, one of the five players from the U16 success now making a name for themselves in this tournament.

    “Personally, winning another European title at the U18 level would mean everything. It would show that last year wasn’t just a one-time thing. For me, it would be a proud moment to share with my teammates, coaches, and everyone back home supporting us. But right now, the focus is just on giving everything we’ve got in the Semi-Finals.”

    Proving that their success back then was no fluke, the five players have joined the U18 squad and are now guaranteed a top-four spot, 12 months on in La Palma, Spain, already eclipsing their previous best finish of seventh, most recently achieved in 2022.

    “I think that in Finnish basketball, coaches and players have been doing a good job over the years, and now it’s showing,” Gardziella explained.

    “About our team, we have a team that wants to win every game we play. We know how good we can be if we play together and do the things we’re good at.

    “We’re taking it one game at a time and really focusing on what we can control. Of course, there’s a little pressure, but we trust each other and what we are doing.”

    Top Players in La Palma

    VOTE: Who will be the MVP of the FIBA U18 Women’s EuroBasket 2025?

    From Finland’s newly-found golden generation of junior stars, Gardziella leads the team with 12.2 points a game and averages 13.4 in efficiency.

    Gardziella also averages 4.4 rebounds and 1.2 steals per contest, leading the new crop that also features Mona Pasanen, Jessi Nenonen, Alina Nikkila and Aluel Machol from last year’s U16 squad.

    However, the praise can’t solely belong to the players who have come up from the U16 level. Those who have stayed on from last year’s U18 team that finished a highly respectable eighth in Matosinhos, Portugal, have more than played their part.

    Five players that won last year’s FIBA U16 Women’s EuroBasket have joined Finland’s U18 squad and made an impact

    Look no further than Nicole Ogun, who averaged 10 points and 8.1 rebounds on 41 percent shooting last summer. She has formed a terrific duo with Gardziella that has been both breathtaking to the fans watching and devastating to the opposition.

    Ogun has maintained her consistency, averaging 9.0 points and 6.6 rebounds with an efficiency rating of 13.2.

    Every team needs an unsung hero, one who quietly gets on with the task at hand, has an unselfish presence, and is willing to do the work that doesn’t show on the stats. Erika Mace has been that player.

    Keen to get her teammates involved, Mace has 22 assists overall in the tournament, leading the Finns with 4.4 dimes, along with 8.2 points, 5 rebounds, and 3 steals per game. However, her work ethic and overall maturity at 18 are beyond her years.

    From lifting the U16 crown to a top four finish at this year’s FIBA U18 Women’s EuroBasket, there is no limit to the potential for this Finnish team, with thoughts possibly springing to the next Women’s EuroBasket in 2027, where they will be one of the co-hosts with Belgium, Lithuania, and Sweden.

    Could we see a chunk of this talented group be unleashed on the senior stage? Out of the U18 stars competing in Spain, only guard Tiia Talonen has senior experience, having played two games at the FIBA Women’s EuroBasket 2025 Qualifiers.

    “It has crossed my mind,” Gardziella said. “It’s a big thing for Finland to host FIBA Women’s EuroBasket. Right now, my focus is on the present and doing my best at the U18s. It pushes me to keep working, improving, and staying ready for that opportunity if it comes.”

    Can this group propel Finland to the levels that we have seen on the senior stage by France, Spain and more recently, Belgium?

    Either way, the future is certainly bright for women’s basketball in Finland.

    FIBA

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  • Meet the history-making captain who made Poland dream at EURO 2025

    Meet the history-making captain who made Poland dream at EURO 2025

    From farm to phenomenon: Pajor’s record-breaking season

    Pajor came into EURO 2025 on the back of the most emphatic campaign of her career to date – and one etched in the FC Barcelona history books.

    The prolific striker registered 43 goals in 46 games across all competitions to help the Spanish giants to a domestic double.

    In the league alone, Pajor contributed to 35 goals —scoring 25 and with 10 assists— in the best recorded return of her career, and the best individual campaign for any player in Barcelona history.

    Sometimes, just sometimes, the 28-year-old can’t believe she plays for the Catalan club.

    It presented a new challenge for the forward, one she has seized with both hands.

