We identified 32 companies that are already applying machine learning techniques and predictive analytics to reduce drug discovery times, provide virtual assistance to patients, and diagnose ailments by processing medical images, among other things.
The 32 startups on the list have raised more than $530M in aggregate funding.
This year, New York-based AiCure raised $12.3M in Series A funding and National Science Foundation-grantee Cloud Pharmaceuticals raised a $350K round from undisclosed investors. London-based health services startup, Babylon Health, raised a $25M Series A round from investors including Google-owned DeepMind Technologies and Hoxton Ventures. The company will reportedly roll out a Siri-like voice recognition interface this year.
Smart money investor Khosla Ventures has backed 5 of the companies on the list: California-based Ginger.io, which focuses on patients with depression and anxiety; healthcare analytics platform Lumiata; California-based MetaMind and Israel’s Zebra Medical Vision, both of which apply AI to medical imaging; as well as drug discovery startup Atomwise.
The most well-funded startup on the list, Colorado-based health optimization platform WellTok, has collaborated with IBM’s Watson to provide personalized healthcare guidance to consumers.
Patient-monitoring startup, California-based Sense.ly, developed a virtual nursing assistant, Molly, to follow up with patients post-discharge. The company claims Molly gives clinicians “20% of their day back.” In drug discovery, startups like Atomwise, Numerate, and twoXAR are using machine learning to reduce the amount of time and capital involved in uncovering new therapies.
