Researchers used machine learning to identify subgroups of children with autism who responded to bumetanide in two failed phase 3 clinical trials, finding that up to 40% of participants showed signifi…
The rush to study generative AI is creating a feedback loop of topical and methodological convergence in social and behavioral sciences, flattening scientific imagination and crowding out pluralism. E…
A survey of US health-care workers found 70% of nurses and 77% of physicians fear losing skills due to AI over-reliance. A study of Polish endoscopists showed adenoma detection rates dropped from 28.4…
Researchers used deep learning to screen 19.3 million fragments from 2,897 prion-related proteins, identifying 1,179 candidate antimicrobial peptides called prionins. Of 75 synthesized prionins, 59 in…
Researchers developed MIRA, an autonomous AI agent that operates within a sandboxed electronic health record environment, outperforming physicians in diagnostic accuracy and making guideline-concordan…
Google's AMIE, an LLM-based agentic system, outperformed primary care physicians in management reasoning and medication prescription in a randomized blinded study of 100 multi-visit clinical scenarios…
General-purpose large language models (LLMs) including GPT-5.2, Gemini 3.1 Pro, and Claude Opus 4.6 outperformed specialized clinical AI tools OpenEvidence and UpToDate Expert AI across three evaluati…
An artificial intelligence system has solved an 80-year-old mathematics problem, stunning researchers. The AI, developed by a team at a leading research institution, cracked the longstanding challenge…
Artificial intelligence and GPS tracking are revealing the secret lives of animals, from hummingbirds to pumas, showing their sophisticated behaviors and sense of place. These technologies are aiding …
General-purpose large language models GPT-5.2, Gemini 3.1 Pro, and Claude Opus 4.6 outperformed specialized clinical AI tools OpenEvidence and UpToDate Expert AI on medical knowledge tests, expert ali…
Researchers have developed a new global dataset of annual migration flows across 230 countries from 1990 to the present, using deep learning to integrate diverse data sources. The model, which outperf…
A new study published in Nature reveals that large language models can transmit behavioral traits like animal preferences or misalignment to other models through semantically unrelated training data, …
The California two-spot octopus genome reveals no evidence of whole-genome duplications, but shows massive expansions in protocadherins and zinc-finger transcription factor gene families previously th…
The Cochrane Collaboration's editor-in-chief warns that current AI tools are not ready to replace humans in conducting systematic reviews of scientific literature, citing risks of errors that could mi…
Researchers developed and validated a digital biomarker for peripheral artery disease (PAD) using photoplethysmography (PPG) signals, analyzing 5,237 legs from 2,362 patients. The machine learning mod…
Cognitive scientist Félix Schoeller and Joshua White developed an AI chatbot named Lucy to train facilitators for psychedelic-assisted therapy, addressing a global shortage of specialized mental-healt…
Researchers identified a neural population in the ventral premotor cortex of macaque monkeys that encodes "action symbols," which are discrete, recombinable representations of motor behavior. The stud…
A lightweight (0.96 kg) portable robot was developed to provide isokinetic resistance training for juveniles with Spinal Muscular Atrophy (SMA) type II, integrating a variable stiffness mechanism for …
Researchers developed a national inventory of 319,972 solar photovoltaic facilities and 91,609 wind turbines in China using satellite imagery and deep learning to assess solar-wind complementarity. Th…
Large-scale neural activity in mice, except in the hippocampal area CA1, exhibits dynamics similar to those of a linear system governed by a critically normalized random symmetric matrix. This critica…