7 AI Healthcare Startups Automating Clinical Trials
Summary
While Insilico Medicine has gained some fame and fortune (more than 70 published and peer-reviewed papers, along with $52 million in funding) for its work in biomarker and small molecule identification, the company also believes its AI-powered platform can accelerate clinical trial outcomes. TriNetX itself reportedly uses its software to collect and analyze patient health records to identify ideal candidates for clinical trials, and the latest cash infusion will help expand its analytics platform in the areas of AI and machine learning. Owkin’s flagship platform, Socrates, uses machine learning to integrate biomedical images, genomics, and clinical data, among other sources, to discover biomarkers and mechanisms associated with diseases and treatment outcomes. VeriSIM is developing AI-powered biosimulation models that can quickly predict how a drug will interact with an animal’s biological system, VentureBeat reported, which means pharma companies could accelerate the pre-clinical phase and move on to the human clinical trials. Austin, Texas-based Litmus Health is doing what an increasing number of AI healthcare startups are doing: taking data from wearables, sensors, and other smart devices and turning them into medically relevant insights.
