In just the last two years, artificial intelligence has become embedded in scores of medical devices that offer advice to ER doctors, cardiologists, oncologists, and countless other health care providers.
Apr 20, 2021
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A possible explanation for why many cancer drugs that kill tumor cells in mouse models won't work in human trials has been found by researchers with The University of Texas Health Science Center at Houston (UTHealth) School ...
Apr 1, 2021
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A team of researchers from King's College London and Monash University has created a database of information that relates COVID-19 and type II diabetes. The team has created the database for two reasons—the first is that ...
Artificial intelligence is able to predict who is most likely to die from the coronavirus. In doing so, it can also help decide who should be at the front of the line for the precious vaccines now being administered across ...
Feb 5, 2021
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Cancer is a major, worldwide challenge, and its impact is projected to escalate due to aging and growth of the population. Researchers recognize that new approaches to diagnose and treat deadly cancers, including identifying ...
Jan 22, 2021
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Pleiotropy analysis, which provides insight on how individual genes result in multiple characteristics, has become increasingly valuable as medicine continues to lean into mining genetics to inform disease treatments. Privacy ...
Jan 8, 2021
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An electronic nudge to clinicians—triggered by an algorithm that used machine learning methods to flag patients with cancer who would most benefit from a conversation around end-of-life goals—tripled the rate of those ...
Oct 16, 2020
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Oesophageal cancer is the eighth most common cancer worldwide. It often develops from a condition called Barrett's oesophagus. Existing monitoring and treatment methods are very intrusive, and many patients have to undergo ...
Sep 7, 2020
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Thermal imaging has been available for decades to detect temperature differences on the skin that could signal breast cancer without exposing patients to radiation, although the method is not as reliable as mammography.
Sep 7, 2020
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To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant ...
Jul 28, 2020
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