Asthma can be predicted using non-biological measurements from the age of 3 years, according to one study. Machine learning models can predict physician-diagnosed asthma in early childhood, a recent ...
Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...
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Machine learning tool identifies compounds that induce cancer cells into senescence
A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP ...
A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled “SAMP ...
In a recent study posted to the Preprints with The Lancet SSRN* server, a team of researchers in China developed a machine learning-based diagnostic tool to detect tuberculosis and drug-resistant ...
Machine learning can be valuable in supporting sustainable development of biomass if it is applied across the entire lifecyle of biomass and biomass-derived products, according to a new study. Biomass ...
Generalizable machine learning prediction models were developed using 4 algorithms: logistic regression, decision tree, random forest, and eXtreme Gradient Boosting. HealthDay News — In a diagnostic ...
Jorge Palop, PhD, and Stephanie Miller, PhD, of Gladstone Institutes review data collected from an open-source machine learning tool called VAME. The tool analyzed video footage of mice to provide new ...
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