Results 121 to 130 of about 25,704 (258)

Predicting the Future of Aesthetic Surgery: An Artificial Intelligence Framework for Global Publication Forecasting. [PDF]

open access: yesAesthet Surg J
Karamitros G   +7 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Scalable and robust regression models for continuous proportional data. [PDF]

open access: yesJ Am Stat Assoc
Lee CJ   +3 more
europepmc   +1 more source

Celastrol‐Loaded Conductive Hydrogel Mitigates Myocardial Ischemia‐Reperfusion Injury and Restores Electrophysiological Function

open access: yesAdvanced Science, EarlyView.
Schematic illustration of the Pluronic F127 diacrylate/gelatin methacryloyl/poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate)/celastrol hydrogel (FGPC) for localized myocardial ischemia–reperfusion injury treatment. FGPC combines sustained celastrol delivery with PEDOT:PSS‐mediated conductive support to attenuate acute oxidative/inflammatory ...
Shixin Wang   +10 more
wiley   +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

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

open access: yesAdvanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang   +5 more
wiley   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

open access: yesAdvanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu   +16 more
wiley   +1 more source

Home - About - Disclaimer - Privacy