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  • Day four round-up: Katzberg, Kipyegon and Kerr strike gold again in Tokyo | News | Tokyo 25 – worldathletics.org

    1. Day four round-up: Katzberg, Kipyegon and Kerr strike gold again in Tokyo | News | Tokyo 25  worldathletics.org
    2. Hummel and Halász win hammer medals in Tokyo 2025  European Athletics
    3. CP NewsAlert: Katzberg wins hammer throw gold at world athletics championships  CFJC Today Kamloops
    4. Canada’s Ethan Katzberg captures hammer-throw gold at worlds  MSN
    5. Katzberg smashes championship record to win second straight hammer throw world title  olympic.ca

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  • Sky to cut 600 jobs in streaming expansion plans

    Sky to cut 600 jobs in streaming expansion plans

    Sky is planning to cut 600 UK jobs as it looks to focus on its streaming services.

    The media organisation has launched a consultation on proposed changes, which affect 900 roles. However, it expects 600 positions will be axed.

    About two-thirds of jobs to go are understood to be at sites in Leeds, London and Livingston, West Lothian.

    Since 2023, Sky has cut almost 3,000 roles including engineers installing satellite dishes and earlier this year it announced the closure of three call centres, slashing 2,000 jobs.

    Sky, which employs more than 20,000 people in the UK, is understood to be wanting to refocus efforts on improving its digital and TV services, rather than creating new platforms.

    According to the broadcaster, the cuts are not part of a cost-cutting exercise nor are they based on individual performance.

    Those affected by the cuts could be redeployed to other roles within the business.

    A spokesperson for the broadcaster said in recent years it had launched a set of products including Sky Glass, Sky Stream and a full fibre broadband service.

    “As we look ahead, we are shifting our approach to bring customers the next generation of experience by investing in digital-first service, unbeatable content, and even better performance from our products, powered by the best of global innovation,” they said.

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  • Japanese girl group AKB48 release AI-assisted single after fan vote

    Japanese girl group AKB48 release AI-assisted single after fan vote

    Mark SavageMusic correspondent

    EMI/Universal Japan AKB48 on the cover of their single Oh My Pumpkin!EMI/Universal Japan

    AKB48, with more than 40 members, are one of the most successful bands in Japanese pop

    One of Japan’s biggest girl groups, AKB48, have released a single that was partially generated by artificial intelligence, after a televised songwriting contest.

    The competition saw composer Yasushi Akimoto, whose songs have collectively sold more than 100 million copies, go head-to-head with an “AI Akimoto” trained on his writing style.

    They each composed a new song for AKB48 as the group celebrated their 20th anniversary. Fans were presented with both tracks and asked to vote for their favourite.

    The results were announced live on Japanese TV – with the AI song, Omoide Scroll, winning by more than 3,000 votes. “What? You’re kidding me!” Akimoto responded as the scores were revealed.

    Nippon TV Results of the AI song contestNippon TV

    The AI song was crowned the winner after a five-day online vote

    The song has now been uploaded to streaming services as AKB48’s 67th official single.

    The real Akimoto’s song, called Cécile, has been deleted from YouTube.

    The Japanese music industry will be watching closely to see how fans react to Omoide Scroll, now they know it was machine-generated.

    Japan’s Oricon singles chart will provide the ultimate litmus test – as AKB48’s last 53 songs have gone to number one.

    If their new record breaks that streak, it may be regarded as a rejection of the technology.

    EMI/Universal Japan The cover art for AKB48's Nantettatte AKB48EMI/Universal Japan

    The band’s seventh album, Nantettatte AKB48, topped the Japanese charts last December

    Yasushi Akimoto is one of the most prominent writers and idol-makers in Japanese pop, and was once called the “Steve Jobs of otaku” – a Japanese term for people with an obsessive interest in a specific hobby such as anime or video games.

    He is responsible for creating chart-topping bands including Onyanko Club, AKB48 and their various spin-offs; and is a professor at the Kyoto University of Art and Design.

    For the AI songwriting contest, Google’s Gemini software was trained on Akimoto’s writing style, including essays, vocabulary and songwriting techniques.

    It then generated the lyrics for a new song and chose which of AKB48’s members (there are 43 in total) would perform the lyrics and choreography.

    The song itself was completed and arranged by humans, although some Japanese media reports say the AI software was also responsible for the melody.

    Akimoto followed the same process, and the two songs were put to a public vote, without revealing which was which.

    The entries were:

    • Cécile. Written by Akimoto, it is a Motown pastiche with a French twist. The lyrics describe a girl’s obsession with her female best friend: “I copy the way you style your hair / Please don’t notice my love for you.” Akimoto chose AKB48’s current band leader Kuranoo Narumi to sing the lead vocal.
    • Omoide Scroll. Written by AI Akimoto, takes a more modern approach, with a lite-techno backing and a group chorus. The lyrics depict heartbreak in the smartphone era: “I stop the scroll of memories / Like the battery light fading out.” After analysing interviews with AKB48, the AI chose newcomer Ito Momoka to perform the song, highlighting her ability with emotional storytelling.
    AKB48 Members of AKB48 pose next to a screen showing an "AI" image of their composer Yasushi AkimotoAKB48

    The members of AKB48 posed with “AI Akimoto” after their victory

    In the run-up to the contest, Akimoto was philosophical about the process.

