Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
Abstract: As the basis of various micro-electromechanical system (MEMS) sensors and actuators, MEMS resonators are widely beset with the feed-through effect from parasitic capacitance networks, which ...
Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.
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Abstract: While handwritten notes offer valuable insights into students’ knowledge retention, traditional analysis methods are often time-consuming and limited in scope. This study introduces an ...
Background: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocognitive dysfunction (PND), which significantly affects the patients’ prognosis. Objective: This study ...
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