9. Insitro
Founded: 2018
Location: San Francisco, California
How it uses machine learning in healthcare: Insitro combines machine learning and computational biology to make drug development more efficient and cost-effective. After building predictive models from massive biological data sets, the company applies machine learning to sift through this data and reveal crucial trends, such as new disease subtypes. Health professionals at Insitro can then adjust drugs and medicines to better protect patients from evolving diseases.
10. BioSymetrics
Founded: 2015
Location: Boston, Massachusetts
How it uses machine learning in healthcare: Via its machine learning platform and contingent AI, BioSymetrics helps organizations analyze large amounts of raw data to streamline the development of precision medicine. The company has access to millions of electronic health records and human-relevant disease models, allowing its platform Elion to deliver more comprehensive insights on how to improve medicines.