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Advanced AI Based Retinal Screening with Instant Results

New York-Tel Aviv based digital health company, AEYE Health, has developed an AI-based retinal screening system that provides analysis and diagnostic results within 60 seconds.

Retinal diseases such as diabetic retinopathy (DR), glaucoma, macular degeneration and hypertensive retinopathy are becoming a pandemic. Over a billion people worldwide, and over 75 million people in the US, are at high risk for loss of sight and require an annual retinal check.

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Smartphones may Help Detect Diabetes

Researchers at UC San Francisco have developed a "digital biomarker" that would use a smartphone's built-in camera to detect Type 2 diabetes - one of the world's top causes of disease and death - potentially providing a low-cost, in-home alternative to blood draws and clinic-based screening tools.

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Philips Launches Rapid Equipment Deployment Kit to COVID-19 Response

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, introduced its Rapid Equipment Deployment Kit for ICU ramp-ups, allowing doctors, nurses, technicians and hospital staff to quickly support critical care patient monitoring capabilities during the COVID-19 pandemic.

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The Role of Mobile Health Technology in COVID-19 Pandemic

An international task force, including two University of Massachusetts Amherst computer scientists, concludes in new research that mobile health (mHealth) technologies are a viable option to monitor COVID-19 patients at home and predict which ones will need medical intervention.

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Cloud and VNA Deal to Advance Regional Working and AI for NHS SWASH Consortium

A consortium of NHS trusts around the south coast of England has signed its second deal this year with imaging technology provider Sectra, in a move that is expected to advance how hospitals share and access important diagnostic imaging. A new shared multimedia archive will also allow the trusts to accelerate ambitions for initiatives including artificial intelligence.

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Scientists Identify Hundreds of Drug Candidates to Treat COVID-19

Scientists at the University of California, Riverside, have used machine learning to identify hundreds of new potential drugs that could help treat COVID-19, the disease caused by the novel coronavirus, or SARS-CoV-2.

"There is an urgent need to identify effective drugs that treat or prevent COVID-19," said Anandasankar Ray, a professor of molecular, cell, and systems biology who led the research.

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Philips Makes Access to Care and Personalized Telehealth for Local Communities Real with Virtual Care Station

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced the launch of Virtual Care Station[1], a telehealth environment that delivers virtual care services in convenient neighborhood locations such as retail settings, libraries, town halls and universities.

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Smartwatch Tracks Medication Levels to Personalize Treatments

Engineers at the UCLA Samueli School of Engineering and their colleagues at Stanford School of Medicine have demonstrated that drug levels inside the body can be tracked in real time using a custom smartwatch that analyzes the chemicals found in sweat. This wearable technology could be incorporated into a more personalized approach to medicine - where an ideal drug and dosages can be tailored to an individual.

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Allscripts Clients Dedicated to Patient Health throughout COVID-19 Pandemic

Since the beginning of the COVID-19 pandemic, Allscripts (NASDAQ: MDRX) and its clients have taken significant actions to ensure effective care delivery in the communities they serve. With unwavering dedication to patient health, caregivers from both large hospital systems and independent physician practices around the world continue to excel in the face of the unprecedented crisis to help manage their patients and combat the spread of the virus.

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AI may Offer a Better Way to ID Drug-Resistant Superbugs

Biomedical engineers at Duke University have shown that different strains of the same bacterial pathogen can be distinguished by a machine learning analysis of their growth dynamics alone, which can then also accurately predict other traits such as resistance to antibiotics.

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