Endocrine disruptors (EDs) are hormone-like substances that can have undesirable effects on health. For example, chemicals can increase the risk of breast cancer if they act in a manner similar to the female sex hormone […]
Clinical research requires that data be mined for insights. Machine learning, which develops algorithms to find patterns, has difficulty doing this with data related to health records because this type of information is neither static […]
Researchers have developed a tool to identify security and privacy risks associated with COVID-19 contact tracing apps.This post was originally published on this site
Computer modeling to forecast Covid-19 mortality contains significant uncertainty in its predictions, according to an international study led by researchers at UCL and CWI in the Netherlands. Their article ‘The Impact of Uncertainty on Predictions […]
A new approach to pooled COVID-19 testing can be a highly effective tool for curbing the SARS-CoV-2 pandemic, even if infections are widespread in a community, according to researchers at Harvard T.H. Chan School of […]
Using machine learning tools to analyze hundreds of proteins, UT Southwestern researchers have identified a group of biomarkers in blood that could lead to an earlier diagnosis of children with autism spectrum disorder (ASD) and, […]
The steadily increasing prevalence and high costs of treating chronic joint pain worldwide poses a challenge for healthcare systems and healthcare payers. New research published today in JAMA Network Open shows the effectiveness of a […]
A new study, published today in Nature Digital Medicine, found that ‘natural language processing’ (NLP) of information routinely recorded by doctors—as part of patients’ electronic health records—reveal vital trends that could help clinical teams forecast […]
Live tracking and analyzing of the dynamics of chimeric antigen receptor (CAR) T-cells targeting cancer cells can open new avenues for the development of cancer immunotherapy. However, imaging via conventional microscopy approaches can result in […]
A machine learning-based tool was able to predict the risk of malignancy among patients presenting with multiple pulmonary nodules and outperformed human experts, previously validated mathematical models, and a previously established artificial intelligence tool, according […]
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