IBM researchers trained artificial intelligence to pick up hints of changes in language ahead of the onset of neurological diseases. An M.R.I. scan of a patient over the age of 60 with Alzheimer’s disease.Credit…Zephyr/Science Source By Gina Kolata Feb. 1, 2021, 10:41 a.m. ET Is it possible to predict who will develop Alzheimer’s disease simply by looking...
Category: <span>Prognostic</span>
Automated AI algorithm uses routine imaging to predict cardiovascular risk
by Brigham and Women’s Hospital Credit: CC0 Public Domain Coronary artery calcification—the buildup of calcified plaque in the walls of the heart’s arteries—is an important predictor of adverse cardiovascular events like heart attacks. Coronary calcium can be detected by computed tomography (CT) scans, but quantifying the amount of plaque requires radiological expertise, time and specialized equipment....
Childhood trauma could affect development, treatment of multiple sclerosis
by Liz Ahlberg Touchstone, University of Illinois at Urbana-Champaign Credit: CC0 Public Domain Childhood trauma could affect the trajectory of multiple sclerosis development and response to treatment in adulthood, a new study in mice found. Mice that had experienced stress when young were more likely to develop the autoimmune disorder and less likely to respond to...
Host immune classifier HIC assays may predict treatment response
INTERNATIONAL ASSOCIATION FOR THE STUDY OF LUNG CANCER (Singapore–4:45 p.m. SPT/3:45 a.m. EST January 30, 2021–Using a host immune classifier (HIC) test for patients with non-small cell lung cancer (NSCLC) may provide better predictors of treatment response and improve outcomes, according to research presented today at the International Association for the Study of Lung Cancer’s 2020 World...
Using artificial intelligence to predict which women will develop breast cancer
by Bob Yirka , Medical Xpress Micrograph showing a lymph node invaded by ductal breast carcinoma, with extension of the tumour beyond the lymph node. Credit: Nephron/Wikipedia A team of researchers with members from institutions in the U.S., Sweden and Taiwan has developed an artificial intelligence system for predicting breast cancer years before tumors appear. In their...
Not-so-Young at Heart
Heart disease deaths have declined among older people, but the trend is less encouraging among younger people, particularly women. Indeed, research suggests that heart disease and death rates from heart disease in these younger groups have remained unchanged or have even gone up slightly. To understand which factors put younger individuals at higher risk of premature coronary...
Diabetes powerfully associated with premature coronary heart disease in women
BRIGHAM AND WOMEN’S HOSPITAL BOSTON — While deaths related to heart disease have declined among older people, studies suggest that death rates among younger patients have remained stagnant or increased slightly. To understand what factors put younger individuals at higher risk of premature coronary heart disease (CHD), researchers from Brigham and Women’s Hospital and the...
Eye tests predict Parkinson’s-linked cognitive decline 18 months ahead
UNIVERSITY COLLEGE LONDON Simple vision tests can predict which people with Parkinson’s disease will develop cognitive impairment and possible dementia 18 months later, according to a new study by UCL researchers. The study, published in Movement Disorders, adds to evidence that vision changes precede the cognitive decline that occurs in many, but not all, people with...
Likelihood of severe and ‘long’ COVID may be established very early on following infection
by Craig Brierley, University of Cambridge SARS-CoV-2 virus particles are shown emerging from the surface of cells cultured in the lab Credit: NIH Image Gallery New research provides important insights into the role played by the immune system in preventing—and in some cases increasing the severity of—COVID-19 symptoms in patients. It also finds clues to why...
Biomarkers in mother’s plasma predict a type of autism in offspring with 100% accuracy
by UC Davis Credit: Unsplash/CC0 Public Domain Using machine learning, researchers at the UC Davis MIND Institute have identified several patterns of maternal autoantibodies highly associated with the diagnosis and severity of autism. Their study, published Jan. 22 in Molecular Psychiatry, specifically focused on maternal autoantibody-related autism spectrum disorder (MAR ASD), a condition accounting for around 20% of all autism...