Valar Labs
Using AI models trained on digital pathology images to help oncologists make smarter cancer treatment decisions
Magnetic resonance imaging (MRI) is a familiar technology that reveals structure in the brain or other parts of the body by mapping the location of water molecules and fat. Its lesser-known cousin, magnetic resonance spectroscopy (MRS), uses the same non-invasive methods — magnetic fields and radio waves — to scan small regions for the concentrations of chemical metabolites, including those known to be elevated in cancer and neurodegenerative diseases. BrainSpec is building a cloud-based system for sharing, viewing, and managing MRS data, giving more doctors access to “virtual biopsy” results.
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