    “Everyone keeps asking me, ‘What will you do if you lose?’,” he said.

    “It’s fascinating to think that AI could create such a great song, and I’m looking forward to it.

    “I’d like to hear [fans] say, ‘I never thought of that!’”

    When the votes were counted, the AI won by 14,225 votes to Akimoto’s 10,535.

    Speaking on live television, the musician admitted he was “disappointed” by the loss.

    “That’s a shame. I wrote it with all my might,” he said.

    The AI program was also asked for a response, and commented: “Maybe the real me was trying to show something new by losing this time.”

    “Shut up!” Akimoto retorted, prompting laughter in the studio.

    The composer was comforted by Grammy-winning jazz musician Hiromi Uehara and former AKB48 singer Sashihara Rino, who encouraged a rematch.

    Akimoto laughed off the suggestion, but expressed frustration about technology’s ability to mine data and find the “maximum common denominator”.

    However, he conceded: “I think the AI ​​song is a good song.”

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  • Diotima: A Fashion Secret No More – The New York Times

    1. Diotima: A Fashion Secret No More  The New York Times
    2. Radical freedom: Rachel Scott’s Carnival of delight  Hero Magazine
    3. Rachel Scott’s Proenza Debut & A Kering-Valentino Update  puck.news
    4. Proenza Schouler Spring 2026 Ready-to-Wear Collection  Vogue
    5. Proenza Schouler’s Spring/Summer 2026 Collection Is An Elegant Foray Into A New Era  L’OFFICIEL USA

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  • New imaging technique enhances live-cell visualization in standard lab setups

    New imaging technique enhances live-cell visualization in standard lab setups

    Optical diffraction tomography (ODT) has long been recognized for its potential in non-invasive, label-free imaging of live biological cells. However, a major challenge arises when ODT is applied to standard multi-well cell culture plates, a common tool use under realistic laboratory conditions for biological studies. The geometry of these cell culture plates restricts the range of oblique illumination angles, causing a loss of critical low-frequency information in the captured intensity images. This results in blurry details, reduced contrast, and degraded resolution in 3D tomographic reconstructions, especially when working in high-numerical-aperture (NA) systems. Despite the substantial potential of ODT for live-cell imaging, these challenges hinder its broad applicability for realistic biological environments. The difficulty of overcoming the illumination mismatch is particularly problematic for live-cell imaging in high-throughput settings, where multi-well cell culture plates are indispensable. This limitation prevents accurate tomographic reconstruction, which is necessary for analyzing fine cellular features, and thus impacts the overall effectiveness and efficiency of imaging systems in real-time biological monitoring.

    To overcome these challenges, researchers from the Smart Computational Imaging Laboratory (SCILab) at Nanjing University of Science and Technology, led by Professor Chao Zuo, have developed a novel dark-field Fourier ptychographic diffraction tomography (DF-FPDT) technique. Their recent work was published in Volume 1, Issue 1 of iOptics on 19 August 2025. In this study, they introduce an innovative imaging framework that leverages non-matched illumination to enhance high-contrast live-cell imaging. By selectively updating high-frequency components inherent in intensity measurements and removing low-frequency background artifacts, DF-FPDT addresses the limitations of conventional optical diffraction tomography. This breakthrough technique enables high-resolution, high-contrast 3D reconstructions while retaining the volumetric, quantitative, and non-interferometric advantages of traditional Fourier ptychographic diffraction tomography (FPDT).

    Prof. Zuo briefly explains the significance of this method, stating, “DF-FPDT uniquely leverages non-matched illumination to selectively update only high-frequency components, enhancing fine structural details without the need for additional hardware or post-processing. This provides a powerful tool for live-cell imaging, maintaining the core advantages of FPDT while addressing the limitations posed by standard laboratory setups.”

    To validate the performance of DF-FPDT, both simulations and experimental measurements demonstrated its ability to enhance structural contrast and improve image quality. The 3D reconstructed tomograms generated using DF-FPDT show a strong structural similarity between the simulated and experimental results, and highlighting superior contrast and finer details compared to those obtained using the traditional FPDT algorithm. In live-cell imaging, DF-FPDT successfully visualized intricate subcellular structures and captured dynamic cellular processes, such as mitochondrial fusion and fission, offering real-time, high-contrast, and high-resolution imaging. These findings underscore the potential of DF-FPDT to achieve dark-field-like contrast in live-cell imaging and facilitate dynamic cellular monitoring under standard laboratory conditions.