    “Barcelona play so well with the ball, when I speak with Alexia [Putellas] and Aitana [Bonmatí] in training they tell me that when they see the ball coming, they don’t think where they want to play, they make that decision before they even received the ball,” Pajor said in an interview with the Guardian.

    “Once they have the ball, they know exactly what they want to do, and that benefits everyone; Barcelona players learn early.

    “Alexia learned that when she was 10, and she doesn’t have to think, it’s innate for her. Our rivals usually play really low against us, but in one way I have more space because my team moves the ball quicker and I can be in on goal after just one touch.”

    The move to Spain has seen her develop even further as a player, which is benefiting club and national teammates.

    Pajor hopes this will eventually translate into Polish football, both internationally and domestically, with things already on the rise.

    With their qualification to EURO 2025, anything is possible.

    “The senior team is going to the Euros and the under-17 side played in the World Cup for the first time,” she continued.

    “This kind of success will help improve football at home; more and more girls are playing the game, which means we will get more academies and more teams.

    “I want football in Poland to be professional like here in Spain or in Germany in two to three years… we have potential and I think we will only get better.”

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  • Overview ‹ Reconstructing Hidden Objects with Wireless Signals — MIT Media Lab

    Overview ‹ Reconstructing Hidden Objects with Wireless Signals — MIT Media Lab

    What if devices could see through walls, boxes, and clutter?

    We’ve developed mmNorm, a new technology that creates 3D models of objects—even when they’re completely hidden from view. While traditional cameras and LiDAR systems can only detect and recontruct what’s in their direct line of sight, mmNorm uses millimeter-wave (mmWave) radar—the same kind of wireless signal used in 5G networks and airport scanners—that can pass through common materials like cardboard, fabric, and plastic. 

    This technology could enable robots to find and pick up items inside closed containers, allow AR headsets to reveal objects behind furniture, and help smart devices understand gestures even when users are out of sight.

    How does it work?

    Instead of simply measuring the strength of radar reflections (as past methods do), mmNorm estimates the curvature of hidden objects by analyzing how radar waves bounce off them. This allows it to reconstruct the object’s shape with much greater accuracy.

    Here’s the process:

    • Estimate Surface Normals
      mmNorm determines which direction each part of the hidden object surface is facing, based on the patterns of radar reflections.
    • Reconstruct the Surface Candidates
      It then pieces together these surface directions to form multiple surface candidates for the object’s shape.
    • Optimize the Result
      Finally, mmNorm simulates how different 3D shapes candidate would reflect radar signals and selects the one that best matches the actual radar measurements.

    We tested mmNorm on over 60 everyday objects—including mugs, tools, and toys—hidden behind boxes and clutter. You can see examples of these reconstructions in our video:

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  • ‘High probability’ Trump and Xi will meet this year, Rubio says

    ‘High probability’ Trump and Xi will meet this year, Rubio says



    CNN
     — 

    There is a “high probability” that US President Donald Trump and Chinese leader Xi Jinping will meet this year, US Secretary of State Marco Rubio said Friday.

    “The odds are high,” Rubio told journalists gathered in Kuala Lumpur, Malaysia on Friday. “I think both sides want to see it happen.”

    Rubio said he was unable to provide a date for any potential meeting but said there was a “strong desire on both sides to do it.” He added that it’s necessary to build the “right atmosphere” ahead of any such meeting in order to enable concrete deliverables.

    The US top diplomat met his Chinese counterpart Wang Yi in Kuala Lumpur on Friday for the first in-person meeting between the two foreign ministers, which comes as the US and China navigate trade frictions – and compete for influence in Asia.

    The roughly hour-long meeting was “very constructive” and “positive,” Rubio said on Friday evening local time.

    “We’re two big, powerful countries, and there are always going to be issues that we disagree on,” Rubio said, adding “I thought it was (a) very constructive, positive meeting, and (there’s) a lot of work to do.”

    Both Rubio and Wang were attending regional meetings in the Malaysian capital this week, where foreign ministers from the Association of Southeast Asian Nations, or ASEAN, gathered alongside regional partners including Russia, Japan, South Korea and Australia.

