Results 211 to 220 of about 2,903,116 (358)

Small Extracellular Vesicles Orchestrate Cisplatin‐Induced Ototoxicity: Potential Biomarker and Targets Discovery

Advanced Science, EarlyView.
Cisplatin causes reactive oxygen species accumulation, leading to apoptosis and inflammation in cochlear hair cells. Small extracellular vesicles primarily derived from the damaged hair cells likely contribute to cisplatin‐induced ototoxicity, carrying a variety of microRNAs and proteins.
Jingru Ai, Shasha Zhang, Mingchen Dai, Pei Jiang, Jingyuan Huang, Hairong Xiao, Yanqin Lin, Xujun Tang, Wei Tong, Jun He, Qiuyue Mao, Yintao Wang, Zixuan Ye, Tian Wang, Renjie Chai   +14 more
wiley   +1 more source

The Formal EU-US Meniscus Rehabilitation 2024 Consensus: An ESSKA-AOSSM-AASPT Initiative: Part I-Rehabilitation Management After Meniscus Surgery (Meniscectomy, Repair and Reconstruction). [PDF]

Orthop J Sports Med
Pujol N, Giordano AO, Wong SE, Beaufils P, Monllau JC, Arhos EK, Becker R, Della Villa F, Goodloe JB, Irrgang JJ, Klugarova J, Klosterman EL.   +11 more
europepmc   +1 more source

General and efficient decentralized consensus protocols II

, 1988
Jean‐Claude Bermond, Jean‐Claude König   +1 more
openalex   +1 more source

Heart Rhythm Society Expert Consensus Statement on Electrophysiology Laboratory Standards: Process, Protocols, Equipment, Personnel, and Safety

, 2014
David E. Haines, Salwa Beheiry, Joseph G. Akar, Janice Baker, Doug Beinborn, John F. Beshai, Neil Brysiewicz, Christine Chiu-Man, Kathryn K. Collins, Matthew Dare, Kenneth A. Fetterly, John D. Fisher, Richard Hongo, Samuel A. Irefin, John O. Lopez, John M. Miller, James C. Perry, David J. Slotwiner, Gery Tomassoni, Esther M. Weiss   +19 more
openalex   +1 more source

Fully Automated Deep Learning Enabled Miniature Mass Spectrometry System for Psychoactive Therapeutic Drug Monitoring

Advanced Science, EarlyView.
This study presents a fully automated miniature mass spectrometry system for high‐throughput therapeutic drug monitoring. Integrating magnetic solid‐phase extraction, self‐aspiration sampling miniature mass spectrometer, and U‐net deep learning quantitative algorithm, it achieves rapid (8 samples/30 min), precise (R2 > 0.99, RSD < 10%), and portable ...
Yuanhao Zhou, Jiawen Ai, Zi Ye, Kexin Chen, JingXiong Lin, Zhenhua Zhang, Mi Luo, Benjie Zhou, Shijian Xiang, Jianhua Zhou, Xinming Huo   +10 more
wiley   +1 more source

BOOTStrap-SCI: Beyond One option of treatment for spinal trauma and spinal cord injury: Consensus-based stratified protocols for pre-hospital care and emergency room (part I). [PDF]

Brain Spine
Marchesini N, Demetriades AK, Alves O, Dange RM, Choco HM, Lozada ED, Figueredo Sanabria DJ, Gamboa A, Mendoza Victoria LL, Montealegre EN, Pardo Carranza JA, Quintero JV, Rubiano AM, BOOTStraP-SCI Study Group.   +13 more
europepmc   +1 more source

Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture

Advanced Science, EarlyView.
This article reviews the current system architectures for smart agriculture and proposes a blockchain‐empowered hierarchical cyber‐physical system (H‐CPS) framework. It discusses the challenges and outlines future research directions, including the use of semantic blockchain to handle complex data and models.
Xiaoding Wang, Qibin Wu, Haitao Zeng, Xu Yang, Hui Cui, Xun Yi, Md. Jalil Piran, Ming Luo, Youxiong Que   +8 more
wiley   +1 more source

Quantum-assisted trustworthiness for the Quantum Internet. [PDF]

PLoS One
Zaballos A, Mallorquí A, Navarro J.
europepmc   +1 more source

Creation of an Enhanced Recovery After Surgery (ERAS) Guideline for neonatal intestinal surgery patients: a knowledge synthesis and consensus generation approach and protocol study [PDF]

, 2018
Ashleigh C N Gibb, Megan A Crosby, Caraline McDiarmid, Denisa Urban, Jennifer Lam, Paul W. Wales, Megan A. Brockel, Mehul V. Raval, Martin Offringa, Erik D. Skarsgard, Tomas Wester, Kenneth K. Wong, David de Beer, Gregg Nelson, Mary E. Brindle   +14 more
openalex   +1 more source

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

Advanced Science, EarlyView.
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma   +8 more
wiley   +1 more source