    Prof. Zuo highlights the transformative potential of DF-FPDT, stating, “DF-FPDT offers significant potential for widespread application in realistic laboratory settings, including drug screening, cellular analysis, and dynamic subcellular monitoring, opening new possibilities in biomedical research.”

    Looking ahead, Prof. Zuo and his team plan to further refine DF-FPDT by integrating adaptive illumination strategies and data-driven approaches such as deep learning-based reconstruction, which could improve real-time imaging and further enhance contrast. Additionally, future developments may include dual-mode imaging, enabling users to toggle between contrast-optimized and full RI reconstructions depending on the application, significantly broadening DF-FPDT’s use in both dynamic live-cell imaging and quantitative analysis.

    “These future enhancements will reveal even greater potential for DF-FPDT in a wide range of biomedical applications, accelerating discoveries in live-cell imaging and beyond,” said Prof. Zuo.

    Source:

    Nanjing University of Science and Technology

    Journal reference:

    Ullah, H., et al. (2025). Intrinsic dark-field Fourier ptychographic diffraction tomography under non-matched illumination. iOptics. doi.org/10.1016/j.iopt.2025.100006

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  • I Tried Snap’s Evolving AR Glasses (Again). Get Ready for More AI

    I Tried Snap’s Evolving AR Glasses (Again). Get Ready for More AI

    Among the flood of smart glasses expected in the next couple of years, Snap is preparing its own new pair of Spectacles. CEO Evan Spiegel told me the new augmented reality glasses will be smaller than the thick, developer-focused set I’ve tried before. I stepped back into those developer Snap Spectacles glasses again recently to test-drive Snap OS 2.0, part of what the company is planning in advance of those glasses arriving.

    What I realized is that Snap’s pushing forward into territory that Meta and Google haven’t fully entered yet, but will. And Snap’s news is clearly trying to preempt Meta’s expected reveal of display-enabled glasses with gesture controls this week.


    Don’t miss any of our unbiased tech content and lab-based reviews. Add CNET as a preferred Google source.


    Snap is an interesting player in the AR glasses arena because, right now, it’s pretty much the only one making a truly self-contained pair that can run a variety of 3D apps with hand-tracking controls. Spectacles in their developer version are rough-edged, and Snap doesn’t even make prescription inserts that match my eyes, but the apps it runs feel sort of like what Apple’s Vision Pro can do, shrunk way down. And developers are already using them a fair amount to workshop real-world outdoor AR experiences that other hardware can’t do yet.

    A gallery of video captures in Snap AR OS 2.0

    Snap’s video of overlaying a gallery of videos into a room with Snap OS 2.0. On actual Spectacles, the field of view is a narrow fraction of this.

    Snap

    Snap’s upgraded OS has a better web browser, along with a gallery-viewing app for looking at video captures made on the glasses and an app to browse Snap’s own vertical social videos and comments. 

    I tried all of those, but the experiences that surprised me were live translation, a generative AI assistive tool called Spotlight, and a surprise port of a fitness game called Synth Riders that I got to play.

    Snap’s Spectacles in their current form are weirdly bulky and have a limited vertical field of view that feels like projecting a phone screen in the air. They can’t accommodate my prescription yet, either, so I had to make do with a step-down insert and squint a bit. But their hand-tracking and 3D spatial features feel, at best, like a mini version of the Quest 3 and Vision Pro.

    There aren’t any captures that can show off what I demoed that impressed me, but I’ll explain them as best I can.

    Holding a pair of Snap Spectacles AR glasses up and showing the lenses

    Snap’s spectacles are designed entirely to overlay 3D experiences into your physical space. The lenses are transparent, but the effect feels more like VR-based mixed reality.

    Scott Stein/CNET

    Pop-up AI in the real world

    Live translation is everywhere now, from Apple’s latest AirPods to Meta’s Ray-Ban glasses. Snap’s spin on its glasses translation shows pop-up text boxes with translation captions on the fly, but what made it interesting to me was that these boxes would float directly below the speaker’s head in 3D space. Because Spectacles can float 3D objects and even flat 2D screens in space at different depths, it ended up making following the conversation feel more organic. Instead of feeling like my glasses had interrupting text, the text seemed more embedded in the world around me.

    That feeling continued with the assistive AI demo, where I wandered up to appliances in the room and asked what they did. Pop-up instructions with suggested steps were suddenly overlaid over parts of the thing I was looking at. A coffee machine was suddenly labeled with helpful steps. Or a refrigerator. Or a bunch of condiments.

    I’ve seen demos like this before, in a sense, but this was apparently done on the fly using generative AI. Would the AI get the steps and information right? I don’t know. I only used it a couple of times, and it seemed OK… and the steps seemed to guess relatively accurately what the parts of each appliance were, and what the condiments were. 

    I appreciated how the labels were in large and clear text, which could make this an interesting model for future assistive glasses.

    But I’d want smaller glasses, ones that work with my eyes…and ones I could wear all the time. It’s unclear how close Snap will get to those goals.

