Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...
A new risk assessment model developed by investigators from the Blood & Marrow Transplant Clinical Trials Network (BMT CTN) will be presented by Fred Hutch Cancer Center transplant doctor Mohamed ...
Mitoxantrone Versus Liposomal Daunorubicin in Induction of Pediatric AML With Risk Stratification Based on Flow Cytometry Measurement of Residual Disease For prediction of deleterious TP53 mutations, ...
Pelvic organ prolapse (POP), a condition whose development is shaped by both genetic and clinical risk factors, significantly impairs women’s quality of life, yet genetic insights into non-European ...
Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...
Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.
Pelvic organ prolapse (POP), a condition whose development is shaped by both genetic and clinical risk factors, significantly impairs women's quality of life, yet genetic insights into non-European ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results