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Состоялась встреча Президента Ильхама Алиева с генеральным директором Всемирной организации здравоохранения в формате видеоконференции

AcuSurgical raises €5.75 Million in Series A financing, to advance its robotic ocular microsurgery platform.


Press release content from Business Wire. The AP news staff was not involved in its creation.
AcuSurgical raises €5.75 Million in Series A financing, to advance its robotic ocular microsurgery platform.
February 18, 2021 GMT
MONTPELLIER, France (BUSINESS WIRE) Feb 18, 2021
AcuSurgical, a Montpellier-based company focused on robotic microsurgery, today announces a €5.75 million Series A financing round led by Mérieux Equity Partners (via OMX Europe Venture Fund) and Supernova Invest (via Supernova 2 Fund), with Sofimac Innovation (via Pertinence Invest 2 Fund) and IRDI Capital Investissement (via Irdinov 2 and Inn’Vest PME Occitanie Est Funds) participating in the round.
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Using advanced robotics, AcuSurgical is making ocular microsurgery safer and more accessible by dramatically improving the precision of surgical interventions. A proof of concept of the platform has already been completed with a first prototype validated in a preclinica ....

United States , France General , Celia Hart , Christoph Spuhler , Yassine Haddab , Philippe Poignet , Gilles Thuret , Venture Fund , Digital Technology , European Investment Fund , Europe Venture Fund , Atomic Energy Commission , Fonds National , Engineering Sciences , Health Nutrition , Saint Etienne University Hospital , Energy Environment , Laboratory Of Computer Science , Equity Partners , Supernova Invest , Sofimac Innovation , Pertinence Invest , Best Funds , Chief Executive Officer , Computer Science , Philippe Gain ,

EHR: Valuable Predictor of Those Likeliest to Die from COVID


EHR: Valuable Predictor of Those Likeliest to Die from COVID
by Colleen Fleiss on 
February 6, 2021 at 3:37 AM
Artificial intelligence (AI) identifies factors such as age, history of pneumonia, gender, race and comorbidities like diabetes and cancer as predictors of poor outcomes in COVID-19 patients, said Massachusetts General Hospital (MGH) researchers. The findings of the study are published in npj Digital Medicine.
By combining computational methods and clinical expertise, we developed a set of models to forecast the most severe COVID-19 outcomes based on past medical records, and to help understand the differences in risk factors across age groups, says co-lead author Hossein Estiri, PhD, an investigator in the Laboratory of Computer Science at MGH and an assistant professor of Medicine at Harvard Medical School (HMS). ....

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