A multidisciplinary team led by MUSC Hollings Cancer Center researcher Sophie Paczesny, M.D., Ph.D., developed an AI-based tool that can identify patients at higher risk for serious post-transplant ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

If you typically only take a few tools with you when working on projects outside of your home, tossing them into a toolbox is probably your best bet. However, if you routinely feel like you’re ...

A machine learning model predicts progression independent of relapse activity (PIRA) in early multiple sclerosis. Key predictors for PIRA include age at symptom onset, early disability scores, and ...

Worldwide Flight Services (WFS), a SATS company, has developed a new machine learning-based forecasting tool designed to improve the accuracy of air cargo volume predictions and better align workforce ...

Worldwide Flight Services (WFS), a SATS company, has developed a digital tool that uses machine learning to forecast cargo volumes and improve workforce planning. The system has been trained on 10 ...

Patients at primary care clinics received more dementia diagnoses after implementation of a machine-learning tool designed to flag potential cases, according to a study published in JAMA Network. The ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP-Score: a morphology-based machine learning classification method for ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...

It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence. It’s everywhere, as the author learned the ...

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...