Health IT funding set a record in 2017 with AI and predictive analytics as top tech funded, with patient engagement, telehealth and clinical decision support close behind.
Digital health firm HealthTap and Bupa, a health care provider that offers both insurance and medical services to millions around the world, are teaming up in a massive strategic partnership that could make “digital end-to-end” medical services a widespread reality, HealthTap CEO Ron Gutman stated in an early interview previewing the arrangement.
Adapsyn Bioscience Inc., a biotechnology company focused on the discovery and development of novel medicines derived from evolved small molecule natural products, announced that it has completed a round of financing that was co-funded by Pfizer R&D Innovate and Genesys Capital. In addition, the company has announced a research collaboration with Pfizer Inc.
The fear that machines will replace humans in the workplace is not a new one. In 1930, economist John Maynard Keynes conjectured that in the years to come, modern economies would face a new kind of affliction: what Keynes called “technological unemployment.”
Johnson & Johnson (J&J) has signed 15 new partnerships to explore, develop and advance new medical devices, therapeutics and consumer health solutions.
The health system has developed AI-based algorithms used on its more than 27 petabytes of data to define patient subpopulations — those with congestive heart failure or asthma, for instance — to target interventions to those groups. It’s developed algorithms using electronic health record data to predict patient decline in hospitals.
It’s been a big year in healthcare technology. Healthcare Analytics News™ reached out to experts across our 8 coverage areas to determine which companies, people, and projects made the biggest waves. The winners of 2017 ushered in advances that have turned heads, resulted in measurable improvements, and given reason to believe that this high-speed sector is not built on hype alone.
Virtual Incision’s RASD weighs just two pounds and is designed to perform the procedure through a smaller incision, potentially reducing recovery time and mitigating the risk of surgical complications.
The idea of personalised seizure prediction for epilepsy is closer to becoming a reality thanks to new research published today by the University of Melbourne and IBM Research-Australia.
Atrial Fibrillation (AFib), is the most common heart arrhythmia, and a leading cause of stroke. AFib affects more than 30 million people worldwide, and one in four people over the age of 40 are at risk for developing it. Millions of people around the world are unknowingly living with AFib. Yet, two out of three strokes are preventable when AFib is detected and treated appropriately.
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