Results 211 to 220 of about 231,137 (293)
Generation of biophysical neuron model parameters from recorded electrophysiological responses. [PDF]
Kim J +4 more
europepmc +1 more source
Correction to “Nanocatalytic Neuroprotection and Neurological Recovery Post‐Traumatic Brain Injury”
Advanced Science, EarlyView.
wiley +1 more source
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source
A Wireless Implantable Closed-Loop Electrochemical Drug Delivery System. [PDF]
Wang ML +7 more
europepmc +1 more source
Abstract RETRACTION: J. Li, C. Tang, X. Zhang, R. Xing, and Q. Guo, “Histone Lactylation‐Driven Upregulation of VRK1 Expression Promotes Stemness and Proliferation of Glioma Stem Cells,” Advanced Science 12, no. 44 (2025): e03897, https://doi.org/10.1002/advs.202503897.
wiley +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Development of an efficient mid-field wireless power transmission system for biotelemetric IoT medical devices. [PDF]
Abbas N +4 more
europepmc +1 more source
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
Design and control of LCC DVR. [PDF]
Manju AS, Manitha PV, Nair MG, Joseph A.
europepmc +1 more source
Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar +5 more
wiley +1 more source

