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 …
Multiscale modeling meets machine learning: What can we learn?
Abstract Machine learning is increasingly recognized as a promising technology in the
biological, biomedical, and behavioral sciences. There can be no argument that this …
biological, biomedical, and behavioral sciences. There can be no argument that this …
Predicting mechanically driven full-field quantities of interest with deep learning-based metamodels
Using simulation to predict the mechanical behavior of heterogeneous materials has
applications ranging from topology optimization to multi-scale structural analysis. However …
applications ranging from topology optimization to multi-scale structural analysis. However …
Prediction of arrhythmia susceptibility through mathematical modeling and machine learning
At present, the QT interval on the electrocardiographic (ECG) waveform is the most common
metric for assessing an individual's susceptibility to ventricular arrhythmias, with a long QT …
metric for assessing an individual's susceptibility to ventricular arrhythmias, with a long QT …
Synergy between machine learning and natural products cheminformatics: Application to the lead discovery of anthraquinone derivatives
Cheminformatics utilizing machine learning (ML) techniques have opened up a new horizon
in drug discovery. This is owing to vast chemical space expansion with rocketing numbers of …
in drug discovery. This is owing to vast chemical space expansion with rocketing numbers of …
MultiCBlo: Enhancing predictions of compound-induced inhibition of cardiac ion channels with advanced multimodal learning
Predicting compound-induced inhibition of cardiac ion channels is crucial and challenging,
significantly impacting cardiac drug efficacy and safety assessments. Despite the …
significantly impacting cardiac drug efficacy and safety assessments. Despite the …
Enhancing mechanical metamodels with a generative model-based augmented training dataset
Modeling biological soft tissue is complex in part due to material heterogeneity.
Microstructural patterns, which play a major role in defining the mechanical behavior of …
Microstructural patterns, which play a major role in defining the mechanical behavior of …
Artificial intelligence in cardiovascular medicine
Artificial intelligence demonstrates the ability to learn through assimilation of large datasets
to unravel complex relationships, discover prior unfound pathophysiological states and …
to unravel complex relationships, discover prior unfound pathophysiological states and …
Exploring the integration of informed machine learning in engineering applications: A comprehensive review
Abstract Integrating Artificial Intelligence (AI) and Machine Learning (ML) into mechanical
engineering catalyzes a transformative shift within Industry 4.0, offering unprecedented …
engineering catalyzes a transformative shift within Industry 4.0, offering unprecedented …