Machine learning analysis for the association between breast feeding and metabolic syndrome in women
This cross-sectional study aimed to develop and validate population-based machine learning models for examining the association between breastfeeding and metabolic syndrome in women. The artificial ...
In designing and manufacturing therapeutic antibodies, a top objective is precise binding to an intended target. Sometimes, the antibodies can bind to each other through self-association. In a recent ...
“Guilt by association” is not competitive with genetic association for identifying autism risk genes
Discovering genes involved in complex human genetic disorders is a major challenge. Many have suggested that machine learning (ML) algorithms using gene networks can be used to supplement traditional ...
Quantitative circulating tumor DNA (ctDNA) assessment in patients (pts) with advanced urothelial carcinoma (UC) treated with pembrolizumab (pembro) or platinum-based chemotherapy (chemo) from the ...
Cardiac MRI scans can be read by AI (artificial intelligence) 186 times faster than humans, with comparable precision to experts. Because the greatest source of measurement errors are human factors, ...
This is part two of my series based on Lomit Patel’s “Lean AI” (O’Reilly, ISBN:978-1-492-05931-8). The first discussed business applications can benefit from supervised learning. This article will ...
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