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Genesis Healthcare announces launch of new wellness mobile application

Genesis Healthcare Co., Japan's leading genetic testing and research company, today announced the launch of its new mobile application in Singapore, empowering its new and existing GeneLife users to access personal genetic results on their mobile and receive personalized wellness advice and recommendations to enhance their health and lifestyle.

31 Jul 2019

Machine learning approach predicts the severity of storms

Thunderstorms are common all over the world in summer. As well as spoiling afternoons in the park, lightning, rain and strong winds can damage power grids and cause electricity blackouts.

30 Jul 2019

New AI-based computerized solution improves clinical trial recruitment

Clinical trials are a critical tool for getting new treatments to people who need them, but research shows that difficulty finding the right volunteer subjects can undermine the effectiveness of these studies.

25 Jul 2019

Measuring pupil dilation and heart rate using AI could enable earlier diagnosis of autism

Autism and other neurodevelopmental disorders often aren't diagnosed until a child is a few years of age, when behavioral interventions and speech/occupational therapy become less effective.

24 Jul 2019

New machine-learning models could improve prediction of surgical-case duration

Operating rooms are a precious resource. They may account for 50 percent of a hospital's revenues and cost as much as $80 a minute. But figuring out how much time to allot for a surgery is a challenge every hospital faces.

22 Jul 2019

Researchers use Twitter and artificial intelligence to see who’s exercising

Social media captures demographic data on physical activity by using Twitter and artificial intelligence (AI), a new study shows.

18 Jul 2019

IT Faces the Digital Pathology Data Tsunami

Digital pathology is the viewing, analyzing, and managing of digitalized pathology slides with computer technology.

From Huron Digital Pathology 17 Jul 2019

Application of machine learning methods to healthcare outcomes research

Value in Health, the official journal of ISPOR- the professional society for health economics and outcomes research, announced today the publication of a high-level overview of machine learning for healthcare outcomes researchers and decision makers.

16 Jul 2019

Researchers use blood samples from zoo to improve computer-assisted disease prognosis

The researchers want to use similar genetic patterns, which have been present in the blood of humans and animals for thousands of years, to improve computer-assisted disease prognosis.

16 Jul 2019

Using machine learning algorithm to accurately diagnose breast cancer

Breast cancer is the leading cause of cancer-related death among women. It is also difficult to diagnose. Nearly one in 10 cancers is misdiagnosed as not cancerous, meaning that a patient can lose critical treatment time.

14 Jul 2019

Artificial intelligence can help accurately predict acute kidney injury in burn patients

Many burn victims suffer acute kidney injury (AKI), but early recognition of AKI remains challenging. Now an Artificial Intelligence / Machine Learning (AI/ML) model developed at UC Davis Health and reported in a new study can predict acute kidney injury quicker and more accurately than ever.

12 Jul 2019

EPFL scientists create first world map of regions with highest hepatitis E prevalence

EPFL scientists have created the first world map of regions with the highest prevalence of the hepatitis E virus.

11 Jul 2019

Novel method can help clinicians identify individuals most in need of PrEP

Researchers have demonstrated the effectiveness of using algorithms that analyze electronic health records to help physicians identify patients at risk for HIV who may benefit from preexposure prophylaxis, which significantly reduces the risk of getting HIV.

9 Jul 2019

Two new studies develop algorithms to identify patients at risk of acquiring HIV

Two new studies developed algorithms that can identify patients who are at risk of acquiring HIV and may benefit from preventive care. Both studies appear in the July 5 issue of The Lancet HIV.

8 Jul 2019

New technology could improve surgical outcomes for cancer patients

A study led by researchers at RCSI's Department of Chemistry has the potential to help surgeons more accurately remove tumors and detect cancer in lymph nodes during surgery.

8 Jul 2019

Machine learning model accurately classifies the stages of bladder cancer

The invasive and expensive diagnosis process of bladder cancer, which is one of the most common and aggressive cancers in the United States, may be soon helped by a novel non-invasive diagnostic method thanks to advances in machine learning research at the San Diego Supercomputer Center, Moores Cancer Center, and CureMatch Incorporated.

3 Jul 2019