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The NTSB said the two aircraft experienced a loss of separation – meaning they came closer to each other than the required minimum safe distance – when Southwest Flight 1333 was making its final approach on a flight from Baltimore-Washington International Thurgood Marshall Airport (BWI).

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The NTSB and Southwest did not disclose the number of passengers and crew aboard the airliner. The helicopter appears to have been transporting a patient at the time of the incident, based on how it was identifying itself at the time.

Southwest said in a statement on Sunday it “appreciates the professionalism of our crew in responding to the situation. We are engaged with the National Transportation Safety Board and will support the investigation.”

A representative for the medical transport company did not immediately respond to a request for comment.

Aviation tracking website Flightradar24 said air traffic control audio and flight tracking showed that the Southwest plane was forced to deviate from its course to avoid the Eurocopter helicopter that was passing in front of it in the Cleveland incident. Both aircraft were at 2,075 feet (632 meters) altitude at one point and were as close as 0.56 miles (0.9 km) of separation, the site said.

An air traffic controller asked the medical helicopter to go behind the other flight traffic in the vicinity of the airport but the helicopter pilot responded that it “would be better if we could go above it and in front of it if we can,” and the controller agreed, according to audio posted by Flightradar24.

The Southwest captain said in a report to the Federal Aviation Administration that it was an “extremely close” incident and required immediate action to avoid a collision, according to two people briefed on the matter.

The FAA has faced criticism from U.S. lawmakers and NTSB investigators for failing to act on reports of near-miss incidents before the January 29 collision. The Army Black Hawk helicopter was above the maximum permitted altitude at the time of the crash. Both the helicopter and airliner crashed into the Potomac River.

The NTSB disclosed in March that since 2021 there had been 15,200 loss of air separation incidents near Reagan between commercial airplanes and helicopters, including 85 close-call events.

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Diogo Alpuim Costa/oxyclinic.pt

Diogo Alpuim Costa, Head of the Oncology Department and Medical Day Hospital at Cascais Hospital, Dr. José de Almeida, and Clinical Director at Cascais Hyperbaric Center, shared a post on LinkedIn about a paper he co-authored with colleagues published in Clinical Breast Cancer:

“Honoured to be part of this fantastic Portuguese group led by Dr. Teresa Padrão and Prof. José Luis Passos Coelho, which allowed us to assess the Portuguese landscape using a 21-Gene Recurrence Score Assay to guide adjuvant treatment decisions in over 1000 patients with hormone receptor–positive (HR+), HER2- Early Breast Cancer.

Published in Clinical Breast Cancer.

The key messages of the paper ‘The Use and Impact on Treatment Decision of the 21-Gene Recurrence Score Assay for Patients With HR/HER2– Early Breast Cancer in Portugal: A Nationwide Retrospective Cohort Study’ are:

• The 21-gene Recurrence Score Assay (Oncotype DX) was widely adopted in Portugal and had a substantial impact on adjuvant chemotherapy decisions in hormone receptor-positive, HER2-negative early breast cancer patients, aligning treatment practice with international pivotal trials.
• After the publication of the TAILORx trial, adjuvant chemotherapy use decreased in patients with Recurrence Score (RS) ≤16 and increased in those with RS ≥25, especially among younger patients.
• Progesterone receptor (PR) and Ki-67 were independent predictors of high recurrence scores (RS ≥25), supporting the use of these markers to more selectively apply the 21-gene assay in resource-limited clinical settings.
• The Johns Hopkins Recurrence Score Estimator (JHRE) showed moderate accuracy (53.6%) and low specificity (47.7%) in predicting high-risk scores, suggesting its limited utility for individual decision-making in clinical practice.
• Chemotherapy was appropriately avoided in low-risk groups and escalated in high-risk groups following the influence of real-world pivotal trial results, confirming the clinical value of the assay for individualized patient care in Portugal.
• Recurrence rates were low (2.3% median follow-up 29 months), reflecting careful patient selection for chemotherapy de-escalation using the assay.
• Real-world national data, such as this study, are essential for guiding clinical decision-making, health policy, and the cost-effective use of genomic tests in routine oncology practice.”

