Tracking cardiovascular structure between yearly scans.
Tracking cardiovascular structure between yearly scans.
SKA Labs tracks structural cardiovascular change between imaging visits on devices patients already wear.
Cardiovascular disease progresses after discharge and between visits.
Clinicians can't see it happening.
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Today, tracking structural heart and vascular conditions means selective and episodic imaging every six to twelve months.
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In the days and months between, decompensation and progression can go unobserved.
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By the time the next appointment happens, the window for the best intervention may already have passed.
Timely monitoring is a life-and-death issue. This is where we work.
OUR APPROACH
Continuous insight from signals patients already generate.
SKA Labs builds the software intelligence layer that extracts clinically meaningful signals from widely available wearables.
A proven model, applied to an unsolved problem with existing precedents and reimbursement pathways.
Technical Stack
We model hemodynamic, optical, microfluidic, and dynamical systems to support sensing, simulation, and uncertainty-aware decision-making.
We develop pipelines and frameworks for wearable AI, monitoring, biosensor design, synthetic data, validation, and algorithm development.
We design medical computer vision and multi-modal AI with robust data acquisition and optimization pipelines for safety-critical applications.
OUR TEAM
Built by people who've shipped hard technology in medicine and in research.
CEO & PI
Kiran Bhattacharyya, PhD
Ex-NASA | Ex-Intuitive Surgical
Founding scientist. Leads inference and prognosis architecture.
HEAD OF STRATEGY
Sara Milkes Espinosa, PhD
Ex-Meta | Georgia Tech
Product Strategy, Research & Human-Systems Design.
CLINICAL ADVISOR
Alfred Song, MD, PhD
Visiting Scholar | Stanford University | Deito LLC
Clinical workflow and surgical context.
UNIVERSITY COLLABORATOR
John A. Viator, PhD
Department Chair, Biomedical Engineering, Duquesne University
Sensor Design & Benchtop validation.
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