    Scott Stein from CNET wearing big black AR glasses by Snap

    Me wearing Spectacles last year. The design hasn’t changed yet, but the 2026 model should be smaller.

    Scott Stein/CNET

    Fitness aspirations, too?

    A final game app I tried surprised me, too. Synth Riders, a popular hand-tracking rhythm-based VR fitness game, was playable on the Spectacles. It felt rough to play, and Snap’s limited field of view for the glasses meant the experience wasn’t as expansive as on the Quest 3 or Vision Pro, but it’s a little sign of how glasses will aspire toward fitness gaming. Meta might be trying to enter that market soon, too, at Meta Connect.

    Fitness is already the biggest reason I use VR every week. Putting fitness games into glasses is the obvious next step, if someone can find a way to do it without compromising the experience.

    While Synth Riders on existing Snap Spectacles seemed clunky, I’m extremely curious what Snap has in store for its consumer-edition glasses next year that could have better processing, size and battery life. Fitness in glasses like those might make a lot more sense.

    Snap clearly announced these OS moves to get a step ahead of Meta’s imminent reveal of its own next-gen smart glasses, but it’s a sign of how many players are entering the glasses space in the next year. At some point, someone’s going to figure out full standalone AR glasses, and Snap’s still got its tech in the game.


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  • Two-dose treatment for staph bloodstream infections

    Two-dose treatment for staph bloodstream infections

    September 16, 2025

    At a Glance

    • Two doses of the antibiotic dalbavancin produced results similar to standard 4- to 8-week intravenous treatment for complicated bloodstream infections of Staphylococcus aureus.
    • The long-acting drug could provide an effective alternative with fewer burdens and potential complications.

    An NIH-supported clinical trial found that the long-acting drug dalbavancin can be an effective, less burdensome alternative to traditional antibiotics for treating complicated blood infections of Staphylococcus aureus, shown here.  

    Saiful52 / Shutterstock

    Staphylococcus aureus, or “staph,” is the leading cause of bacterial bloodstream infection-related deaths worldwide. For infections of the blood, standard treatment usually requires IV antibiotics for many weeks. During treatment, a long IV line or intravenous catheter must remain inserted into a vein. This can limit a patient’s daily activities and lead to blood clots or secondary infections.

    A group of researchers led by Dr. Nicholas A. Turner at Duke University set out to compare standard treatment for staph bloodstream infections with dalbavancin therapy. Dalbavancin is a long-acting antibiotic administered as two doses a week apart that then remains active in the bloodstream for 4 to 6 weeks. Treatment with dalbavancin requires a catheter inserted for only 1 hour during each dose.

    The research team enrolled 200 adults from 23 sites in the U.S. and Canada. All had been hospitalized with S. aureus bacteremia. They had initially received 3 to 10 days of preliminary treatment with an anti-staph antibiotic.

    Participants were randomly divided into two groups. Half were given two doses of IV dalbavancin 1 week apart. The others were given standard IV treatment for 4 to 8 weeks. Standard antibiotics included cefazolin, anti-staphylococcal penicillin, vancomycin, or daptomycin. Results were published in JAMA on August 13, 2025.

    The researchers found that the two-dose dalbavancin treatment had similar results to the traditional treatment. The team had hoped to find that treatment with dalbavancin was the better therapy. However, it proved slightly safer and equally effective, and may be more suitable for those patients who wish to avoid the inconvenience or risks associated with long-term IV catheters.

    “Our findings give patients and health care providers the data to support an extra choice when deciding on treatment for complicated S. aureus bacteremia,” Turner says.

    “Dalbavancin offers a way to complete therapy without the hassle and hazards of long-term IV access,” adds study coauthor Dr. Thomas L. Holland. “That’s a meaningful shift in how we care for people with serious infections.”

    —by Yolanda L. Jones

    Related Links

    References

    Antibacterial Resistance Leadership Group. Dalbavancin for Treatment of Staphylococcus aureus Bacteremia: The DOTS Randomized Clinical Trial. Turner NA, Hamasaki T, Doernberg SB, Lodise TP, King HA, Ghazaryan V, Cosgrove SE, Jenkins TC, Liu C, Sharma S, Zaharoff S, Wahid L, Renard VJ, Cook P, Raad I, Hachem R, Chaftari AM, Sims M, DeMarco C, Miller LG, McCarthy MW, Morse CG, Lucasti C, Forrest GN, Cherabuddi K, Polk C, Fazili T, Rupp ME, Thompson GR 3rd, Kim K, Strnad L, Schnee AE, McKinnell JA, Ramesh M, Silveira FP, McCarty TP, Lee TC, McDonald EG, Paolino K, Wiegand K, Wall A, Riccobene T, Patel R, Rappo U, Evans S, Chambers HF, Fowler VG Jr, Holland TL. JAMA. 2025 Aug 13:e2512543. doi: 10.1001/jama.2025.12543. Epub ahead of print. PMID: 40802264.

