Radically different
Nature Neuroscience, Published online: 12 May 2026; doi:10.1038/s41593-026-02292-2
La Greca and colleagues show that by witnessing a conspecific’s actions, mice learn how actions can lead to shared food, forming flexible social action–outcome associations that require dorsal CA1 and bias future prosocial or selfish behaviors.
Capsida Biotherapeutics said Tuesday that it still had no answers in its investigation into the death of a child in a gene therapy trial last September.
Its scientists’ efforts, it said, have been stymied because the hospital where the study was conducted has declined to share tissue samples from an autopsy.
The therapy, known as CAP-002, was the first of a wave of new gene therapies designed to deliver genes deep into the brain. Scientists around the world engineered viruses that could slide through the blood-brain barrier that walls off our most vital organ from the rest of the body. Companies spun up promising treatments for devastating rare genetic diseases and common conditions like Alzheimer’s and Parkinson’s.
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Five years ago, the bottom fell out of sepsis prediction software. Hundreds of hospitals had adopted an algorithm from electronic health record company Epic that promised to alert physicians to predicted cases of sepsis, a life-threatening reaction to infection that kills more than 350,000 people in the United States every year.
The AI was a technical flop. Despite its results on paper, the technology failed to perform in the real world, and sent so many alerts that doctors tuned them out or hospitals turned them off.
Half a decade on, new sepsis models are hitting the scene. Epic released a retooled version of its own algorithm. Startups are testing their models in health systems. A team uses large language models to mine clinical notes for signs of sepsis. And on Tuesday, a sepsis flagging device from Bayesian Health, with origins at Johns Hopkins, announced it has received clearance from the Food and Drug Administration.