    The US and China have endured fraught trade relations since Trump’s return to office earlier this year, escalating and then de-escalating a tit-for-tat tariff spat sparked by the US president’s global trade war and sparring over export controls.

    Tensions were eased as the two sides agreed to a trade framework during talks between negotiators in London last month, and US Treasury Secretary Scott Bessent said earlier this week he would meet with Chinese counterparts to continue discussions in the coming weeks. A 90-day pause negotiated between the two sides in May was set to expire in August.

    Chinese officials have decried the US tariffs and threatened to retaliate if the US reaches deals with other trade partners at the expense of Chinese interests – a sign that Beijing sees the US as using agreements with other countries as a means to squeeze its economy.

    But both sides signaled that the meeting between Wang and Rubio was a productive one with a positive tone – and a step toward expanding cooperation, rather than frictions, between them.

    On Friday, Rubio said his meeting with Wang gave the two sides an opportunity to identify areas to work together, but he did not detail areas of possible cooperation.

    “That was our message – that (we have) the opportunity here to achieve some strategic stability and identify areas where we can cooperate together on and build better communications and a working trust,” he said.

    The Chinese foreign ministry called Friday’s meeting “positive, pragmatic and constructive” in a statement published after Rubio spoke to the media.

    Both sides “agreed to strengthen diplomatic channels and communication and dialogue at all levels in all fields,” the statement said. It also said Wang reiterated calls for Washington to view China with an “objective, rational and pragmatic attitude” and treat it in an “equal” manner.

    Trump’s trade war has added a layer of complexity to Rubio’s first trip to Asia as Washington’s top diplomat. The US in recent days sent letters to a number of countries announcing the tariff rates they would face in less than a month unless they strike trade deals with the US.

    Eight of the 10 countries in ASEAN – along with South Korea and Japan – will face tariffs from the US on August 1, if the implementation deadline holds.

    That’s created an opening for Chinese Foreign Minister Wang, who has looked to project a message that China remains a stable economic partner for the region. In meetings with ASEAN counterparts Thursday, Wang said China “always regards” ASEAN as a “priority” for China’s regional diplomacy.

    US government officials have positioned Rubio’s trip as part of an effort to show that Washington remains committed to the region, where China is a key economic partner but also has friction with nations like the Philippines over its aggression in the South China Sea.

    “In his first trip to Asia as secretary of state, Secretary Rubio is focused on reaffirming the United States’ commitment to advancing a free, open and secure Indo-Pacific region,” Tammy Bruce, the State Department spokeswoman, said in a statement earlier this week.

    On Friday, Rubio pushed back on the idea that US tariffs could create an opportunity for China economically in the region, and said Washington is committed to addressing “tremendous trade imbalances” with countries that have accumulated over the past few decades.

    “We’re resetting tariff levels with virtually every country in the world,” he told journalists, noting that such imbalances are “unfair to America and American workers.”

    Last year, the US notched a $295 billion goods trade deficit with China, according to data from the US Census Bureau.

    “I think countries are going to trade with multiple countries. We don’t view this as an opening for anyone. We don’t view it that way. We view it as an opportunity to reset global trade in a way that’s fair for Americans after two or three decades of unfairness,” he said.

    Japan’s Prime Minister Shigeru Ishiba in recent days said his country needs to wean itself off of dependence on the US – particularly citing security – as Tokyo faces the prospect of new tariffs. Rubio pointed to active US-Japan military exercises before making the case that such a move would be positive.

    “The idea that Japan’s military would become more capable is not something we would be offended by; it’s something we would actually be encouraged by,” Rubio said.

    CNN’s Anna Cooban and Shawn Deng contributed to this report.

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  • 3D Structure Key to Shaping Gene Activity

    3D Structure Key to Shaping Gene Activity

    In biology textbooks and beyond, the human genome and DNA therein typically are taught in only one dimension. While it can be helpful for learners to begin with the linear presentation of how stretches of DNA form genes, this oversimplification undersells the significance of the genome’s 3D structure.

    To fit in the nucleus of our cells, six feet of DNA is wound up like thread on protein spools called histones. In its packaged form called chromatin, coiled up DNA features many loops and clumps. While it may look random and messy to the untrained eye, these tumbleweed-like shapes bring certain genomic regions into close contact while sheltering others.

