PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology We used an innovative machine learning approach to analyze ...

Reinforcement signals indicating success or failure are known to alter the probability of selecting between distinct actions. However, successful performance of many motor skills, such as speech ...

PAUL M. MORSINK, MICHELLE SCHIRA HAGERMAN, ANNE HEINTZ, D. MATTHEW BOYER, ROBIN HARRIS, KRISTEN KERELUIK, DOUGLAS K. HARTMAN, ANNE WOOD, AMBER WHITE, CARMEN WOODRUFF ...

Automated imaging-based stratification of early-stage lung cancer patients prior to receiving surgical resection using deep learning applied to CTs.

Student-centred learning design prioritises the unique needs and inclinations of each student. This pedagogical orientation in universities makes the student the focal point of the learning process, ...

In the world of machine learning, algorithms thrive on unsupervised data. They analyze large volumes of information without explicit labels, and yet still manage to learn useful patterns. This success ...