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.
The current standard is intermittent care after discharge.
Today, tracking structural heart and vascular conditions means selective and episodic imaging every six to twelve months.
The need is continuous.
In the days and months between, decompensation and progression can go unobserved.
The gap is where risk accumulates.
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.
Contact the TeamContinuous insight from signals patients already generate.
SKA Labs builds the software intelligence layer that extracts clinically meaningful signals from widely available wearable and consumer devices.
A proven model, applied to an unsolved problem with existing precedents and reimbursement pathways.
Physics-Informed Modeling
We model hemodynamic, optical, microfluidic, and dynamical systems to support sensing, simulation, and uncertainty-aware decision making.
Wearable AI and Digital Twins
We develop pipelines and frameworks for wearable AI, monitoring, biosensor design, synthetic data, validation, and algorithm development.
Multi-Modal and Vision AI
We design medical computer vision and multi-modal AI with robust data acquisition and optimization pipelines for safety-critical applications.
Built by people who've shipped hard technology in medicine and in research.
Kiran Bhattacharyya, PhD
Ex-NASA | Ex-Intuitive SurgicalFounding scientist. Leads inference and prognosis architecture.
Sara Milkes Espinosa, PhD
Ex-Meta | Georgia TechProduct strategy, research & human-systems design.
Alfred Song, MD, PhD
Visiting Scholar | Stanford University | Deito LLCClinical workflow and surgical context.
John A. Viator, PhD
Department Chair, Biomedical Engineering, Duquesne UniversitySensor design & benchtop validation.
Building something here.
If it's relevant to your work,
let's talk
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