Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

“Predictive modeling uses regression analysis to project forward and try to predict future health events,” says Dr. Orr. When using predictive modeling, “the quality of data and the size of the data ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

Stanford Medicine has developed a vision-language artificial intelligence (AI) model that can predict cancer outcomes, such as forecasting melanoma relapses and patient responses to immunotherapy.

A complete process from digital twins (DTs) to virtual simulation to virtual and real symbiosis for lifeline infrastructures using structural effects as the connecting elements. The theoretical and ...

NEW YORK & TEL AVIV, Israel--(BUSINESS WIRE)--Pecan AI, the leader in AI-based predictive analytics for data analysts and business teams, today announced Predictive GenAI, a unique combination of ...

Camrelizumab combined with rivoceranib and TACE in the perioperative treatment of hepatocellular carcinoma: A randomized, open-label multicenter trial. This is an ASCO Meeting Abstract from the 2025 ...

Men with adrenal-permissive HSD3B1 genotype and prostate cancer mortality: Results from the Veterans Affairs Health System Million Veteran Program. Parameter treated as *categorical or † continuous.