Title: The Use and Impact on Treatment Decision of the 21-Gene Recurrence Score Assay for Patients With HR+/HER2− Early Breast Cancer in Portugal: A Nationwide Retrospective Cohort Study

Authors: Teresa Gantes Padrão, Diana Pessoa, Joana Alves Luís, Diogo Alpuim Costa, Mário Fontes e Sousa, Ídilia Pina, Susana Palma de Sousa, Débora Cardoso, Sandra Bento, Joana Simões, Ana Ferreira, Renato Cunha, Diogo Martins-Branco, Tiago Dias Domingues, and José Luís Passos-Coelho

You can read the Full Article in Clinical Breast Cancer.

More posts featuring Diogo Alpuim Costa.

We recently published Top 9 AI and Non-Tech Stocks to Watch Amid Latest Earnings Season. Broadcom Inc (NASDAQ:AVGO) is one of the top AI and non-tech stocks.

Vivek Arya, semiconductor analyst at Bank of America, said in a recent interview with CNBC that the current bull market for AI semiconductor companies could go for a couple of more years or “perhaps even” until 2030.

“The reason is that most infrastructure cycles tend to last for a decade or more. We have seen this with 3G and 4G, and we have the 5G cycle that started. So these cycles can last for a decade or more. And if you look at when ChatGPT started, that was in late 22, so we are just basically in the first three years of what could be a decade-long cycle. Now it’s important to understand why this is happening, and I think why this is happening is that there is this virtuous kind of flywheel that we have where there’s infrastructure spending that is leading to the creation of intelligence, which is being monetized, which is then being fed right back into the deployment of more infrastructure, and I think semiconductors are absolutely in the middle of a lot of those very important building blocks.”

The analyst believes Broadcom Inc (NASDAQ:AVGO) is one of the top AI semiconductor companies positioned well to benefit from this bull cycle.

Polen Focus Growth Strategy stated the following regarding Broadcom Inc. (NASDAQ:AVGO) in its third quarter 2025 investor letter:

“In early August we initiated positions in both NVIDIA and Broadcom Inc. (NASDAQ:AVGO), after having not owned either company over the past 2½ years following the initial wave of enthusiasm around Gen AI. While we have long admired both companies, their highly cyclical business models have made it extremely difficult to forecast future earnings growth with any degree of conviction. Given our approach of seeking durable and persistent earnings growth that compounds over long holding periods, our concern in holding either was that we would be forced to endure a punishing downcycle within our typical holding period – there is very little room that in a concentrated portfolio of 20-30 companies. In fact, pre ChatGPT, NVIDIA had two punishing down cycles over the preceding five years.

Legendary investor Warren Buffett took the helm of the holding company Berkshire Hathaway in 1965, and he has led it to fantastic, market-crushing gains. Through the end of 2024, just a year shy of his retirement, Berkshire Hathaway had gained 5,502,284% in per-share market value versus a 39,054% gain for the S&P 500.

Investors looking to emulate his fantastic success are best off following his advice, or you can easily buy shares of Berkshire Hathaway stock. If you look through the company’s equity portfolio, which is public, you might be surprised to see a few tech stocks.

Buffett is a fan of value stocks and dividend stocks, and he loves consumer goods. In fact, the two artificial intelligence (AI) stocks he does own — Apple (NASDAQ: AAPL) and Amazon (NASDAQ: AMZN) — are both consumer goods giants, and AI can drive further growth for both of them.

Apple is one of a trio of stocks that Buffett said he would never sell. While many people would label it a tech company, Buffett loves the consumer goods aspect of its business. It sells lots of devices to lots of people, and the interconnected system creates an Apple community with loyal users and customers who typically buy all-Apple products — iPhones, laptops, and the like.

The iPhone is its premier product, accounting for about half of total revenue. Users love its design, quality, features, and more. Once converted, they typically don’t look back.

Although fans are known to upgrade to new models, it often takes a few years. Recently, there have been higher sales from customers who upgraded when digital became more important during the pandemic.

Increasing iPhone sales have greater implications than simply adding to the top line. Investors and analysts have been worried about the trajectory of Apple Intelligence, which seems to be behind other AI programs.

