Results 121 to 130 of about 61,068 (254)

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

Gradient Boosting Machine and Efficient Combination of Features for Speech-Based Detection of COVID-19. [PDF]

open access: yesIEEE J Biomed Health Inform, 2022
Dash TK   +3 more
europepmc   +1 more source

Amuc_1473 Links Gut Microbes to Skeletal Homeostasis and Counteracts Multifactorial Osteoporosis

open access: yesAdvanced Science, EarlyView.
Amuc_1473, a previously uncharacterized protein enriched in Akkermansia muciniphila‐derived extracellular vesicles, is identified as a gut–bone messenger that promotes osteogenesis and inhibits osteoclastogenesis by engaging transcriptional and translational regulators in bone cells.
Shan‐Shan Rao   +28 more
wiley   +1 more source

Research on fall prediction in elderly patients with chronic diseases based on explainable machine learning: an aging perspective

open access: yesBMC Geriatrics
Background With the increasingly serious trend of population aging in China, falls have become a critical public health issue endangering the health of older adults.
Qin Zhang   +6 more
doaj   +1 more source

Multi‐Omics Profiling Reveals Immunomodulatory and Pro‐Regenerative Effects of a Graphene Oxide–Collagen Scaffold in Massive Rotator Cuff Tears

open access: yesAdvanced Science, EarlyView.
A graphene oxide/collagen scaffold is developed for chronic massive rotator cuff tear repair. The scaffold improves compressive stability, supports reparative mesenchymal differentiation, and modulates the immune microenvironment. In chronic MRCT models, it reduces muscle degeneration, enhances tendon–bone regeneration, and improves functional recovery,
Renwen Wan   +24 more
wiley   +1 more source

Writing the Signs: An Explainable Machine Learning Approach for Alzheimer's Disease Classification from Handwriting

open access: yesHealthcare Technology Letters
Alzheimer's disease is a global health challenge, emphasizing the need for early detection to enable timely intervention and improve outcomes. This study analyzes handwriting data from individuals with and without Alzheimer's to identify predictive ...
Ngoc Truc Ngan Ho   +2 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

open access: yesAdvanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue   +6 more
wiley   +1 more source

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