Results 221 to 230 of about 1,980,897 (317)

qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness

Advanced Science, EarlyView.
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang, Ziyan Zhang, Swee Hong Ng, Haipeng Gong   +3 more
wiley   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications. [PDF]

Microsc Res Tech
Lahari PV, Dutta S, Deeksha H, Patel SA, Dehury B, Mazumder N.   +5 more
europepmc   +1 more source

PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction

Advanced Science, EarlyView.
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley   +1 more source

Enhanced swin transformer with dual attention for knee osteoarthritis severity grading from X-ray images. [PDF]

Sci Rep
Sudha K, Rajiv Kannan A.
europepmc   +1 more source

Transformer‐Based Multitask Framework Integrating Habitat and Deep Learning for Predicting Early Disease Control and Survival in Immunotherapy‐Treated Hepatocellular Carcinoma

Advanced Science, EarlyView.
This study developed ECOS‐Net, a transformer‐based multitask framework integrating CT‐derived habitat and 2.5D deep learning features to simultaneously predict early disease control and overall survival in hepatocellular carcinoma patients treated with immune checkpoint inhibitors.
Xiaona Fu, Yusheng Guo, Bingxin Gong, Jie Lou, Ning Wang, Xuejun Chen, Hongtao Hu, Rundong Wang, Xiaofang Guo, Shanmei Li, Yangyang Xie, Shichao Long, Mengsi Li, Shubo Pan, Wen Shen, Zhaogang Zhang, Zifang Song, Pengchen Liang, Xiaoyun Liang, Peng Sun, Guilin Zhang, Shanshan Jiang, Jinxiang Zhang, Lian Yang   +23 more
wiley   +1 more source

Acute deep neck infection MRI: deep learning segmentation and clinical relevance of retropharyngeal edema volume. [PDF]

Eur Radiol Exp
Viertonen VS, Sirén A, Nyman M, Huhtanen H, Klén R, Hirvonen J, Rainio O.   +6 more
europepmc   +1 more source

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

Advanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong, Qin Luo, Xinyi Ding, Chaoqi Lu, Ru Zhang, Qingqing Tan, Zhiqing Pang, Defang Ouyang, Dongsheng Li, Jiaxuan Xia, Jianxin Wang   +10 more
wiley   +1 more source

Machine Learning in Single-Molecule Tracking Analysis of Superresolution Optical Microscopy Data. [PDF]

Cells
Saavedra LA, Barrantes FJ.
europepmc   +1 more source

Inhibition of MEKK3 Prevents Cerebral Cavernous Malformation Progression Via Restoring Endothelial Integrity and Restricting Microglial Activation

Advanced Science, EarlyView.
In this study, we demonstrate that aberrant MEKK3 signaling in endothelial cells and microglia drives the progression of cerebral cavernous malformations (CCMs). Furthermore, we identify DPDH as a potent small‐molecule MEKK3 inhibitor with substantial therapeutic potential for CCM treatment.
Weiwei Zheng, Suyun Yu, Liwenyu Chen, Jing Ma, Peiliang Shen, Chang Yu, Xiaoqing Xin, Qiuhong Shen, Jing Chen, Song Ke, Hao Liu, Xiaobing Jiang, Ruogu Qi, Juming Yan, Jia Li, Jaesung P. Choi, Yin Lu, Yang Zhao   +17 more
wiley   +1 more source