None of the certification programs consumers rely on to find safer personal care products require laboratory testing of the products they certify, according to a new peer-reviewed analysis. All of them judge chemical safety from ingredient lists and paperwork supplied by manufacturers, an approach that cannot catch contaminants, impurities, or anything else that was never meant to be in the bottle.

Researchers from Wroclaw Medical University found distinct patterns of innate immune activity in schizophrenia spectrum and mood disorders. A meta-analysis of 26 studies showed differences in the expression of Toll-like receptors (TLRs), which play a key role in initiating immune responses. The findings may help scientists better understand biological differences between psychiatric disorders and support future research into precision psychiatry.

Researchers have created one of the most detailed maps to date of how white blood cells called B cells develop and behave inside melanoma tumours, a type of skin cancer.Researchers have created one of the most detailed maps to date of how white blood cells called B cells develop and behave inside melanoma tumours, a type of skin cancer.

Brain cells that produce the protective coating around nerve fibres can become dysfunctional with age and may actively contribute to cognitive decline, according to new research.

Electrochemical energy technologies are central to the net-zero transition, yet their multiscale characteristics ranging from atomic materials to device architectures present critical challenges in research and development (R&D). Although artificial intelligence (AI) has accelerated discovery and design in this field, commonly used predictive AI methods remain limited in enabling disruptive advances. Generative AI has shown transformative potential in disciplines such as biology and medicine, though its impact on electrochemical energy R&D is only beginning to emerge. Here we review recent progress in applying generative AI to molecular and crystal discovery, electrode microstructure design, and system optimization, with particular attention to the role of large language models in electrochemical engineering. We argue for a paradigm shift toward generative electrochemical intelligence (GenE), a physics-informed, multimodal framework that integrates human expertise with automated experimentation. We anticipate that GenE will redefine the R&D paradigm for rapidly deployable electrochemical energy technologies and accelerate their translation into real-world applications.