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Deep learning reads EHRs to predict antidepressant treatment response
Transformer models outperform traditional methods in predicting antidepressant response from electronic health records, advancing precision psychiatry.
Anthropic launches Claude Science as flagship AI for drug development
Anthropic has launched Claude Science, positioning it as a flagship product alongside Claude Code and Claude Cowork for scientific research,…
Neuro-symbolic AI forges a new path to safer clinical algorithms
A new paradigm combines deep learning with symbolic reasoning to make medical AI safer, more transparent and clinically trustworthy.
Google’s TabFM Makes Accurate Predictions Without Fine-Tuning Per Dataset
Google's TabFM is a foundation model for tabular data that makes accurate predictions on entirely new datasets without per-dataset fine-tuning,…
AI Scribe Adoption in Healthcare, From Ambient Listening to Autonomous Documentation
AI-powered clinical scribes are one of the fastest-adopted healthcare AI technologies, but their evolution will follow one of four distinct…
Understanding Cognitive Offloading in Modern Medicine
As AI systems take on more clinical tasks, the phenomenon of cognitive offloading raises concerns about whether physicians are retaining…
How Machine Learning Is Reshaping Pharmaceutical R&D
AI is reshaping pharmaceutical R&D from target identification through clinical trial optimization, compressing drug discovery timelines and unlocking therapeutic targets…
ARPA-H Awards $160 Million for AI-Enabled Personalized Gene Editing to Tackle Rare Diseases
ARPA-H has awarded up to $160 million to seven research teams to build AI-driven platforms for creating custom, individualized gene…