Valar Labs
Using AI models trained on digital pathology images to help oncologists make smarter cancer treatment decisions
Stroke patients with large-vessel occlusion (LVO) should be transported immediately to comprehensive stroke centers with the technology and expertise to remove clots rather than conventional emergency departments. But EMS teams have no way to distinguish between LVO and small-vessel occlusion, which is part of the reason stroke is the fifth-leading cause of death in the United States. MindRhythm builds a novel, noninvasive head sensor that measures tiny changes in pulse readings, so emergency responders can rapidly recognize LVO strokes.
Using AI models trained on digital pathology images to help oncologists make smarter cancer treatment decisions
Creating a software co-pilot for drug development and a new marketplace for investors and outsourced R&D and manufacturing
Using self-supervised machine learning to map the circuit diagram of tumor biology and develop new immunotherapies for cancer
Vascular intervention without borders