    Funding

    NIH’s National Institute of Allergy and Infectious Diseases (NIAID); AbbVie.

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  • Protein-based blood test detects early signs of ALS

    Protein-based blood test detects early signs of ALS

    September 16, 2025

    At a Glance

    • Researchers have found proteins in blood that accurately detect amyotrophic lateral sclerosis (ALS) long before symptoms emerge.
    • The discovery may offer the first definitive ALS diagnostic test and a potentially promising way to track disease progression in clinical trials.

    Results of an NIH-supported study suggest it is possible to detect ALS via a simple blood test and distinguish it from other clinically relevant conditions, even before symptoms arise.

    Billion Photos / Shutterstock

    In amyotrophic lateral sclerosis, or ALS, misfolded proteins in motor neurons cause progressive muscle weakness and paralysis. People with ALS often die within 2 to 4 years after symptoms start. Many doctors struggle to confirm the diagnosis before symptoms get severe. There’s a critical need for a test that could detect early signs. Such a test would allow earlier treatments and speedier enrollment in clinical trials for testing new medicines. 

    To diagnose ALS, doctors now rely on clinical symptoms and neurological tests. A new study led by Dr. Bryan J. Traynor at NIH’s National Institute on Aging and Dr. Sonja W. Scholz of the National Institute of Neurological Disorders and Stroke shows that detectable signs of the disease can be found in blood samples. This suggests that a protein-based blood test could diagnose the disease long before symptoms appear. Their findings appeared in Nature Medicine on August 19, 2025.

    The researchers used an approach called proteomics to analyze more than 3,000 proteins found in blood samples from ALS patients. They compared the protein data to samples from healthy people and those with other neurological conditions.

    The study team found 33 proteins that distinguish ALS from other neurological conditions. Only two of those proteins had been linked to ALS before. Further study indicated that the 33 proteins are involved in the normal functioning of skeletal muscle, neurons, and energy metabolism.

    Next, the researchers used machine learning to develop a predictive model for identifying ALS. The resulting model included 20 features that were most predictive of ALS. From these features, they developed an ALS risk score that could be calculated for each sample. This model could diagnose ALS with more than 98% accuracy.

    Many of the blood samples from ALS patients were collected years before their symptoms began. Risk scores for these samples were correlated with the time to symptom onset. Scores increased as people with ALS got closer to showing symptoms.

    The findings suggest it’s possible to detect ALS in a simple blood test and distinguish it from other clinically relevant conditions. The results also hint that detectable changes related to ALS begin up to 10 years before symptoms. This may enable pre-symptomatic patients to enroll in clinical trials. The findings also show that hidden changes underlying ALS—most unknown before—arise much earlier than had been suspected. Besides their clinical implications, these discoveries offer new insight into this devastating condition.

    “Today, neurologists still diagnose ALS by a clinical examination much the same way it was done 150 years ago,” Traynor says. “Detecting the disease in a blood test years before symptoms show up substantially moves the ball down the field for both clinical care and for research efforts to develop effective treatments.”

    —by Kendall K. Morgan, Ph.D.

    Related Links

    References

    A plasma proteomics-based candidate biomarker panel predictive of amyotrophic lateral sclerosis. Chia R, Moaddel R, Kwan JY, Rasheed M, Ruffo P, Landeck N, Reho P, Vasta R, Calvo A, Moglia C, Canosa A, Manera U, Snyder A, Saez-Atienzar S, Grassano M, Brunetti M, Casale F, Ray A, Arvind K, Comertpay B, Zhu M, Gibbs JR; American Genome Center; Alba C, Dawson TM, Rosenthal LS, Hall AJ, Pantelyat AY, Narendra DP, Ehrlich DJ, Walker KA, Kosa P, Bielekova B, Egan JM, Candia J, Tanaka T, Ferrucci L, Dalgard CL, Scholz SW, Chiò A, Traynor BJ. Nat Med. 2025 Aug 19. doi: 10.1038/s41591-025-03890-6. Epub ahead of print. PMID: 40830661.

    Funding

    NIH’s National Institute on Aging (NIA), National Institute of Neurological Disorders and Stroke (NINDS), National Institute of Allergy and Infectious Diseases (NIAID); Merck Sharp & Dohme Corporation; Centers for Disease Control and Prevention; Muscular Dystrophy Association; Microsoft Research; Packard Center for ALS Research at Johns Hopkins; ALS Association; Cerevel Therapeutics (now part of AbbVie, Inc.); Italian Ministry of Health; Progetti di Rilevante Interesse Nazionale program of the Ministry of Education; Horizon 2020 program; Horizon Europe program.

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  • Payroll Analytics A Key Focus at PayrollOrg’s Leaders Conference

    Las Vegas traded slot machines for spreadsheets at the PayrollOrg Leaders Conference from September 14–17, 2025. The annual event drew payroll professionals from across the country to explore multiple educational tracks, including the rising role of payroll analytics—not just as a compliance tool, but as a strategic asset.

