Research

New Group to Advance Digital Twins in Healthcare

EDITH (Ecosystem for Digital Twins in Healthcare) Coordination and Support Action (CSA) - a group made up of numerous internationally renowned research institutions, professional associations, companies, and hospitals of excellence - has marked a successful inception with its first official meeting and commencement of its ambitious plans.

3D Protein Structure Predictions Made by an AI can Boost Cancer Research and Drug Discovery

In a living being, proteins make up roughly everything: from the molecular machines running every cell's metabolism, to the tip of your hair. Encoded in the DNA, a protein may be represented as a thread of hundreds of individual molecules called amino acids, linked together. Depending on its particular amino acids combination, a protein folds in one way or another, resulting in a functional 3D shape.

Willingness to Use Video Telehealth Increased During Pandemic

Americans' use and willingness to use video telehealth has increased since the beginning of the COVID-19 pandemic, rising most sharply among Black Americans and people with less education, according to a new RAND Corporation study.

Following a representative survey panel of Americans from March 2019 through March 2021, researchers found that the willingness to use video telehealth increased overall from 51% in February 2019 to 62% in March 2021.

Integrating Digital Twins and Deep Learning for Medical Image Analysis in the Era of COVID-19

Digital twins are virtual representations of devices and processes that capture the physical properties of the environment and operational algorithms/techniques in the context of medical devices and technologies. Digital twins may allow healthcare organizations to determine methods of improving medical processes, enhancing patient experience, lothis studyring operating expenses, and extending the value of care.

AI Approach may Help Identify Melanoma Survivors who Face a High Risk of Cancer Recurrence

Most deaths from melanoma - the most lethal form of skin cancer - occur in patients who were initially diagnosed with early-stage melanoma and then later experienced a recurrence that is typically not detected until it has spread or metastasized.

A team led by investigators at Massachusetts General Hospital (MGH) recently developed an artificial intelligence - based method to predict which patients are most likely to experience a recurrence and are therefore expected to benefit from aggressive treatment.

Telemedicine Reduces Odds of No-Show Clinic Visits by More than Two-Thirds for Surgical Patients

Surgical patients who use telehealth services are much more likely to show up for their initial clinic visit or follow-up appointment during the post-surgery period than those who rely on in-person visits only. Research findings were presented at the Scientific Forum of the American College of Surgeons (ACS) Clinical Congress 2022.

Can Smartphones Predict Mortality Risk?

Passive smartphone monitoring of people’s walking activity can be used to construct population-level models of health and mortality risk, according to a new study publishing October 20th in the open access journal PLOS Digital Health by Bruce Schatz of University of Illinois at Urbana-Champaign, USA, and colleagues.

Research News

New Group to Advance Digital Twins in Healthcare

3D Protein Structure Predictions Made by an AI can Boost Cancer Research and Drug Discovery

Willingness to Use Video Telehealth Increased During Pandemic

Integrating Digital Twins and Deep Learning for Medical Image Analysis in the Era of COVID-19

AI Approach may Help Identify Melanoma Survivors who Face a High Risk of Cancer Recurrence

Telemedicine Reduces Odds of No-Show Clinic Visits by More than Two-Thirds for Surgical Patients

Can Smartphones Predict Mortality Risk?

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