    Problems with this 3D structure are associated with many diseases including developmental disorders and cancer. Almost 12% of genomic regions in breast cancer cells have incurred issues with their chromatin structure, while other structural issues are known to cause T-cell acute lymphoblastic leukemia.

    Scientists at Sanford Burnham Prebys and colleagues in Hong Kong published findings June 27, 2025, in Genome Biology demonstrating a new approach for better understanding chromatin’s 3D structure and its influence.

    The research team hypothesized that the 3D shape of regions of the genome influences how genes are regulated.

    “We know that many regions of the genome tend to form what are known as topologically associating domains or TADs,” said Kelly Yichen Li, PhD, a postdoctoral associate at Sanford Burnham Prebys and lead author of the study. “Parts of the genome within these domains can interact more frequently with each other, while they tend to be isolated from the region outside this domain.”

    The investigators noticed when taking many images of chromatin to conduct spatial mapping experiments, TAD-like regions of the genome in individual cells tended to take a globular shape, albeit with the varied bumpiness and spherical irregularity of a supermarket’s selection of potatoes. Certain characteristics of these regions in the 3D images suggested they may influence the function of nearby genes.

    “If you picture these clumps of chromatin fiber being roughly in the shape of a potato, we predicted that regions of the genome closer to the surface are more active due to exposure to nearby biochemical signals in the cell nucleus,” said Yuk-Lap (Kevin) Yip, PhD , a professor and the interim director of the Center for Data Sciences at Sanford Burnham Prebys, and the senior and corresponding author of the manuscript.

    Similar to the protection offered by a potato’s fibrous skin to its starchy flesh, the scientists predicted that signals promoting gene expression would have more difficulty reaching regions of the genome buried near the core of a globular wad of chromatin. To test this, they developed a method of measuring a genomic region’s proximity to the isolated center of a chromatin clump.

    “We used a metric to quantify the ‘coreness’ of a genomic region in a chromatin domain,” said Li. “This measure also allowed us to define the surface and core, and we went on to show that surface regions are more active than core regions.”

    “The type of data we can apply this measure to is becoming quite plentiful,” said Yip. “There is a lot of potential to study how coreness links to gene activity and disease in different cell types.”

    Yip and Li plan to continue collaborating with the lab of Pier Lorenzo Puri, MD , to advance our understanding of how the 3D structure of the genome affects muscle stem cell development and the progression of muscular dystrophy.

    Additional authors include:

    • Savio Ho‑Chit Chow, Chiara Nicoletti and Pier Lorenzo Puri from Sanford Burnham Prebys
    • Qin Cao and Huating Wang from The Chinese University of Hong Kong
    • Danny Leung from The Hong Kong University of Science and Technology

    The authors of the study were supported by the National Institutes of Health, National Cancer Institute, National Institute on Aging, Sanford Burnham Prebys, California Institute for Regenerative Medicine, Hong Kong Research Grants Council General Research Fund, National Natural Science Foundation of China and The Chinese University of Hong Kong.

    The study’s DOI is 10.1186/s13059-025-03659-7 .

    /Public Release. This material from the originating organization/author(s) might be of the point-in-time nature, and edited for clarity, style and length. Mirage.News does not take institutional positions or sides, and all views, positions, and conclusions expressed herein are solely those of the author(s).View in full here.

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  • Early Release – A Roadmap of Primary Pandemic Prevention Through Spillover Investigation – Volume 31, Number 8—August 2025 – Emerging Infectious Diseases journal

    Early Release – A Roadmap of Primary Pandemic Prevention Through Spillover Investigation – Volume 31, Number 8—August 2025 – Emerging Infectious Diseases journal

    Disclaimer: Early release articles are not considered as final versions. Any changes will be reflected in the online version in the month the article is officially released.


    Author affiliation: Johns Hopkins University, Baltimore, Maryland, USA (E.S. Gurley); Cornell University, Ithaca, New York, USA (R.K. Plowright).

