Google Health
Develops research, cloud infrastructure, AI models, and open-source tools to enable healthcare applications across medical imaging, genomics, wearables, public health, and data interoperability. Work includes multimodal and biomedical language models, developer tooling and standards-based APIs, clinical partnerships for validation, privacy-preserving data methods, and research on fairness, explainability, and model evaluation.
Industries
N/A
Nr. of Employees
small (1-50)
Products
Search and consumer health information features
Search features and visual search capabilities that surface authoritative health information, query summarization and image-based symptom exploration for consumers.
Video platform health content features
Curation and product features on a video platform to highlight expert health content, first-aid resources and crisis resource panels for health communicators and consumers.
Wearable device analytics and safety features
Analytics and companion-app features for continuous sensor-based monitoring, providing sleep, activity and safety alerts derived from device sensors.
Medical imaging AI toolsets and managed services
Tools and managed services to support medical imaging model development, interoperability for imaging data, deployment pipelines and integration with enterprise systems.
Biomedical and multimodal model releases with technical reports
Public releases of medical and multimodal models, associated technical reports and example notebooks to support community use, reproducible research and clinical prototyping.
Search and consumer health information features
Search features and visual search capabilities that surface authoritative health information, query summarization and image-based symptom exploration for consumers.
Video platform health content features
Curation and product features on a video platform to highlight expert health content, first-aid resources and crisis resource panels for health communicators and consumers.
Wearable device analytics and safety features
Analytics and companion-app features for continuous sensor-based monitoring, providing sleep, activity and safety alerts derived from device sensors.
Medical imaging AI toolsets and managed services
Tools and managed services to support medical imaging model development, interoperability for imaging data, deployment pipelines and integration with enterprise systems.
Biomedical and multimodal model releases with technical reports
Public releases of medical and multimodal models, associated technical reports and example notebooks to support community use, reproducible research and clinical prototyping.
Services
APIs and platform components to manage and share health and fitness data using standards such as FHIR; enables apps to read/write medical records and manage data permissions.
Cloud infrastructure, managed services and medically-tuned AI products to support secure storage, analytics, search and model deployment for healthcare organizations.
Pipelines and software for accurate small-variant and cohort-level variant calling, haplotype-aware workflows and support for long-read sequencing analyses.
Model releases, notebooks and evaluation protocols for wearable-sensor representation learning and downstream clinical and wellness analytics.
Published benchmarks, technical reports and evaluation frameworks to assess language and vision models for health, including tools for fairness and robustness assessment.
APIs and platform components to manage and share health and fitness data using standards such as FHIR; enables apps to read/write medical records and manage data permissions.
Cloud infrastructure, managed services and medically-tuned AI products to support secure storage, analytics, search and model deployment for healthcare organizations.
Pipelines and software for accurate small-variant and cohort-level variant calling, haplotype-aware workflows and support for long-read sequencing analyses.
Model releases, notebooks and evaluation protocols for wearable-sensor representation learning and downstream clinical and wellness analytics.
Published benchmarks, technical reports and evaluation frameworks to assess language and vision models for health, including tools for fairness and robustness assessment.
Expertise Areas
- Multimodal and biomedical large language models
- Medical imaging AI and clinical deployment
- Genomics (variant calling, pangenomes, long-read workflows)
- Wearable sensor representation learning and longitudinal analytics
Key Technologies
- Multimodal large language models
- Vision-language models for medical images
- Foundation models for wearable time-series
- Deep learning variant callers for short- and long-read sequencing
News & Updates
Report summarizing work and impact across Google for Health including AI research, partnerships and platform deployments.
Announcement and technical report release describing open-model releases intended to accelerate health AI development.
Discussion of benchmarks and evaluation strategies for applying large language models to global health use cases.
Blog post discussing AI advances and applications in cancer research and care.
Summary of announcements relevant to AI and developer tooling that include health‑relevant capabilities.
Blog post describing a foundation-model approach and preprints for learning representations from wearable sensor time-series.
Report summarizing work and impact across Google for Health including AI research, partnerships and platform deployments.
Announcement and technical report release describing open-model releases intended to accelerate health AI development.
Discussion of benchmarks and evaluation strategies for applying large language models to global health use cases.
Blog post discussing AI advances and applications in cancer research and care.
Summary of announcements relevant to AI and developer tooling that include health‑relevant capabilities.
Blog post describing a foundation-model approach and preprints for learning representations from wearable sensor time-series.