Irrespective of their personal, professional and social circumstances, different individuals can experience varying levels of life satisfaction, fulfillment and happiness. This general measure of life ...
Researchers at the Icahn School of Medicine at Mount Sinai and others have harnessed the power of machine learning to identify key predictors of mortality in dementia patients. Dementia has emerged as ...
The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...
Machine learning and statistical prediction of overall survival (OS) from pre-dose plasma biomarkers in a randomized phase 2 trial (1801 Part 3B) of the GSK-3 inhibitor elraglusib in metastatic ...
After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...
In a recent study published in the eBioMedicine, a group of researchers predicted depressive symptom severity (DSS) (intensity or degree of depressive symptoms an individual is experiencing) using ...
Machine-learning analysis identifies factors predicting T cell collection efficiency in CAR T-cell therapy for DLBCL patients. Higher blood volume, not higher circulating T-cell numbers, correlates ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results