    Pandemics occur when a pathogen is transmitted across continents through human populations that lack prior immunity (1). Most pathogens that start pandemics are zoonotic, originating in wildlife or other animals (1). Typically, those animal pathogens are novel to humans, so most humans are susceptible, and if those pathogens have or gain the ability to transmit between humans, they pose a pandemic risk. In the wake of the COVID-19 pandemic, pandemic preparedness has been a focus of global engagement. Although such efforts include valiant plans, they largely focus on slowing the spread or mitigating the effects of a pathogen after it has already entered the human population. Initiatives of note include the Center for Epidemic Preparedness and Innovation’s plans to deliver vaccines within 100 days of an emerging threat, the World Bank’s investment in surveillance in low- and middle-income countries, and the World Health Organization’s efforts to develop more rigorous global agreements on investigation and collective action. Although those strategies enhance our responses to emerging infection outbreaks, they primarily address scenarios after a pathogen has established transmission between humans. However, the task of stopping the pathogen from entering the human population in the first place, spillover prevention, remains a neglected area in discussions and plans for pandemic risk mitigation.

    A spillover occurs when a pathogen infects a new host species (2,3). The vast majority of spillovers will not lead to an outbreak or pandemic. However, for pathogens with pandemic potential, each spillover into a human is an opportunity to launch a pandemic. Most pandemic prevention plans focus on finding outbreak events earlier, notifying neighboring countries, assembling effective outbreak response teams, and enhancing global surveillance for spillover and outbreak events. Those measures are all crucial. However, preventing the spillover in the first place should be a fundamental component of our global strategy for preventing pandemics.

    Numerous initiatives have attempted to identify potential pandemic causing pathogens before they cause outbreaks. One approach is to model geographic areas at high risk for spillovers, correlating putative drivers with locations of past spillovers and overlap of humans and reservoir species (46). Those efforts aim to focus surveillance and resources on areas or species of high risk. Substantial investments have led to the discovery of new viruses infecting rodents, bats, and primates, including viruses that were phylogenetically related to outbreak causing pathogens, suggesting a potential risk for spillover (719). Although such efforts have produced findings of interest, they have not produced actionable public health data. Those approaches do not inform which pathogens are spilling over and the mechanisms driving these events.

    Spillovers do provide actionable data. Once an emerging pathogen infects a human, a public health threat is actualized. Those events garner our attention and concern much more than hypothetical risk warnings. Particularly alarming is evidence of transmission of the pathogen from human to human, because this capability is necessary to cause a pandemic. For example, if there was evidence that persons infected with bovine strains of avian influenza H5 across the United States (20) were able to infect others, the risk of a pandemic from this virus would increase drastically.

    Figure 1

    Figure 1. A visual guide to One Health investigations of spillovers to assist with primary pandemic prevention. One Health investigations trace spillover events backward from detection, systematically uncovering the causal chain that…

    Every spillover offers a critical opportunity to learn about an emerging public health threat and the conditions that aligned to enable the spillover occurrence. Investigating those events requires a transdisciplinary approach, often best conceptualized as a One Health investigation that integrates multiple fields of expertise (Figure 1). The investigation typically begins with medical experts who understand the clinical manifestations of the disease and natural history of infection because the spillover is detected when a sick person seeks care. Spillovers sometimes also occur first in other species, which become bridging hosts to humans. Laboratory analysis of the genetic sequence of the pathogen can provide more information about its origins and potential reservoir hosts. Concurrently, epidemiologic investigations can determine the exposures that led to infection and assess if transmission is ongoing through extensive contact tracing efforts. Next, veterinary and ecologic investigations of animals in the affected communities can identify potential reservoir species and bridging hosts. Social scientists contribute in-depth understanding of how local practices might have enabled exposure and transmission, including human–animal interactions and their drivers. Finally, environmental and ecologic investigations elucidate how changes in the reservoir host condition or distribution might have enabled spillover. The timing of those investigations is critical because the conditions for spillover can be fleeting, so rapid identification and investigation of spillovers is vital.

    Figure 2

    A roadmap of primary pandemic prevention through spillover investigation from discovery to the prevention of zoonotic spillover. The pathway from discovery of a zoonotic pathogen in reservoir hosts to the prevention of future spillovers often begins with the detection of spillovers in persons or domestic animals. If those detections prompt One Health investigations, followed by in-depth studies to identify the root causes of spillover, the resulting knowledge can inform the design, testing and implementation of interventions to address both proximal and distal drivers of spillover risk.

