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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…
Linux Foundation opens health stack with AI commons backed by Google and Microsoft
The Linux Foundation has launched the Open Health Stack with an AI Commons framework for safe, verifiable healthcare AI, backed…
Michigan Medicine neuroimaging model outperforms GPT in brain scan analysis
Michigan Medicine researchers have introduced NeuroVFM, a visual foundation model trained on 5.24 million clinical brain scans that outperforms GPT-5…
How AI Can Cut Physician Advisor Paperwork Without Replacing Clinical Judgment
Physician advisors can use AI to automate documentation extraction and criteria cross-referencing while preserving the clinical judgment that defines their…