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Research team from Nanjing University proposed FOCUS, a causal model-based offline RL algorithm, which uses causal structure ...
A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University ...
After training on this data, the model can then classify ... TikTok and Spotify use machine learning algorithms to recommend content to users based on their preferences and viewing or listening ...
A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater ...
Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...
One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National ...
More information: Jason Wu et al, Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning Model, Human Gene Therapy (2025). DOI: 10.1089/hum.2024.227 ...
A machine learning model outperformed biological tests for latent TB in identifying HIV-positive people at high risk of ...
A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University of California ...