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Removing immune ‘brake’ improves CAR T-cell therapy for pediatric bone cancer

Scientists at St. Jude Children’s Research Hospital have discovered that removing the gene for Regnase-1 from engineered immune cells makes them more effective at treating relapsed osteosarcoma. There is a great clinical need for new therapies for childhood osteosarcoma, for which there are very few effective treatments for relapsed disease. The approach improved the cells’ ability to control osteosarcoma growth and prevent metastasis to the lungs in preclinical models. The findings support the development of an early-phase clinical trial and were published today in Cell Reports Medicine.

Chimeric antigen receptor (CAR) T-cell therapy reprograms a patient’s own immune cells to recognize and attack cancer. The treatment has shown success in some relapsed childhood leukemias, but it has not worked as well against solid tumors, including osteosarcoma. One major reason is that the tumor microenvironment, the local area around the tumor, can suppress anticancer immune activity and cause CAR T cells to become less functional.

To overcome these barriers, the St. Jude group removed the gene for Regnase-1 (which normally acts as a “brake” on immune function) from CAR T cells, then tested the modified cells in mouse models of osteosarcoma.

Infrasound exposure is linked to aversive responding, negative appraisal, and elevated salivary cortisol in humans

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Infrasound describes sound wave frequencies below 20 Hz, which are typically imperceptible to humans. Some animals perceive and demonstrate aversion to infrasound, raising concerns about its potential adverse effects as an anthropogenic pollutant. Recent research suggests humans may also respond to infrasound, despite being below the conventional limit of human hearing. This study explored the non-auditory impact of infrasound on human mood and stress responding.

SpaceX plans expansion near Brownsville port through 444-acre acquisition

HARLINGEN, Texas (ValleyCentral) — SpaceX is one step closer to expanding operations near the Port of Brownsville after the Brownsville City Commission approved a first reading of an ordinance disannexing hundreds of acres of land in Cameron County.

SpaceX representatives have told the city of Brownsville that the land will not be used for rocket launches or testing.

“I think they want to have some proximity to the port,” said Brownsville City Manager Alan Guard. “It’s also going to be next to a property that’s being developed by Lindy Corporation, which produces gases that SpaceX use. So, there may be some collaboration with one of their suppliers. But that’s what we know.”

AI Safety Index Grades 9 Labsnot One Scored Above A C+

The grades themselves are not the sharpest part of this AI safety index. Reviewers flagged that Anthropic, OpenAI, Google DeepMind, and Meta, the four highest-scoring labs, have all weakened or quietly dropped earlier public pledges to pause development if their systems approached defined risk thresholds, a shift the panel described as moving the goalposts, according to TechTimes’ reporting. Existential safety was the weakest domain across every single lab graded, with no company scoring above C-and Anthropic’s D+ representing the best result in that category industry-wide. See our analysis where we explain why the EU AI Act’s enforcement teeth arrived right as containment failures piled up this summer.

Enterprise buyers and policy teams should treat published safety frameworks as marketing.— AI Weekly, analysis of the Summer 2026 AI Safety Index

⚠ Fiction — illustrative scenario: A procurement team shortlists two AI vendors for a sensitive workload, checking that both publish a safety framework and treating the existence of one as sufficient diligence. A closer read of the published pause-pledge language reveals it now contains a competitor-contingent clause, meaning the commitment only holds if rivals make the same promise. The framework exists. What it actually guarantees turned out to be much thinner than the procurement checklist assumed.

JWST spots a bizarre “black hole star” 100 billion times brighter than a star

Astronomers may have uncovered an entirely new cosmic object: a gigantic “black hole star” that could explain the mysterious red dots filling the early universe. Astronomers from MIT and other institutions have identified an exceptionally bright red object dating back to the early universe. At first glance, it resembles an enormous star with dimensions comparable to our solar system. Its energy output, however, is extraordinary. The object is producing roughly 100 billion times more energy than any known star could physically generate, putting its power much closer to the levels associated with black holes.

That unusual combination has led researchers to propose that the red object represents an entirely new kind of astrophysical source. They are calling it a “black hole star.”

A study published on August 12 in Nature describes the object and the team’s analysis of observations made with NASA’s James Webb Space Telescope (JWST). The telescope detected the bright red dot in the very early universe, only a few hundred million years after the Big Bang.

AI agents struggle to perform original scientific research

Among the many predictions about the future of artificial intelligence is that models will one day be able to conduct scientific research on their own, leaving humans out of the equation. Already, they can write code, run experiments and search scientific literature, but carrying out open-ended research would require a significant leap in ability.

In a paper posted on the arXiv preprint server, researchers tested AI’s ability to conduct open-ended research and found that it came up short.

Putting AI to the test The study authors gave frontier agents (cutting-edge, state-of-the-art AI tools designed to carry out complex, multistep tasks autonomously) six days to conduct research and write papers based on two then-unpublished AI conference submissions. This ensured they couldn’t just find the answers online.

EXCLUSIVE: The AI founders who walked away from Bezosbacked Prometheus to model the universe

A research duo, once pitched to lead the Jeff Bezos-backed Project Prometheus, unveiled what they’ve built on their own: an AI model that can take in and produce information so vast that a lone computer might not handle it.

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