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Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
Fueled by breakthrough technology developments, the biological, biomedical, and
behavioral sciences are now collecting more data than ever before. There is a critical need …
behavioral sciences are now collecting more data than ever before. There is a critical need …
Precision medicine in human heart modeling: Perspectives, challenges, and opportunities
Precision medicine is a new frontier in healthcare that uses scientific methods to customize
medical treatment to the individual genes, anatomy, physiology, and lifestyle of each person …
medical treatment to the individual genes, anatomy, physiology, and lifestyle of each person …
Physics-informed neural networks for cardiac activation map**
A critical procedure in diagnosing atrial fibrillation is the creation of electro-anatomic
activation maps. Current methods generate these map**s from interpolation using a few …
activation maps. Current methods generate these map**s from interpolation using a few …
Simulation intelligence: Towards a new generation of scientific methods
A Lavin, D Krakauer, H Zenil, J Gottschlich… - ar** multiscale-multiphysics models and their surrogates for digital twins of metal additive manufacturing
Artificial intelligence (AI) embedded within digital models of manufacturing processes can be
used to improve process productivity and product quality significantly. The application of …
used to improve process productivity and product quality significantly. The application of …
Review of multi-fidelity models
Multi-fidelity models provide a framework for integrating computational models of varying
complexity, allowing for accurate predictions while optimizing computational resources …
complexity, allowing for accurate predictions while optimizing computational resources …
Multi-objective materials bayesian optimization with active learning of design constraints: Design of ductile refractory multi-principal-element alloys
Bayesian Optimization (BO) has emerged as a powerful framework to efficiently explore and
exploit materials design spaces. To date, most BO approaches to materials design have …
exploit materials design spaces. To date, most BO approaches to materials design have …
Creation and application of virtual patient cohorts of heart models
Patient-specific cardiac models are now being used to guide therapies. The increased use
of patient-specific cardiac simulations in clinical care will give rise to the development of …
of patient-specific cardiac simulations in clinical care will give rise to the development of …