Medial EarlySign, a leader of machine-learning based solutions to improve patient management and non-communicable disease management, today announced completion of a $30 million Series B round of financing, bringing the company’s total funding to $50 million.
Led by aMoon Fund, Marius Nacht’s (Check Point Software Technologies Ltd. Co-founder) investment arm in the life science sector, the deal also included participation by Horizons Ventures, and Nir Kalkstein, founder of high-speed trading firm Final and co-founder of Medial EarlySign.
The funding highlights Medial EarlySign’s position as a leading healthcare AI company that can leverage existing blood test results and Electronic Health Record (EHR) data to provide precise insights to HCOs as they determine the best approach to improving patients’ health.
“There is an incredible volume of meaningful routine healthcare data. Yet, while these data are electronically stored and available, they are still underutilized, and providers can glean much more actionable intelligence from it,” said Ori Geva, Co-founder and CEO of Medial EarlySign. “This is where Medial EarlySign comes in. Our unparalleled expertise in these data and predictive health technology allows us to provide valuable insights and create improved actionable opportunities for early intervention, improved decision making, more effective care management, and physician and patient empowerment. This funding will allow us to further broaden our suite of solutions, and expand clinical research and global implementations of our clinically-supported technology. The insights we enable could bring added value to almost every interaction with the patient, with the potential to positively impact millions of lives.”
Medial EarlySign’s machine-learning based models analyse dozens of factors residing in EHRs, including laboratory tests results, demographics, medication and diagnostic codes, to predict individuals at high risk of developing specific illnesses and to optimize care. The company is developing a suite of predictive models and algorithmic calculators to help healthcare organizations accurately stratify individuals, provide personalized insights to enhance decision making and create actionable opportunities for early intervention to delay – or even prevent – progression of illness, improving patient outcomes while reducing overall costs.
“All major players in the healthcare ecosystem, including payers, providers and large employers, are realizing the impact big data and focused analytics can have on their bottom lines, as well as on the well-being of their patients,” said Dr. Yair C. Schindel, Managing Partner at aMoon. “Medial EarlySign is the perfect algorithm powerhouse to deliver that type of impact and save not only tremendous amounts of money, but also lives. We feel fortunate to be partnering with the world class team at Medial and look forward to contributing to the company’s success.”
Medial EarlySign is in ongoing clinical data studies with more than 20 million patients in 14 leading institutions around the world. The company’s platform is already in clinical practice, and has been supported by peer-reviewed research published by internationally recognized health organizations and hospitals, including Kaiser Permanente, Oxford University, Maccabi Healthcare Services and others.
