Results 151 to 160 of about 7,625,042 (246)

Canadian Metadata Catalogue for Health Science Research. [PDF]

Int J Popul Data Sci
Garland A, Dodek P, Thavorn K, Wissa R, Sligl W, Marleau W, Wilcox ME, Isabel Fortier, for the Sepsis Canada Network.   +8 more
europepmc   +1 more source

A Generalizable Multimodal Model for Treatment‐Stratified Risk and Survival Assessment under Real‐World Constraints: A Multi‐Center Study of Colorectal Cancer

Advanced Science, EarlyView.
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao, Zheyi Ji, Chang He, Jiying Wang, Xiaoming Luo, Junyi Liu, Xiaohu Jing, Fang Yan, Yirong Chen, Linhao Qu, Sen Yang, Le Lu, Yuming Jiang, Xiyue Wang, Chengyun Dou, Junhan Zhao   +15 more
wiley   +1 more source

Beyond Blind Trust in Hospital Data Warehouses: Evaluating Real-World Data Accountability. [PDF]

Learn Health Syst
Morohashi A, Yamashita S, Imaizumi T, Sano T, Kuwatsuka Y, Ando M, Shiratori Y.   +6 more
europepmc   +1 more source

Computational and Data‐Driven Strategies for Lignocellulosic Biomass Valorization: From Multiscale Modeling to Digitalized Biorefinery Design

Advanced Science, EarlyView.
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar, Jiaxian Zheng, Xiangfeng Lin, Hongwu Liao, Haoqian Xu, Yufei Huang, Zaharaddeen Nasiru Garba, Adamu Uzairu, Weiwei Zhao, Zhanhui Yuan   +9 more
wiley   +1 more source

From manual entry to machine precision: challenges and evolution of metadata schema development in collaborative research centers. [PDF]

BMC Res Notes
Engel F, Giuliani C, Watter M, Kalantari A, Schuller K, Binder H, Kaier K.   +6 more
europepmc   +1 more source

Single‐Nucleus Transcriptomic Atlas of Human Vellus Hair Pilosebaceous Units Reveals Age‐Associated Remodeling

Advanced Science, EarlyView.
Human vellus pilosebaceous units (PSUs) remain uncharted. This single‐nucleus atlas reveals coordinated remodeling of the aging PSU niche: reduced bulge stem cell representation with altered regenerative programs, increased representation of a stress‐responsive channel+ epithelial state, enhanced androgen‐responsive sebaceous programs, reduced ...
Ya'nan Li, Zhuoqiong Qiu, Xiaoyu Pan, Geyang Xu, Shanshan Peng, Ronghui Zhu, Qiuyang Luo, Xiaokai Fang, Xu Yao, Wei Li   +9 more
wiley   +1 more source

Integrating Heterogeneous Real-World Cancer Data for Semantic Interoperability in Oncology and Medical Imaging: Development and Validation of the Cancer Image Europe Hyperontology. [PDF]

J Med Internet Res
El Ghosh M, Kalokyri V, Bobowicz M, Sambres M, Vaterkowski M, Giraldo O, Charlet J, Fournier L, Duclos C, Tannier X, Tsakou G, Tsiknakis M, Dhombres F, Daniel C.   +13 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Computational metabolomics at scale: from open data to insight. [PDF]

Curr Opin Biotechnol
Mathé EA, van der Hooft JJ, Chatelaine H, Nothias LF, Reinke SN, Vizcaíno JA, Willighagen EL, Ebbels TM, Hassoun S.   +8 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source