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UrduArticle title: Genome-wide association study of exercise-induced skeletal muscle hypertrophy and the construction of predictive model Authors: Xiaolin Yang, Yanchun Li, Tao Mei, Jiayan Duan, Xu Yan, Lars McNaughton, Zihong He From the authors: “We identified genetic variants that underlie [resistance training]…
Tag: Predictive Modeling
AI predictive models shown to be unreliable over time in clinical settings
A simulation study of artificial intelligence (AI) predictive models using electronic health record (EHR) data in the ICU setting found that the successful use of such models may impair the function of other models – present and future, as well as themselves.
Department of Energy Announces $16 Million for Research on Scientific Machine Learning for Complex Systems
Today, the U.S. Department of Energy (DOE) announced $16 million in funding for four projects in scientific machine learning for the predictive modeling and simulation of complex systems.
Developing Digital Twins for Improved Hurricane Prediction
UT’s Oden Institute will lead an interdisciplinary research project to develop a computational “digital twin” framework for storm surge modeling in the Gulf Coast that bridges the gap between multi-physics simulations and knowledge discovery through artificial intelligence (AI) and machine learning (ML) technologies.
UCLA Model Identifies Neighborhoods That Should Have Priorities as Re-Opening Begins
A UCLA team has developed a predictive model that pinpoints which populations in which neighborhoods of Los Angeles County are most at risk from COVID-19, and, by extension, which should be prioritized for vaccines. The work is applicable nationally.
UB pharmacy researcher aims to develop real-time algorithm to lower hospital readmission rates
To lower hospital readmission rates for patients with chronic obstructive pulmonary disease (COPD), University at Buffalo pharmacy researcher David Jacobs has received a $962,000 award from the National Heart, Lung, and Blood Institute to develop a real-time readmission risk prediction algorithm.
Mayo Clinic adds state-by-state vaccination rates, national trends to COVID-19 Resource Center
Mayo Clinic data scientists have added a vaccination tracker to Mayo’s COVID-19 Resource Center, with state-by-state data and trends, so users can follow the COVID-19 vaccine rollout in all 50 states, compare progress on one- and two-shot vaccinations, and receive Mayo Clinic guidance on what the trends mean for summer travel and keeping your family safe.
Mayo Clinic’s Coronavirus Map now features forecasting on emerging COVID-19 hot spots
Mayo Clinic’s Coronavirus Map tracking tool, which has county-by-county information on COVID-19 cases and trends nationwide, now offers predictive modeling that forecasts where hot spots will emerge over the next 14 days.
Mount Sinai Researchers Identify Protein that Protects Against Alzheimer’s Disease
Detailed predictive analyses and functional studies show that the VGF protein protects against onset and progression of Alzheimer’s disease, paving the way for future drug discovery efforts