Research

Machine Learning can Help Predict Patient Response to Cancer Immunotherapy

Predicting which patients will respond well to treatment is a quandary that has plagued the field of cancer immunotherapy for more than four decades. Now, researchers at the Johns Hopkins Kimmel Cancer Center and its Bloomberg~Kimmel Institute for Cancer Immunotherapy are one step closer to solving that problem.

Evaluating Use of New AI Technology in Diagnosing COVID-19

Published in the Journal of the American Medical Informatics Association, University of Minnesota researchers led a study evaluating federated learning variations for COVID-19 diagnosis in chest x-rays. Federated learning is an artificial intelligence (AI) technique that enables multiple parties to develop and train AI models collaboratively without the need to exchange or centralize data sets.

AI Transforms Smartwatch ECG Signals into a Diagnostic Tool for Heart Failure

A study published in Nature Medicine reports the ability of a smartwatch ECG to accurately detect heart failure in nonclinical environments. Researchers at Mayo Clinic applied artificial intelligence (AI) to Apple Watch ECG recordings to identify patients with a weak heart pump. Participants in the study recorded their smartwatch ECGs remotely whenever they wanted, from wherever they were.

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.

Research News

Machine Learning can Help Predict Patient Response to Cancer Immunotherapy

Evaluating Use of New AI Technology in Diagnosing COVID-19

AI Transforms Smartwatch ECG Signals into a Diagnostic Tool for Heart Failure

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

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