A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

Please provide your email address to receive an email when new articles are posted on . The model predicted a 12.6% average risk for recurrent disease activity among DMT discontinuers. The model’s AUC ...

Whether a smartphone battery lasts longer or a new drug can be developed to treat incurable diseases depends on how stably ...

A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life ...

A new study demonstrates that computer models of gut metabolism can predict which probiotics will successfully establish ...

A research team led by a Duke professor recently developed a novel computational model to predict antibody structures, a significant breakthrough for disease prevention efforts. A study published in ...

Robotics startup 1X Technologies has developed a new generative model that can make it much more efficient to train robotics systems in simulation. The model, which the company announced in a new blog ...

Researchers developed a model using EHR data to predict MM risk, addressing late diagnosis issues due to lack of early symptoms and screening markers. The study analyzed data from Clalit Health ...

Please provide your email address to receive an email when new articles are posted on . Early detection and treatment of sepsis can improve outcomes for children. A team of physicians and computer ...