AI-powered blood tests to detect and monitor liver disease (MASLD/NASH) with greater speed and accuracy than traditional methods — enabling earlier intervention before irreversible damage occurs.
AI-driven electrocardiogram analysis that rapidly and accurately detects cardiac conditions, enabling earlier intervention and better patient outcomes at the point of care.
AI-powered computer vision to contactlessly monitor vital signs and detect patient deterioration — no wires, no cuffs, no electrodes. Founded by the chief of anesthesiology at the San Francisco VA.
AI-powered cardiovascular copilot using physiological modeling and data science to predict and prevent hemodynamic instability in surgical and critical care — enabling clinicians to intervene before complications occur.
AI-enabled robotic system giving physicians real-time, teleoperated access inside the MRI scanner during cancer biopsies and ablations — enabling sub-millimeter targeting of tumors three times smaller than current methods can reach.
Spatial biology platform that predicts which oncology drug candidates will work in patients — giving pharma teams the data to kill failing compounds early and double down on the ones that matter.
AI that predicts brain aneurysm rupture risk from the scans hospitals already take, turning a binary watch-or-operate decision into a quantified risk score that helps clinicians and patients choose the right path.
An EHR-integrated marketplace that connects researchers to patient biospecimens and the clinical data behind them — cutting months from the specimen-sourcing process that bottlenecks translational research.
Simulates real patient behavior so healthcare teams can test formulary decisions, benefit designs, and market-access strategies before launch — replacing months of guesswork with data-driven scenario planning.
Whole-body symptom tracking built for women, combining daily logs with AI pattern recognition so patients arrive at the doctor with structured, longitudinal evidence instead of scattered anecdotes.
Connects bedside medical devices to a single real-time data platform, giving clinical AI models and care teams the unified patient signal they need to act at the point of care.
Deterministic matching engine that connects patients to the approved treatments and clinical trials they actually qualify for — closing the gap between what’s available and what patients are told about.
AI software that turns any standard 2D ultrasound machine into a 3D stroke-risk screening tool in minutes — bringing a carotid exam that today requires a specialist into the hands of any trained sonographer.