    With modules focused on turning raw data into actionable insights, the conference spotlighted how payroll teams can drive smarter business decisions. “Analytics is telling a story with data and making that data sing or talk,” reasoned Candace White, “Foundations of Payroll Analytics” program facilitator and director of Payroll Administration and Training for PayrollOrg.

    What Are Payroll Analytics?

    At its core, payroll analytics is the process of collecting, analyzing, and interpreting data related to an organization’s payroll operations. This goes far beyond simply processing payments. It’s about transforming raw data—such as salaries, hours worked, bonuses, and tax deductions—into meaningful insights that drive strategic business decisions. By leveraging tools and techniques from business analytics, payroll professionals can uncover trends, pinpoint inefficiencies, and forecast future costs.

    This allows payroll to transition from a routine administrative function to a strategic one. By integrating payroll data with information from human resources (HR) and finance, professionals can gain a holistic view of the workforce, helping to improve everything from employee retention to financial planning.

    The Business Analytics Process and Its Levels

    Business analytics is a systematic process of using quantitative methods to analyze data and make informed business decisions. This process has different levels of maturity, from basic reporting to advanced optimization.

    • Standard Reports: Simple, static reports that answer “what happened?”
    • Ad Hoc Reports: Customizable reports that address specific questions, such as “how many?”
    • Query Drilldown: Interactive analysis to pinpoint the exact location of a problem.
    • Alerts: Proactive notifications when certain conditions or thresholds are met.
    • Statistical Analysis: Investigating the root cause by answering “why is this happening?”
    • Forecasting: Projecting future outcomes based on historical trends.
    • Predictive Modeling: Using advanced statistics to predict future events with greater accuracy.
    • Optimization: Determining the best course of action to achieve a specific goal.

    Three Types of Business Analytics

    In the real world, these levels of maturity are applied through three main types of analytics:

    • Descriptive Analytics: The most fundamental type, it looks at historical data to understand past events. This is the “what happened?” phase. For example, a business can use descriptive analytics to confirm a spike in overtime costs is due to short staffing during peak hours.
    • Predictive Analytics: This uses statistical models and historical data to forecast future outcomes. It answers the question, “what might happen?” For example, an organization could use predictive analytics to analyze past data on departing employees and predict which current employees are at a high risk of leaving, allowing HR to intervene proactively with targeted retention efforts.
    • Prescriptive Analytics: The most advanced type, it uses optimization and simulation to recommend specific actions that will lead to the best possible outcome. This answers the question, “what should we do?” For example, a retail company could use prescriptive analytics to determine optimal staffing levels to minimize overtime costs while ensuring customer service needs are met.

    The BADIR Framework and the RACI Matrix: Tools for Success

    For a business to leverage analytics effectively, it needs a clear framework for defining roles and responsibilities. The conference highlighted two key tools for this: the BADIR framework and the RACI matrix.

    The BADIR framework is a structured, five-step process that helps organizations use data to solve problems and make effective decisions. The acronym stands for:

    • Business Question
    • Analysis Plan
    • Data Collection
    • Insights
    • Recommendations

    Complementing this process is the RACI matrix, a powerful tool for clarifying roles and responsibilities during a project or process. RACI is an acronym for the four key roles: Responsible, Accountable, Consulted, and Informed. By applying the RACI matrix to an analytics project, an organization can ensure everyone knows their role, preventing confusion and ensuring accountability from the beginning of a project to its completion.

    Payroll Analytics for Compliance

    Utilizing payroll analytics is crucial for businesses to ensure compliance by providing a clear view of their data, helping them proactively identify and fix issues before they lead to costly penalties or legal action.

    • Proactive Issue Detection: Analytics can automatically flag discrepancies that would be difficult to find manually, such as incorrect overtime calculations, misclassifications of employees, or unusual tax withholdings.
    • Ensuring Fair and Accurate Pay: By analyzing pay data, a business can identify potential pay equity issues and ensure all employees are being paid fairly and in accordance with the law.
    • Audit Readiness: Analytics provides a clear, defensible paper trail showing how pay and benefits were calculated, demonstrating due diligence and reducing the risk of penalties.
    • Monitoring Leave and Benefits: Payroll analytics can track paid leave, sick time, and family leave usage to ensure compliance with a variety of paid leave laws.

    Navigating the Barriers to Effective Analytics

    Despite the clear benefits, implementing and using analytics is not without its challenges. The conference highlighted several key barriers, often rooted in data, culture, and skills. However, professionals can navigate these obstacles with a targeted approach.