But increasing iPhone sales are a clear indication that customers are happy with their devices, that the level of AI is working for them, and that there are other features that may be more important. This is Apple’s edge, and it’s why Buffett loves it.

Amazon is only a small fraction of Buffett’s portfolio, but it packs a mean punch. It’s one of the most important AI companies in the world, and combined with its consumer focus, Amazon still has incredible long-term opportunities.

The AI business runs on Amazon Web Services (AWS), the cloud services segment. The company has developed a large platform offering all kinds of services, including the tools for developers to build their own large language models (LLMs), as well as to engage with an assortment of LLMs through its Bedrock program.

Amazon is investing hundreds of millions of dollars in its AI business, and it’s already paying off: It has a run rate of more than $100 billion, and management thinks it’s just getting started. “Every single area that I can think of in the way we work is likely going to be impacted in some meaningful way by AI,” CEO Andy Jassy has said.

And it’s still in its early stages. The company is developing its own chips and hardware to offer budget options and compete on price, and it has a long-term vision as it sets up its AI business. That means investing in powerful data centers that can support AI capabilities for its AWS clients.

It’s important to note that, as with Apple, Buffett didn’t buy Amazon stock for exposure to AI; he’s not a big fan of the technology. The two investments stand out for many reasons, and one of them is that they offer so much more besides the AI opportunity.

Before you buy stock in Apple, consider this:

The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Apple wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.

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Jennifer Saibil has positions in Apple. The Motley Fool has positions in and recommends Amazon, Apple, and Berkshire Hathaway. The Motley Fool has a disclosure policy.

25% of Warren Buffett’s $315 Billion Portfolio Is Invested in 2 Artificial Intelligence (AI) Stocks was originally published by The Motley Fool

Insider Brief

• China’s first atomic quantum computer, “Hanyuan No. 1,” has entered commercial use with more than 40 million yuan in orders, including sales to a China Mobile subsidiary and Pakistan, according to Hubei Daily.
• The system, developed by the Chinese Academy of Sciences’ Innovation Academy for Precision Measurement Science and Technology with support from Hubei’s “Pioneer” program, uses cold atoms as qubits and operates at room temperature to reduce energy and maintenance costs.
• Hubei Daily reported that the project built a full domestic supply chain through the province’s Optics Valley cluster and is developing a national quantum computing center to expand industrial applications in finance, logistics, and materials research.
• Photo by geralt on Pixabay

China’s first atomic quantum computer has entered commercial use, signaling a milestone in the country’s effort to achieve technological self-reliance in quantum information science. The system, called “Hanyuan No. 1,” has received more than 40 million yuan in orders, including delivery to a subsidiary of China Mobile and an international sale to Pakistan, according to an article on Hubei Daily, computer translated into English.

Chinese media describe Hanyuan No. 1 as an atomic quantum computer — a Chinese term that likely refers to quantum computers built on the manipulation of individual neutral or “cold” atoms trapped and controlled by lasers. Internationally, this technology is known as neutral-atom quantum computing, an approach that offers advantages in scalability and stability without the need for the ultra-low temperatures required by superconducting quantum systems.

Developed by the Innovation Academy for Precision Measurement Science and Technology under the Chinese Academy of Sciences, the project received funding from the Hubei Provincial Department of Science and Technology through a “Pioneer” program that targets key emerging technologies, according to the newspaper, which serves as the official newspaper of the Hubei Provincial Party Committee and covers the region’s science and economic developments.

Teams from Wuhan University, Zhongke Kuyuan Technology, the Optics Valley Information Optoelectronics Innovation Center, the Wuhan Institute of Quantum Technology, and Huazhong University of Science and Technology also contributed.

The launch marks China’s first complete quantum system using cold atoms as qubits.

According to Hubei Daily, the Hanyuan No. 1 contains 100 qubits, the basic computational units of a quantum computer, and reaches a reliability level comparable to international standards. Its entire system reportedly fits within three standard equipment racks and operates at room temperature, dramatically reducing energy use and maintenance requirements compared with superconducting machines. The paper indicated that the system can already handle complex applications in areas such as financial modeling and logistics optimization, which are two fields with use cases that could benefit from quantum computing.

