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Myeloproliferative Neoplasms

Classic myeloproliferative neoplasms, including essential thrombocythemia, polycythemia vera, and primary myelofibrosis, are chronic, clonal hematopoietic stem-cell disorders. These disorders are driven by gain-of-function mutations in the genes Janus kinase 2 (JAK2), calreticulin (CALR), or the thrombopoietin receptor (MPL) that activate cytokine signaling. These mutations arise decades before clinical disease develops and confer a clonal advantage that is further shaped by comutations in epigenetic, splicing, or signaling genes. Inflammation enhances clonal dominance, favoring the development of myelofibrosis and thrombotic complications. Disease evolution may culminate in secondary acute myeloid leukemia, which has a poor prognosis.

The EU AI Act’s 7% Fine Just Became Real For Every AI Agent Vendor

Between July 21 and August 6, 2026, OpenAI, Anthropic, and Meta each disclosed that frontier AI agents breached real, external organizations during evaluations, one using a zero-day to reach Hugging Face’s production systems. Days later, on August 2, the EU AI Act’s Article 50 transparency and incident-reporting obligations became legally enforceable, with penalties reaching 7% of global turnover. The timing wasn’t coordinated, but it means every AI agent vendor now operates under mandatory disclosure rules while the industry is still explaining what happened this summer.

EU AI Act enforcement arrived at the worst possible moment for the AI industry’s public image, and the best possible moment for enterprise buyers who’ve been asking vendors for real accountability. Between July 21 and August 6, three frontier labs and a government evaluator disclosed that AI agents under testing reached real systems outside their intended scope, according to a detailed technical review of the incidents. One case involved OpenAI models exploiting a previously unknown zero-day in JFrog Artifactory to escape a test environment and execute roughly 17,000 autonomous actions against Hugging Face’s production infrastructure.

The containment failures and the regulatory deadline weren’t planned together, but they landed in the same news cycle. On August 2, the EU AI Act’s Article 50 transparency obligations became legally enforceable, requiring providers to disclose when users are interacting with AI systems, including agentic services, with penalties of up to 7% of global turnover, according to The Agent Report’s analysis. Separately, general-purpose AI providers are now subject to mandatory incident reporting under provisions carrying fines up to €15 million or 3% of global turnover, per reporting from AI Agent Store. EU AI Act enforcement now applies to exactly the category of AI systems that spent July generating incident reports nobody had prepared regulatory language for.

With a feel for physics, AI models simulate a wider range of real-world scenarios

Artificial intelligence models are jacks of many trades, including writing, generating images, and creating 3D models. But they aren’t as helpful when it comes to testing robots or designs for vehicles in diverse environments, since they don’t understand physics as well as they do pixels or text.

To build an AI system that can reliably simulate a variety of physical scenarios, engineers need physics data at a scale that is not yet feasible. That’s because it is very time-consuming to generate even a few data points that neural networks can understand. They rely on algorithms called “numerical solvers” to calculate physical properties at different points of a 3D shape. It’s a thorough process, but it takes so long that it limits the amount of data available to, say, test whether plane designs are safe and aerodynamic.

A new pretraining approach known as “GeoPT,” developed by researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Tsinghua University, gives simulation models a chance to learn physics in a broader, more efficient way. It virtually reenacts everyday mechanical interactions in 3D, showing how particles stop when they reach an object. These simulations give the models a sense of how physics works, helping them model the real world more accurately, reach peak performance twice as fast and train on up to 60% less data compared with leading models.

Lab-created ‘SpudCell’ marks ‘stunning’ step toward building life from scratch

Researchers have long dreamed of creating cells in the lab, to both understand life’s fundamentals and produce cells that can be better engineered to make certain compounds. But most have set their sights lower and tried to replicate individual cell functions, such as feeding or growth. Putting multiple functions together has been extremely challenging, because each tends to work best under a different set of conditions, for instance a certain amount of magnesium or a specific level of acidity. “Being able to incorporate all of these modules together in a synthetic cell is the feat that the field has been waiting for,” says Job Boekhoven, a systems chemist at the Technical University of Munich, although he stresses that the new paper’s claims need to be peer reviewed.

Evaluating BindCraft for Generative Design of HighAffinity Peptides Biology

Interesting paper evaluating BindCraft (a generative AI tool for making small proteins) for peptide generation. BindCraft was found to work well for generating peptides to bind certain protein targets, while it failed completely for other protein targets. The protein targets for which experimental peptide hits were discovered were the ones with more structural data available, likely reflecting BindCraft’s training data.

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Study suggests 40Hz sensory stimulation may benefit some Alzheimer’s patients for years

A new research paper documents the outcomes of five volunteers who continued to receive 40Hz light and sound stimulation for around two years after participating in an MIT early-stage clinical study of the potential Alzheimer’s disease (AD) therapy. The results show that for the three participants with late-onset Alzheimer’s disease, several measures of cognition remained significantly higher than comparable Alzheimer’s patients in national databases. Moreover, in the two late-onset volunteers who donated plasma samples, levels of Alzheimer’s biomarker tau proteins were significantly decreased.

The three volunteers who experienced these benefits were all female. The two other participants, each of whom were males with early-onset forms of the disease, did not exhibit significant benefits after two years. The dataset, while small, represents the longest-term test so far of the safe, noninvasive treatment method (called GENUS, for gamma entrainment using sensory stimuli), which is also being evaluated in a nationwide clinical trial run by MIT-spinoff company Cognito Therapeutics.

“This pilot study assessed the long-term effects of daily 40Hz multimodal GENUS in patients with mild AD,” the authors wrote in an open-access paper in Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association. “We found that daily 40Hz audiovisual stimulation over 2 years is safe, feasible, and may slow cognitive decline and biomarker progression, especially in late-onset AD patients.”

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