Health AI Developer Foundations is a suite of open-weight models publicly available to help developers build and implement AI models for health applications.
The tech giant and its partners will work to make AI-enabled eyesight-saving care more readily available to clinical systems across both countries.
The AI model, HeAR, was created to help improve health outcomes for tuberculosis patients across India by 2030.
Jake Sunshine, research scientist at Google, sat down with MobiHealthNews at the tech giant's Bay View headquarters to discuss creating the first-of-its-kind technology for the Pixel Watch 3.
During its Made by Google event, the tech giant unveiled new machine learning features for the Pixel Watch 3 that collect and analyze a wearer's personalized data to determine fitness training effectiveness, sleep quality and recovery needs.
Tx-LLM was fine-tuned from Google's Med-PaLM 2 and created to analyze a variety of chemical or biological entities to assist with the drug-discovery pipeline.
Med-Gemini-3D can read 3D scans, generate radiology reports and answer questions, while Med-Gemini-Polygenic can predict health outcomes based on genomic data.
The AI-enabled offerings will be built into Pager’s Connected Care platform.
The tech giant announced a new AI-enabled chest X-ray offering, an all-inclusive dermatology dataset, expanded partnerships and personal health LLMs for Fitbit.
The Wearables for Metabolic Health study will use Fitbit behavioral and biometric data and laboratory tests to attain insights into metabolic health and disease prevention.