Nature

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 ...
ascopubs.org

Association of machine learning (ML)–derived histological features with transcriptomic molecular subtypes in advanced renal cell carcinoma (RCC).

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 ...
GEN

Machine Learning Can Reduce Antibody Self-Association

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 ...
Nature

Author Correction: A method for miRNA-disease association prediction using machine learning decoding of multi-layer heterogeneous graph Transformer encoded representations

These authors contributed equally: SiJian Wen and YinBo Liu. These authors jointly supervised this work: XiaoLei Zhu and YongMei Wang.
Science Daily

Machine learning could offer faster, more precise results for cardiac MRI scans

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, ...
Forbes

Management AI: Matching AI Models To Business Needs, Unsupervised Learning, Customer Segmentation, And Association

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 ...