Portfolio
Using active-graph machine learning (ML) combined with single-cell analysis to advance therapeutic candidates for diseases with no or few good medicines.
Unlocking the potential of microfluidics and machine learning to discover modulators of biomolecular condensates in human disease.
Rebuilding the clinical research ecosystem by creating a platform that enables equitable access to trials for all patients, while enhancing trial efficiency.
Changing the way complex medicines are made and distributed through technology innovation.
Improving healthcare for minority patients through technology-based patient engagement solutions.
Using AI to rapidly accelerate drug discovery and development for rare genetic diseases.