Results 161 to 170 of about 265,447 (256)

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

Causal Forests in Practice: Lessons on Detecting Heterogeneous Treatment Effects in a Randomized Controlled Trial of a Healthy Food Subsidy Program in Canada. [PDF]

J Nutr
Aktary ML, Lalani I, Chen Y, Shakeri Z, McCormack GR, Dunn S, Sajobi T, O'Hara H, Leblanc P, Godley J, Doan N, Lee Olstad D.   +11 more
europepmc   +1 more source

Palmitoylation of PSD‐95 Orchestrates Learning‐Dependent Metaplasticity in the Amygdala and Fear Memory

Advanced Science, EarlyView.
This study reveals that fear learning specifically triggers PICK1/DHHC2‐dependent palmitoylation of PSD‐95 in the lateral amygdala. Fear conditioning induces the dissociation of DHHC5 from PSD‐95 and the association of PSD‐95 with DHHC2. DHHC2‐mediated palmitoylation of PSD‐95 is required for synaptic transmission and underlies fear learning–induced ...
Zu‐Cheng Shen, Yu‐Xuan Weng, Zhi‐Xuan Xia, Yue‐Ling Zhao, Qian‐Qian Ding, Si‐Ying Wang, Ting Cao, Xuan‐Ying Chen, Wu‐Cheng Tao, Shen Lin, Zhou Chen, Yi‐Xiao Luo   +11 more
wiley   +1 more source

Global Warming and Dispersal Limitations Drive the Suitable Habitat Distribution of <i>Castanopsis indica</i>, <i>Castanopsis hystrix</i>, <i>Schima wallichii</i> Forest in China. [PDF]

Plants (Basel)
Zhang H, Bian Z, Ji X, Wang Z, Liu Z.
europepmc   +1 more source

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park, Myeongcho Jang, Hun‐Gi Jung, Kyung Yoon Chung, Seungho Yu   +4 more
wiley   +1 more source

Evaluating volleyball interventions for enhancing physical fitness in healthy individuals: a systematic review and meta-analysis. [PDF]

Front Sports Act Living
Mao Y, Soh KG, Siswantoyo, Wang X.
europepmc   +1 more source

Lactate‐Driven Restriction of Mitochondrial Permeability Transition Promotes Resistance to Chemo‐Immunotherapy by Suppressing Tumor PANoptosis

Advanced Science, EarlyView.
Tumor‐derived lactate establishes a metabolic lock that drives chemo‐immunotherapy resistance by suppressing PANoptosis. Mechanistically, KAT8 lactylates the mitochondrial translocator ANT2, which recruits PGAM5 to dephosphorylate CypD. This cascade restricts mitochondrial permeability transition pore opening, preventing pro‐inflammatory mtDNA leakage.
Sen Zhong, Wenlong Chen, Fanglong Liu, Shengyi Zhou, Bolin Yu, Yuying Wang, Xiqian Zhou, Xuehui Wang, Diya Liu, Zhuoyu Zhang, Xinran Wang, Mounia Lalouly, Yiwen Li, Zhefei Du, Tao Yan, Zhihui Xiao, Zhou Zhou, Huanhuan Zhu, Fengyuan Qian, Bowen Zheng, Lin Fang   +20 more
wiley   +1 more source

High Tree Species Diversity Promotes Thermal Enhancement Response of Microbial Carbon Use Efficiency

Advanced Science, EarlyView.
ABSTRACT Predicting soil carbon dynamics under warming is constrained by limited understanding of microbial thermal adaptation, particularly whether microbial carbon use efficiency (CUE) can adapt to warming and how plant diversity modulates this response. Using soils from a natural tree species diversity gradient in a subtropical forest, we combined a
Pengpeng Duan, Changqing Ye, Xinyi Yang, Chaoqun Wang, Wolfgang Wanek, Jian‐sheng Ye, Hongzhao Yuan, Hu Du, Kongcao Xiao, Xunyang He, Kelin Wang, Dejun Li   +11 more
wiley   +1 more source

Predicting asthma prevalence across US communities by integrating social vulnerability and environmental risk with machine learning. [PDF]

J Allergy Clin Immunol
Nguyen TH, Alsulami S, Pham TT, Story D, Hauptman M, Phipatanakul W.   +5 more
europepmc   +1 more source