A new study published in the Journal of Autism and Developmental Disorders suggests that the ability to comprehend complex ...
Automated imaging-based stratification of early-stage lung cancer patients prior to receiving surgical resection using deep learning applied to CTs.
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 ...
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 ...
Understanding how people learn, and developing real-world learning tools—especially for children from high-poverty communities, who tend to underperform in school—is the goal of the new University of ...
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, ...
Learning loss has captured the attention of policy leaders, many of whom are sounding the alarm and calling for teachers to be stricter with grading and for children to hit the books, suggesting that ...
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