    • Data Silos and Quality: Fragmented data across different systems, such as HR, finance, and payroll, makes it difficult to get a complete, accurate picture. Organizations can overcome this by investing in a unified payroll system or by using APIs to enable disparate systems to “talk” to each other, creating a more cohesive data set.
    • Lack of a Data-Driven Culture: Many organizations still rely on intuition over data. Building a data-driven culture requires buy-in from the top down. Leadership must champion the use of data in decision-making and reward those who do. It also involves starting small with pilot projects that demonstrate the value of analytics to build momentum and trust.
    • Skill Gaps: Without proper training, professionals may not have the skills to interpret data correctly, leading to flawed analysis and potential pitfalls. To address this, companies can invest in upskilling their current employees through training programs, workshops, and certifications.
    • Integration Challenges: When different platforms don’t communicate with each other, a comprehensive view of the workforce is nearly impossible to achieve, limiting the scope of analysis. Organizations must prioritize solutions with robust integration capabilities. When evaluating new software, a key question to ask is, “How easily does this system integrate with our existing HR, finance, and time-tracking platforms?”

    These steps underscore the importance of investing not just in technology but also in the people and processes needed to build a truly data-fluent organization. By doing so, companies can harness the power of analytics to move beyond simple reporting and unlock a new level of strategic insight.

     

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  • Triple negative breast cancer exploits lymph node niches to block immune defense

    Triple negative breast cancer exploits lymph node niches to block immune defense

    In almost all solid tumors – i.e. cancers with a solid tissue structure – the detection of tumor cells in the lymph nodes is considered a decisive marker for the progression of the disease. Lymph node involvement has a significant influence on the choice of treatment and the chances of survival for patients. In particular, solid tumors in the breast, on the skin or in the gastrointestinal tract use the lymphatic system as the main route for distant metastasis, for example to the lungs, liver and bones. However, lymph nodes also play an important role in the immune system. They serve as a meeting place for various immune cells that cooperate to recognize and fight pathogens.

    This interface between metastasis and immunity is precisely the field of research pursued by Dr Angela Riedel, molecular biotechnologist and junior group leader at the Mildred Scheel Early Career Centre (MSNZ) at Würzburg University Hospital (UKW). She has just published her latest discoveries in Immunity, one of the most renowned journals in immunology. With her small team, she succeeded in conducting an extensive and comprehensive study that included data from both patients and mouse models to generate and substantiate the hypotheses.

    Together, they examined the lymph nodes of mouse models and patients with triple-negative breast cancer (TNBC). This is an aggressive form of breast cancer that accounts for about ten to 15 percent of all breast cancer cases and often affects young women. Targeted standard therapies such as modern hormone therapies are not an option here due to the absence of three key characteristics.

    Premetastatic environment in the lymph node – monocytes become corrupt, FRCs become accomplices

    Their research focused on the tumor-draining lymph node closest to the breast cancer. As it is the first to filter the fluid secreted by the tumor, it is also known as the sentinel lymph node (SLN). Angela Riedel and her research group were the first to demonstrate that the tumor manipulates the environment of the draining lymph nodes even before it settles there. This leads to an altered immune response, which in turn promotes the development of distant metastases.

    ‘We need to understand metastasis better in order to prevent it,’ emphasizes Angela Riedel. ‘This is because the growth of metastases in vital organs poses a significant challenge to the successful cure of breast cancer patients. However, by addressing the immune evasion mechanism in the lymph nodes, we can reduce the risk of metastasis.’

    Her research group identified fibroblastic reticulum cells (FRCs) as the main players in the reprogramming of lymph nodes. These cells form the structural framework of the lymph nodes and release special signals via the cytokines CCL2 and CCL7 that attract monocytes. Monocytes are the largest white blood cells and play a key role in the immune system. However, Angela Riedel’s team observed that the monocytes in TNBC lymph nodes became corrupted and blocked the activity of T cells, which are normally responsible for fighting cancer cells.

    Metastatic niches provide shelter for tumor cells

    ‘Using the latest methods, such as spatial transcriptomics, single-cell RNA sequencing, proteomics, and immunofluorescence, which we established independently in the laboratory, we were able to decipher that these suppressive monocytes accumulate together with FRCs and T cells in specific niches within the lymph nodes,’ reports Moutaz Helal, who, together with Greta Mattavelli, is the first author of the highly regarded study. He joined the Angela Riedel’s group in April 2020 as part of his master’s thesis and has been a doctoral student since October 2021. After completing his bachelor’s degree in pharmacy in Egypt, he completed his master’s degree in molecular oncology as part of the biochemistry programme at the University of Würzburg. At the MSNZ, he finally discovered his love for bioinformatics. He emphasizes the exceptional quality and modernity of the MSNZ’s equipment and campus core facilities.

    But how do FRCs support immune escape and promote the formation of these dangerous pre-metastatic niches? The team was able to show that FRCs are activated via Toll-like receptor 4 (TLR4). Typically, TLR4 is a sensor on the surface of cells of the immune system that acts as an alarm system, reporting dangers. However, it is sometimes misused by tumors to slow down the immune system.

