Artificial intelligence could be used to triage patients suspected at risk of early stage oesophageal cancer

Artificial intelligence ‘deep learning’ techniques can be used to triage suspected cases of Barrett oesophagus, a precursor to oesophageal cancer, potentially

Cambridge University News • cambridge
April 15, 2021 ~5 min

3 medical innovations fueled by COVID-19 that will outlast the pandemic

The coronavirus pandemic has driven a lot of scientific progress in the past year. But just as some of the social changes are likely here to stay, so are some medical innovations.

Nevan Krogan, Professor and Director of Quantitative Biosciences Institute & Senior Investigator at the Gladstone Institutes, University of California, San Francisco • conversation
March 9, 2021 ~12 min

Coronavirus nanoscience: the tiny technologies tackling a global pandemic

Nanotechnology has an impressive record against viruses.

Josh Davies, PhD Candidate in Chemistry, Cardiff University • conversation
Sept. 7, 2020 ~7 min

Wearable fitness devices deliver early warning of possible COVID-19 infection

Fitness information like resting heart rate collected by wearable devices can't diagnose diseases, but it can signal when something is wrong. That can be enough to prompt a COVID-19 test.

Albert H. Titus, Professor of Biomedical Engineering, University at Buffalo, The State University of New York • conversation
Aug. 7, 2020 ~9 min

Is telehealth as good as in-person care? A telehealth researcher explains how to get the most out of remote health care

Telehealth has seen massive increases in use since the pandemic started. When done right, remote health care can be just as effective as in-person medicine.

Jennifer A. Mallow, Associate Professor of Nursing, West Virginia University • conversation
July 22, 2020 ~8 min

Early detection of Alzheimer’s possible through algorithm

Researchers have developed a software-based method of scanning electronic health records to estimate the risk that a healthy person will receive a dementia diagnosis in the future.

Harvard Gazette • harvard
Dec. 17, 2019 ~4 min

When starting school, younger children are more likely to be diagnosed with ADHD, study says

A Harvard study has found that children born in August in states with a Sept. 1 cutoff birth date for school enrollment have a 30 percent higher risk for ADHD diagnosis than peers born in September, which may reflect overdiagnosis.

Jake Miller • harvard
Nov. 28, 2018 ~7 min

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