Local Industry, Global Competition

The Hubei Daily specifically mentions that the Hanyuan project leveraged Hubei’s strong optoelectronics manufacturing base — known nationally as Optics Valley — to build a domestic supply chain for these components. The team established a full R&D pipeline, from chip growth and packaging to system testing. Engineers succeeded in producing high-performance lasers that meet the precision control requirements for atomic qubits while consuming only one-tenth the energy of comparable foreign systems.

The domestically produced components helped the team avoid foreign supply chain dependencies and lower costs, reinforcing China’s drive toward technological self-sufficiency in advanced computing, the newspaper reported.

Beyond the hardware, the project also aims to build a full commercial ecosystem around the technology. Researchers from Wuhan University and the Wuhan Institute of Quantum Technology developed a cloud-based computing platform that allows users to design and test quantum algorithms without specialized physics knowledge.

The system integrates visual programming tools, hardware optimization and large-scale simulation capabilities.

Quantum Computing Ecosystem

According to Hubei Daily, more than 50 universities and companies have joined the project to begin exploring quantum applications. The project team is also constructing China’s first neutral-atom quantum computing power center, designed to host clusters of machines that will provide continuous 24-hour computing services. Once operational, the facility will focus on computationally demanding problems such as financial risk analysis and the modeling of industrial systems. The center is expected to serve more than a thousand enterprise clients annually.

The Hubei Daily article suggested that the province’s deep integration of research institutions, manufacturing partners and universities was critical to achieving the project’s goals. The Optics Valley industrial zone provided access to specialized fabrication and testing capabilities, while provincial officials coordinated resources for system integration and commercial deployment. The combination created what officials described as a complete industrial chain, from laboratory research to production and delivery.

Provincial leaders said the achievement is evidence of Hubei’s emerging role as a national center for advanced computing technologies and its growing importance in China’s broader strategy for scientific and industrial modernization.

Chinese researchers view the device as an early step toward scalable quantum computing that can support real-world problem solving.

While the system operates on a smaller scale than machines being developed by global competitors, its stability, room-temperature operation and local component production make it an important proof of concept for China’s neutral-atom approach. The project’s leaders have said future plans include improving system performance and expanding computing clusters to support high-end applications such as materials design and pharmaceutical discovery.

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Opec+ has responded to fears of an oil glut by pausing its plans to increase production next year.

Eight members of the oil producers’ group said they would add another 137,000 barrels a day of crude in December, but then halt any further rises in January, February and March.

The group said the pause was due to “seasonality”. Oil demand in the first quarter is generally weaker after the end of the holiday season when oil refineries often go into maintenance.

The eight Opec+ countries, led by Saudi Arabia and Russia, have steadily increased their production quotas this year, by 2.91mn b/d including next month’s rise, equivalent to about 2.7 per cent of global oil demand. But they have slowed the pace in recent months. 

December’s planned increase follows a small rise in October and November as producers respond to forecasts of an oil glut next year.

Last week, Wael Sawan, Shell’s chief executive, became the latest industry boss to cite the risk, saying “there is a credible scenario of oversupply in the market next year”.

The small increase in December also suggests Opec+ is not anticipating that large volumes of Russian oil will be removed from the market in the near term by the latest round of US sanctions.

At the end of October, the US imposed sanctions on Russia’s two largest oil companies, Rosneft and Lukoil, and secondary sanctions on any financial institutions that do business with them. 

Oil prices, which had fallen to a five-month low of around $60 a barrel ahead of the sanctions, rose to $65 in response.

Energy Aspects, a research company, estimated that between 1.4mn and 2.6mn b/d of Russian crude could be affected by the sanctions, with India’s imports being the worst hit. 

But the market remains sceptical that the sanctions will seriously impede the flow of Russian oil, given the extensive structures that Moscow has built since 2022 to work around attempts to control its exports. 

Jorge León, head of geopolitical analysis at Rystad Energy, a research company, said it remained too early to tell how serious the effect of the sanctions would be.

“Crude export numbers look steady, but that is because that crude was produced a month ago or so. In reality, exports will start showing some signals in three to four weeks,” he said. “But the Russians are very worried.”