    Figure 2. A roadmap of primary pandemic prevention through spillover investigation from discovery to the prevention of zoonotic spillover. The pathway from discovery of a zoonotic pathogen in reservoir hosts to the…

    One Health spillover investigations represent a crucial step in a broader continuum of actions designed to move from identifying mechanistic, proximal causes of spillover to designing and testing interventions to prevent them. This continuum from discovery to spillover prevention (Figure 2) encompasses multiple interconnected steps: discovery of the zoonotic pathogen in reservoir hosts, detection of spillover events, carrying out One Health spillover investigations, and identifying the transmission pathways and conditions that enabled spillover. The subsequent steps involve iterative research to develop, test, and deploy interventions to prevent spillovers by targeting both proximal and upstream causes. Each step informs the others, creating ongoing feedback essential for pandemic prevention.

    Spillover investigations are crucial for pandemic prevention, and more effort is needed to identify and study spillovers. There are multiple barriers to identifying spillovers that span global, national, and local levels. Because of those barriers, many spillovers remain undetected or unreported. At the local level, there might be insufficient resources to diagnose common causes of disease, much less rare and emerging pathogens. Even if that barrier is overcome, communities might be apprehensive about uncovering emerging pathogens because that process can lead to blame, stigmatization, and negative economic impacts. At the national level, there are political, financial, and economic threats to navigate. The reality is that spillovers are almost always negative events for governments. Spillovers are politically sensitive and sometimes not reported out of fear. Reporting of emerging pathogen outbreaks has led to severe economic outcomes for reporting countries, including travel bans or trade embargoes (2123). Once a spillover is identified, governments might be expected to expend considerable resources for investigation and response to reduce the global pandemic risk. For governments that have threadbare budgets for combating endemic public health problems, there might be little desire to take on those additional actions. Although the numerous disincentives to spillover detection are formidable, we have much to gain by overcoming them.

    When investigations of spillovers, particularly those conducted through a One Health approach, have taken place, they have yielded critical insights and even solutions to prevent future spillovers (Figure 2). For example, Hendra virus is an often-fatal virus transmitted from bats to horses and subsequently to humans in Australia. Ecologists involved in the investigations of Hendra virus spillovers noted unusual bat activity in the paddocks of affected horses. Bats were feeding on unripe figs and other foods associated with starvation avoidance. This observation prompted the researchers to hypothesize that food shortages for bats were somehow associated with spillovers. Subsequent long-term studies revealed that climate fluctuations, interacting with habitat loss, led to acute food shortages that drove bats into agricultural areas and caused them to shed Hendra virus in proximity to horses (24). During those investigations, researchers noted that spillovers did not occur when remnant patches of critical habitat flowered, providing food for bats. This finding suggested a potential solution: restoring critical habitats to mitigate spillovers (24). This example illustrates the critical role of spillover investigation and subsequent studies to understand the mechanisms underlying spillovers. When mechanisms are understood, interventions to prevent future occurrences become apparent. Restoration of critical habitat has begun, but it will take more than a decade to determine if that intervention decreases the risk for Hendra virus spillovers.

    Nipah virus transmission in Bangladesh provides another excellent case study about how looking for spillovers and then conducting One Health investigations have led to major insights into proximal causes of spillover and possible targets for spillover prevention (Figure 2). The first outbreaks of Nipah virus were discovered in Bangladesh in 2001 (25), and after years of One Health investigations of spillovers, an understanding of the source began to form in 2005 (26). Epidemiologic studies identified date palm sap consumption as a key risk factor for Nipah virus infection, and social scientists studied how the sap was harvested and sold (2629). Date palm sap is collected from trees and drunk fresh during the cool, winter months; it is a cultural delicacy (29). Wildlife investigations identified that bats shed virus in their urine and saliva (30), ecologic investigations revealed that bats drink and contaminate date palm sap as it drips into the pots (31), and virologic studies showed that Nipah virus is stable in date palm sap (32). Further studies then demonstrated that simple covers of the pots and sap stream on the tree, which were already being used by some sap collectors, would protect the sap from contact with bats (33,34).

