Valar Labs
Using AI models trained on digital pathology images to help oncologists make smarter cancer treatment decisions
In fields such as radiology, the days of film and paper printouts are long gone; today’s doctors go digital when they need to share, analyze, and annotate imaging studies and other patient data. But that can be tricky in emerging markets where some hospitals and diagnostic centers lack reliable electricity or internet access. AlemHealth builds battery-powered, 4G-equipped hardware that can store radiology images and transmit them wirelessly to a cloud storage system accessible anywhere. It also makes software for viewing, annotating, and sharing images and other patient data, bringing teleradiology, telecardiology, and other services to patients in low- and middle-income countries.
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