Results 181 to 190 of about 167,661,566 (258)

Galactokinase 1 Positively Regulates Mitochondrial Respiration by Phosphorylating TIMM13 as a Protein Kinase

Advanced Science, EarlyView.
GALK1 acts as a protein kinase beyond the phosphorylation of galactose. GALK1 phosphorylates TIMM13 at Y73 in the cytoplasm. This phosphorylation prevents premature oxidative folding of TIMM13 and ensures its entrance into the intermembrane space of mitochondrion, positively regulating mitochondrial respiration.
Chang Woo Ko, Dongyoon Shin, Junho Park, June Huh, Youngsoo Kim, Jong‐Wan Park   +5 more
wiley   +1 more source

Proceso de ASC - PREDICTING COLOMBIAN SOVEREIGN DEFAULT PROBABILITY USING MACHINE LEARNING

El propósito de esta investigación es utilizar una muestra para predecir la probabilidad de default del gobierno colombiano, mediante técnicas de machine learning que buscan crear algoritmos de predicción.
Galeano, Juan, Mena, Luis, Cortés, Lina M, Mosquera, Stephania   +3 more
core  

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

Predicting <i>Helicobacter pylori</i> Antibiotic Resistance from Routine Hematoxylin and Eosin Histopathology Using a Vision-Language Model-Guided Foundation Model Framework. [PDF]

Infect Drug Resist
Xiong S, Liu S, Zhang W, Liao D, Tang T, Zeng C, Guo 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

A Global and Local SHAP-Driven Interpretable Framework for Early Hospital Admission Prediction With Machine Learning at Emergency Department Triage. [PDF]

Cureus
Brown AE, Marostica CW, Hodgson NR, Martini WA.   +3 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

Deep learning-assisted malaria microscopy with sensitivity-aware threshold optimization. [PDF]

Front Med (Lausanne)
Dehbi F, Hamou RM, Brahami M, Shaaban S, Ghoul A, Latreche A, Djeffal S.   +6 more
europepmc   +1 more source

Dual Randomness From Spatial and Temporal Variations in Stochastic Zinc Gallate Nanoclusters for PUF and TRNG Co‐Driven Image Generation

Advanced Science, EarlyView.
A dual‐randomness hardware platform is demonstrated by integrating PUF and TRNG functionalities into mixed‐ZGO nanoclusters. By leveraging spatial and temporal stochasticity, the mixed‐ZGO NCs device enables both unique identification and random signal generation.
Seungme Kang, Wangmyung Choi, Jueun Lee, Yeong Kwon Kim, Byung Chul Jang, Wonjun Shin, Hocheon Yoo   +6 more
wiley   +1 more source

AI agents are sensitive to nudges. [PDF]

Proc Natl Acad Sci U S A
Cherep M, Maes P, Singh N.
europepmc   +1 more source