In predictive toxicology, machine learning models are built from the analysis of databases such as ToxCast, ChEMBL, and PubChem, or data in the public domain and published literature.

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

In an era where AI is increasingly powering everyday systems from loan approvals to personalized healthcare, ensuring fairness and mitigating bias in machine learning pipelines has become a top ...

Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are ...

Further interrogation of the predictive accuracy demonstrated that the AUC of the precision recall curve (PRAUC) was 0.90, and the weighted F1 score was 0.86. A confusion matrix was generated ...

New research presented during the 2024 San Antonio Breast Cancer Symposium (SABCS) reveals a new machine learning model that could change the way metastatic breast cancer is treated in the future. By ...