Results 251 to 260 of about 417,177 (325)
Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin+8 more
wiley +1 more source
SUMOylation of Warts kinase promotes neural stem cell reactivation. [PDF]
Gao Y+9 more
europepmc +1 more source
Advanced Time Series Data Processing Using Various Memristor‐Integrated Devices
Memristor‐based temporal kernels (TKs) offer compact, energy‐efficient solutions for real‐time time‐series processing in edge devices. This perspective outlines key TK architectures, compares them with conventional reservoir computing, and highlights their application in tasks such as health monitoring, authentication, and anomaly detection ...
Sung Keun Shim+9 more
wiley +1 more source
The neural stem cell gene PAFAH1B1 controls cell cycle progression, DNA integrity, and paclitaxel sensitivity of triple-negative breast cancer cells. [PDF]
Majmudar PR, Keri RA.
europepmc +1 more source
Coherent anti‐stokes Raman spectroscopy (CARS) enables high‐resolution vibrational imaging, yet non‐resonant background (NRB) distorts spectral fidelity. This review highlights NRB removal methods—from experimental strategies and numerical algorithms to emerging deep learning techniques.
Rajendhar Junjuri, Thomas Bocklitz
wiley +1 more source
Neural stem cell epigenomes and fate bias are temporally coordinated during corticogenesis
Shapira Y+6 more
europepmc +1 more source
Therapeutic Potential of Injectable Supramolecular Hydrogels With Neural Stem Cell Exosomes and Hydroxypropyl Methylcellulose for Post-Stroke Neurological Recovery. [PDF]
Zhang Q+5 more
europepmc +1 more source
Clinical Challenges in Soft Robotics
This review explores the exciting field of soft robots for medical applications. It delves into the critical challenges facing their development, including material selection, cytotoxicity, and locomotion limitations. The review then examines promising avenues for overcoming these hurdles and achieving clinical translation.
Kailas Mahipal Malappuram+3 more
wiley +1 more source