    Fewer metastases in the lungs due to targeted TLR4 blockade

    The group wondered: What happens when this receptor is specifically blocked in the draining lymph node? ‘Our studies in mice showed that targeted inhibition in combination with modern PD1 immunotherapy can restore T-cell activity and significantly reduce distant metastasis in the lungs,’ reports Greta Mattavelli. The Italian-born scientist calls the day she first saw the therapy succeed in the mouse model ‘a day to remember.’ Greta Mattavelli started her PhD in October 2020 as the first doctoral student in Angela Riedel’s group. She earned her bachelor’s and master’s degrees in medical and molecular biotechnology in Milan. In the study, she supervised the laboratory work, which sometimes required night shifts and weekend work for the entire team. And she is more than familiar with the routes across campus to the gynaecological clinic and pathology department.

    In collaboration with the UKW Gynaecological Department headed by Prof. Dr. Achim Wöckel and the Institute of Pathology headed by Prof. Dr. Andreas Rosenwald, the team was able to confirm in patient samples that the same process can also be observed in human TNBC patients. This means that therapies targeting this lymph node environment could also improve the prognosis for patients with aggressive breast cancer.

    PD-L1 on monocytes in lymph nodes as a marker for PD-1 immunotherapy

    At the beginning of 2018, immunotherapy, typically combined with chemotherapy, became the primary treatment recommended in clinical guidelines for patients with PD-L1-positive primary tumors. Background: The surface protein PD-L1 (programmed death ligand 1) expressed by the tumor binds to the PD-1 receptor on T cells and signals them not to attack the tumor. Immunotherapy with antibodies blocks this binding, so that the tumor loses its camouflage and the body’s own T cells can once again develop their natural defences. However, PD-L1 is also often found in high concentrations on monocytes in pre-metastatic lymph nodes. PD-1 immunotherapy, which releases the brake and reactivates the T cells, could therefore also be effective in the early stages of breast cancer, regardless of the immunohistochemical analysis of the mammary carcinoma. According to Angela Riedel, PD-L1 expression on cells of the tumor-draining lymph node could be investigated as a marker for PD-1 immunotherapy.

    Furthermore, the Riedel group is conducting further investigations into the administration of immunotherapy – systemic therapy versus local therapy. In the breast cancer mouse model, the researchers have already observed that immunotherapy works more efficient when administered subcutaneously, as close as possible to the lymph nodes. The choice of chemotherapy to combine with immunotherapy is also under examination. Another step is the identification of patient groups who would benefit from improved immunotherapy based on their approach.

    ‘Dr Angela Riedel is an excellent scientist and her work is groundbreaking,’ praises Prof. Dr Achim Wöckel, Director of the Würzburg University Women’s Hospital. “Triple-negative breast cancer remains a highly aggressive disease despite effective therapies due to its metastasis patterns. I am very pleased that, together with Angela Riedel’s group, we are gaining a better understanding of the interactions between tumor cells and the immune system. These project is linked to the long-term goal of developing innovative therapy options to prevent or reduce the spread of the tumor and testing their effectiveness.”

    The immune system is also becoming increasingly important in everyday cancer treatment

    Angela Riedel finds it not only exciting but also encouraging that the immune system is becoming increasingly important in the treatment of cancer and other diseases and that the latest findings are being incorporated into therapy recommendations in a timely manner. Even simple measures such as sport, exercise, stress management and a healthy diet can have a positive effect on the immune system and metastasis. There are numerous publications on this subject, including one by her. Three years ago, she published an article in the Journal Cancer Immunology Research on how lactic acid, which tumors release during glycolysis, reprograms the downstream lymph nodes and blocks the immune response.

    In 2024, together with Prof. Dr. Leo Rasche, she demonstrated in the journal Blood how differently the microenvironment of myeloma cells and extramedullary lesions reacts to the immune system.

    Several million euros in third-party funding secured

    Angela Riedel studied molecular biotechnology at Bielefeld University and earned her doctorate in molecular oncology at the University of Southern Denmark in Odense. From 2013, she worked as a postdoctoral researcher at the MRC Cancer Unit at the University of Cambridge before moving to the German Cancer Research Centre in Heidelberg in 2017. In 2020, she took over as head of a junior research group at the Mildred Scheel Early Career Centre (MSNZ) in Würzburg. In addition to German Cancer Aid, which funds the MSNZ, her research is supported by the Multiple Myeloma Research Foundation (MMRF), the Else Kröner Fresenius Foundation, the Wilhelm Sander Foundation, the Interdisciplinary Centre for Clinical Research (IZKF) and the ‘Forschung hilft’ foundation.

    Source:

    Julius-Maximilians-Universität Würzburg, JMU

    Journal reference:

    Mattavelli, G., et al. (2025). A TLR4-dependent fibroblast-monocyte axis in tumor-draining lymph nodes contributes to metastasis in triple-negative breast cancer. Immunity. doi.org/10.1016/j.immuni.2025.08.015

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