Results 291 to 300 of about 5,876,040 (331)

Integrating differential privacy in deep reinforcement learning for sepsis treatment with pulmonary implications. [PDF]

Front Med (Lausanne)
Wang S, Yang F, Wang S, Sun R.
europepmc   +1 more source

AntiBMPNN: Structure‐Guided Graph Neural Networks for Precision Antibody Engineering

Advanced Science, EarlyView.
AntiBMPNN, a deep learning framework that integrates antibody‐specific 3D data, MPNN, frequency‐based scoring, and AlphaFold 3, achieves superior antibody sequence design. In most cases, it outperforms ProteinMPNN, AntiFold, and AbMPNN in CDR design, demonstrating higher binding affinities and sequence recovery.
Ze‐Yu Sun, Jiayi Yuan, Divya Jaiswal, Jingxuan Ge, Tianjian Liang, Jiahui Wei, Jinghong Cao, Yulong Li, Xiaojie Chu, Yan Chen, Ying Xue, Wei Li, Tingjun Hou, Zhiwei Feng   +13 more
wiley   +1 more source

A Primer on Reinforcement Learning in Medicine for Clinicians. [PDF]

NPJ Digit Med
Jayaraman P, Desman J, Sabounchi M, Nadkarni GN, Sakhuja A.   +4 more
europepmc   +1 more source

Critical Electrochemistry Technologies Applicable in Space Exploration

Advanced Science, EarlyView.
The available resources in space and discuss the application scenarios and challenges of electrochemical methods in four critical domains is analyzed: metallurgical processing of mineral resources, water resources utilization, carbon cycle management in extraterrestrial habitats, and electrical energy storage.
Ruisi Xu, Zepeng Lv, Shaolong Li, Jilin He, Jianxun Song   +4 more
wiley   +1 more source

Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection. [PDF]

Sensors (Basel)
Roos-Hoefgeest S, Roos-Hoefgeest M, Álvarez I, González RC.   +3 more
europepmc   +1 more source

ChromInSight: Revealing DNA Double‐Strand Breaks Through Chromatin Structural Insights With an Interpretable Graph Neural Network Framework

Advanced Science, EarlyView.
DSBs are the most critical genomic lesions. Using the ChromInSight framework, It is revealed that 3D chromatin structure, rather than linear distance, shapes cluster‐scene between hub‐Nodes and DSB loci. The “spatial isolation–damage containment” hypothesis is proposed to illustrate how the genome responds to genomic damage and offer a powerful tool ...
Kang Xu, Zongyuan Yu, Canzhuang Sun, Conglin Gou, Jiangyue Zhu, Jun Wang, Xiaochen Bo, Guoxian Yu, Hao Li, Hebing Chen   +9 more
wiley   +1 more source

Integrating Reinforcement Learning into M/M/1/K Retry Queueing Models for 6G Applications. [PDF]

Sensors (Basel)
Talbi D, Gal Z.
europepmc   +1 more source

Smart Electric Vehicle Charging Management Using Reinforcement Learning on FPGA Platforms. [PDF]

Sensors (Basel)
Damodarin UM, Cardarilli GC, Di Nunzio L, Re M, Spanò S.   +4 more
europepmc   +1 more source

An opponent striatal circuit for distributional reinforcement learning. [PDF]

Nature
Lowet AS, Zheng Q, Meng M, Matias S, Drugowitsch J, Uchida N.   +5 more
europepmc   +1 more source