    Spillover dynamics are driven by the interaction of multiple complex systems, including infection dynamics in the reservoir hosts, their shifting population distributions, and emergent human behaviors and practices (Figure 1). Drivers span from local alterations in land use change to global climate. Investigating the underlying drivers of spillovers often requires sustained effort over years or decades (Figure 1), extending beyond the duration of individual grants, or any single person’s tenure in a particular job. However, the example of Hendra virus spillover investigations in Australia exemplifies how a strong curiosity and a commitment to understanding the mechanisms underlying spillovers can lead to the potential for ecological solutions to prevent pandemics (24).

    In summary, we have presented evidence about how a One Health approach to spillover investigation can lead to spillover prevention by using Hendra and Nipah virus as case studies. However, those approaches are applicable to any spillover pathogen, not just viruses, and any reservoir host, not just bats. Opportunities to learn more about and prevent spillovers are frequent but often missed. We know very little about the specific spillovers that led to most of the large outbreaks or pandemics in the past 100 years, mostly because by the time investigations began, the trail was cold. For example, the origin of the 2013–2016 Ebola epidemic in West Africa was not investigated until months after its onset, leaving the initial spillover that led to that outbreak uncertain, similar to most other Ebola outbreaks (35,36). The origins of several recent spillovers remain unresolved, including how Nipah virus first spilled over to humans in Kerala, India, in 2018, 2019, and 2023 (37,38), and how H5N1 spilled over into dairy cattle in the United States (20). The origins of the COVID-19 pandemic are likely to remain unsolved indefinitely, because of delays in investigations. Until we dedicate ourselves to the search for and One Health investigation of spillovers, we remain vulnerable to their devastating consequences.

    Dr. Gurley is an epidemiologist at the Johns Hopkins Bloomberg School of Public Health. Her research interests include the mechanisms of zoonotic spillover and prevention strategies for Nipah virus and other emerging infections in Bangladesh.

    Dr. Plowright is a professor at Cornell University and a Cornell Atkinson Scholar at the Cornell Atkinson Center for Sustainability. Her research interests include transdisciplinary approaches to identify the mechanisms driving zoonotic spillover and informing strategies to prevent the emergence of novel pathogens and future pandemics.


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  • Pedro Pascal Addresses ‘Fantastic Four’ Casting Criticisms

    Pedro Pascal Addresses ‘Fantastic Four’ Casting Criticisms

    It’s hard to imagine MCU fans anticipating any casting more in recent years than Fantastic Four. After long months of rumors and speculation, Marvel Studios announced their lineup on Valentine’s Day 2024, with Pedro Pascal as leading hero Reed Richards/Mister Fantastic. Criticisms of the actor’s appearance have since flooded the internet, with many social media users calling Pascal too old for the part.

    The 50-year-old star of “The Last of Us” and “The Mandalorian” said he took these comments to heart more than usual.

    “I think that sometimes the outside will find you no matter how much you try to protect yourself from it, and it just comes with the territory,” Pascal told AP Entertainment at a London-based “Fantastic Four” fan event. “I think maybe my nerves were bigger than they usually are, and so I think I just was a little bit more sensitive to the love that people have for stories like this, because I know that they wouldn’t exist if it weren’t for the love that people have for these characters.”

    Matt Shakman’s “The Fantastic Four: First Steps” takes place in an alternate universe with a retro-futuristic 1960s-inspired setting. According to a recent prequel comic, the events of the film occur roughly four years after the founding of the team of superhero adventurers.

    In Marvel Comics, Reed Richards gains the power to stretch his body in elastic shapes after he leads an unsanctioned research trip to outer space, where he is then inadvertently bombarded with cosmic rays. Along for the ride are Sue Storm (Vanessa Kirby), Johnny Storm (Joseph Quinn) and Ben Grimm (Ebon Moss-Bachrach), all of whom gain likewise extraordinary powers.

    Collage of "Fantastic Four" and "Superman" movies. (Christopher Smith for TheWrap)

    While direct ages are never given for the characters in their origin comic, key details hint at Reed and Ben (longtime best friends) both being in their mid-30s at the time of the accident. Sue has alternatively been portrayed as a relative contemporary of Reed’s and as roughly a decade younger than her husband, placing her in her 20s when she gained her powers. Johnny was a teenager, roughly 16, when they went into space.

