Please provide your email address to receive an email when new articles are posted on . Researchers have proposed a machine-learning algorithm for personalized treatment selection in patients with ...
The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...
BERIL-1: Biomarker results from targeted sequencing of circulating tumor DNA (ctDNA) and archival tissue in a randomized phase II study of buparlisib (BKM120) or placebo plus paclitaxel in patients ...
WEST LAFAYETTE, Ind. — A Purdue University professor and several international researchers have developed a new method and algorithm that can predict the recurrence of prostate cancer in patients ...
June 22, 2010 (Boca Raton, Florida) — Measuring the coefficient of variation (CV) in the ratio between the level of lithium in the serum and the dose of lithium (L/D ratio) that has actually been ...
Approximately 20% to 30% of men with prostate cancer experience disease recurrence within 5 years of therapeutic intervention. 1 A key challenge in managing these patients is a scarcity of accurate ...
Researchers have developed a new AI-powered algorithm to help understand how different cells organize themselves into particular tissues and communicate with one another. Researchers from Children's ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results