Results 241 to 250 of about 422,144 (319)

Artificial intelligence in orthopedic trauma surgery: a scoping review of current applications and research gaps. [PDF]

Arch Orthop Trauma Surg
Wurm LM, Ertel W, Laue D.
europepmc   +1 more source

PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping

Advanced Science, EarlyView.
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su, Qi Qi, Yi Fan, Yubo Wang, Gaoyang Hao, Ka‐Chun Wong, Yunhe Wang, Xiangtao Li   +7 more
wiley   +1 more source

Current Applications and Future Perspectives of Artificial Intelligence in Face-Driven Orthodontics: A Scoping Review. [PDF]

Biomimetics (Basel)
Heribanová B, Janáková K, Tomášik J, Tichá D, Harsányi Š, Thurzo A.   +5 more
europepmc   +1 more source

Architectural Synergy: Investigating the Role of Artificial Neural Networks in Enabling Deep Learning

L. Ben Dalla Ben Dalla, T. Medeni Medeni, A Agila Agila, İ Medeni Medeni   +3 more
openalex   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Improving Diabetic Foot Care With Infrared Thermography and Artificial Intelligence: A Review. [PDF]

J Diabetes Sci Technol
Teixeira P, Filipe V, Teixeira A.
europepmc   +1 more source

Modeling the performance dynamics of an absorption heat transformer using artificial neural networks: conventional and deep learning

A. Márquez-Nolasco, D. Colorado, Noé Demesa, Josept D. Revuelta-Acosta, Alejandro J. García-Cuéllar, A. Huicochea, R.A. Conde-Gutiérrez   +6 more
openalex   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Convolutional neural networks: applications, challenges and future prospects in brain tumor research. [PDF]

Front Neurol
Zhang P, Yang Z.
europepmc   +1 more source

Model-free simulation and fed-batch control of cyanobacterial-phycocyanin production by artificial neural network and deep reinforcement learning

, 2019
Ma, Yan, Benton, Michael G., Romagnoli, Jose A.   +2 more
openalex   +1 more source