Results 281 to 290 of about 6,178,397 (360)
An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan +4 more
wiley +1 more source
Machine learning for personalized antimicrobial susceptibility breakpoints [PDF]
Yinzheng Zhong +7 more
openalex +1 more source
Nanozymes Integrated Biochips Toward Smart Detection System
This review systematically outlines the integration of nanozymes, biochips, and artificial intelligence (AI) for intelligent biosensing. It details how their convergence enhances signal amplification, enables portable detection, and improves data interpretation.
Dongyu Chen +10 more
wiley +1 more source
Trojan Horse Strategy: How Biomimetic Nanomedicine Remodels the Tumor Microenvironment
This review focuses on biomimetic nanomedicines for tumor microenvironment (TME) remodeling, covering their diverse biomimetic types, design principles, and mechanisms of immune cell reprogramming and reversal of immunosuppressive microenvironments, with particular emphasis on their application in synergistic immunotherapy.
Wanrong Wang +7 more
wiley +1 more source
Multi-modal AI in precision medicine: integrating genomics, imaging, and EHR data for clinical insights. [PDF]
Khan SN +4 more
europepmc +1 more source
Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley +1 more source
Abstract Building upon the integrative framework of tendinopathy proposed by Gehwolf et al.—which elegantly connects mechanical stress, inflammation, and vascularity—this commentary extends the discussion by introducing novel mechanistic insights and future research directions that move beyond the established triad. A paradigm shift is proposed ...
DuJiang Yang +3 more
wiley +1 more source
Personalized prediction of post-SMILE refractive outcomes using a machine-learning nomogram. [PDF]
Zhai J, Hu M, Tan Q, Long Z, Wang H.
europepmc +1 more source