    When looking at these ages, Pascal certainly isn’t alone in being on the older side for the character. The actor, who recently turned 50, is joined in the cast by Moss-Bachrach (48), Kirby (38) and Quinn (31). This places all four actors as roughly a decade older than their comic book counterparts would’ve been at the time of their voyage. Of course, an adaptation need not stick to exact parameters of the nearly 64-year-old origin story.

    But performance isn’t about appearance alone. Pascal asserted that he takes the role seriously and intended to portray the character in a way he hopes fans will find satisfying.

    “I think that it’s very important for me that expectations be fulfilled,” he said. “But I also know that the only way to do that is to give it all my focus and all my heart and my body and my soul, and so that was the best I could do.”

    Despite Pascal’s rocketing popularity over the past several years, “The Fantastic Four: First Steps” presents the actor with a unique challenge. Although he has portrayed characters in popular franchises like “Star Wars,” “Game of Thrones,” “The Last of Us” and the DC Comics universe, Reed Richards will easily be the most popular character he’s taken on to date.

    The actor seems to be enjoying the challenge.

    “It is the best time of my life,” Pascal said at the fan event. “I look around, and it’s an incredible reflection of what I’m experiencing right now. I’m having an amazing time.”

    “The Fantastic Four: First Steps” rockets into theaters July 25.

    The cast of Marvel's "The Fantastic Four: First Steps" (Marvel Studios)


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  • Armed men kidnap, kill nine bus passengers in Balochistan, BLF claims responsibility – Firstpost

    Armed men kidnap, kill nine bus passengers in Balochistan, BLF claims responsibility – Firstpost

    Pakistan’s authorities retrieved the bullet-ridden bodies of nine bus passengers kidnapped by insurgents in a spate of attacks on buses in the mountainous southwestern province of Balochistan, officials said on Friday

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    Authorities in Pakistan have recovered the bullet-riddled bodies of nine bus passengers who were kidnapped by insurgents during a series of attacks in the mountainous southwestern province of Balochistan, officials confirmed on Friday.

    The separatist Baloch Liberation Front (BLF) claimed responsibility, accusing the victims —identified as laborers — of spying for Pakistani intelligence agencies.

    Baloch separatists, long demanding a larger share of regional resources, have previously targeted individuals from the eastern province of Punjab in similar killings.

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    Government official Naveed Alam said the bodies were discovered overnight in the mountains, while provincial spokesman Shahid Rind confirmed that the passengers were seized from two buses Thursday evening.

    “We are identifying the bodies and reaching out to their families,” Reuters quoted Rind as saying, adding that the victims, working as labourers in the restive region, were returning home to Punjab.

    They include two brothers who were going to attend the funeral of their father, Alam said.

    Ethnic insurgents accuse Pakistan’s government of stealing regional resources to fund expenditure elsewhere, mainly in the sprawling province of Punjab.

    Security forces foiled three insurgent attacks on Thursday before the kidnappings, Rind said, accusing neighbour and arch rival India of backing the militants.

    The Indian foreign ministry did not immediately respond to a Reuters request for comment.

    New Delhi denies accusations by Islamabad that it is funding, training and backing the militants in a bid to stoke instability in the region, where Pakistan relies on China among international investors to develop mines and mineral processing.

    “India is now doubling down to further its nefarious agenda through its proxies,” the Pakistani army said in a statement in remarks that followed the worst fighting in nearly three decades between the nuclear-armed foes in May.

    The Baloch Liberation Army (BLA) is the strongest among the insurgent groups long operating in the area bordering Afghanistan and Iran, a mineral-rich region.

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    In recent months, separatists have stepped up their attacks, mostly targeting Pakistan’s military, which has launched an intelligence-based offensive against them.

    Their other main targets have been Chinese nationals and interests, in particular the strategic port of Gwadar on the Arabian Sea, with the separatists accusing Beijing of helping Islamabad to exploit resources.

    The BLA blew up a railway track and took over 400 train passengers hostage in an attack in March that killed 31.

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