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 ...
A 49-year-old patient notices a painless rash on his shoulder but does not seek care. Months later, his wife asks him to see a doctor, who diagnoses a seborrheic keratosis. Later, when the patient ...
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, ...
The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...
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