Results 231 to 240 of about 69,679 (307)
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
A Novel Chronic Psoriasis Mouse Model via Optimized Imiquimod Dosing and Machine Learning Evaluation. [PDF]
Zhu H +9 more
europepmc +1 more source
All‐Flex Plasma Patch for In Vivo Delivery of Reactive Species
A fully flexible plasma patch enables stable, conformal treatment on complex biological surfaces and enhances transdermal delivery of reactive species. This platform achieves significant tumor suppression in vivo and reveals coordinated regulation of calcium signaling, metabolism, and programmed cell death, providing a promising strategy for safe and ...
Luxiang Zhao +8 more
wiley +1 more source
Machine learning-based typing of <i>Clostridium botulinum</i> group III by FT-IR spectroscopy. [PDF]
Drigo I +8 more
europepmc +1 more source
A novel nanocomposite design strategy utilizes ZrO2 to intrinsically couple passive daytime radiative cooling and triboelectric functionality within a single material platform. Fabricated via direct ink writing, the multifunctional breathable architecture provides effective sub‐ambient cooling, motion‐driven energy harvesting, and adaptive ...
Yoon Young Choi +3 more
wiley +1 more source
Deep learning-based segmentation and density estimation of corneal nerves and dendritic cells from In Vivo confocal microscopy images. [PDF]
Ji M +8 more
europepmc +1 more source
Multivector model predictive control for multiphase induction machines with dead-time knowledge. [PDF]
Carrillo-Rios J +7 more
europepmc +1 more source
A dual-mode dual-stator hybrid rotor synchronous and vernier machine for variable speed applications. [PDF]
Ali S, Ali Q, Munir HM, Zidan HA.
europepmc +1 more source
A robust machine learning approach for DC bias prediction in DCO-OFDM based Li-Fi systems. [PDF]
Salman M, Siddle D, Gao Y.
europepmc +1 more source

