Results 261 to 270 of about 380,355 (349)

Proceedings of the 25th International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms

, 2014
Mireille Bousquet‐Mélou, Michèle Soria   +1 more
openalex   +1 more source

Cortico‐Striatal‐Midbrain Circuit Dysregulation Underlying MK‐801 Induced Impulsivity and the Ameliorative Effects of SEP

Advanced Science, EarlyView.
Impulsivity is a symptom across multiple psychiatric disorders, yet its neural basis remains elusive. This study shows that the NMDAR antagonist MK‐801 elevates dopamine release and disrupts neuronal selectivity in the nucleus accumbens, leading to impulsive behavior.
Xueru Wang, Qinyu Li, Zijie Li, Xuejiao Wang, Hui Yuan, Pingting Yang, Ling Qin   +6 more
wiley   +1 more source

Clinical outcome prediction in pediatric respiratory infections using hybrid feature selection and a genetic algorithm-optimized machine learning. [PDF]

Sci Rep
Madhalaimuthu S, Radhakrishnan S.
europepmc   +1 more source

CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single‐Cell Multi‐Omics

Advanced Science, EarlyView.
CellPhenoX is an explainable machine learning framework that identifies cell‐specific phenotypes and interaction effects from single‐cell omics data. By leveraging interpretable models, it enables robust discovery of cell‐level phenotypes that contribute to clinical outcomes.
Jade Young, Jun Inamo, Zachary Caterer, Revanth Krishna, Fan Zhang   +4 more
wiley   +1 more source

Comparing three algorithms of automated facial expression analysis in autistic children: different sensitivities but consistent proportions. [PDF]

Mol Autism
Manelis-Baram L, Barami T, Ilan M, Meiri G, Menashe I, Soskin E, Sofer C, Dinstein I.   +7 more
europepmc   +1 more source

A Replicable and Generalizable Neuroimaging‐Based Indicator of Pain Sensitivity Across Individuals

Advanced Science, EarlyView.
Humans differ in their sensitivity to pain. With six large and diverse fMRI datasets (total N = 1046), this study finds that such individual differences in pain sensitivity can be tracked by fMRI responses to painful stimuli. A highly generalizable machine learning model is further built to predict pain sensitivity across all datasets and analgesic ...
Li‐Bo Zhang, Xue‐Jing Lu, Hui‐Juan Zhang, Zhao‐Xing Wei, Ya‐Zhuo Kong, Yi‐Heng Tu, Gian Domenico Iannetti, Li Hu   +7 more
wiley   +1 more source

Single Cell and Spatial Transcriptomics Define a Proinflammatory and Profibrotic Niche After Kidney Injury

Advanced Science, EarlyView.
By integrating single‐cell RNA sequencing and spatial transcriptomics, tenascin C (TNC) is unveiled as a central organizer of the proinflammatory and profibrotic niche in kidney fibrosis. TNC promotes macrophage activation through TLR4/NF‐κB signaling, leading to renal inflammation and fibrosis.
Li Li, Jinlin Liao, Yuxi Zhang, Zifu Yao, Junxin Huang, Kejia Wu, Lu Li, Yiling Peng, Haili Zhu, Xue Hong, Xi Liu, Lili Zhou, Fan Fan Hou, Haiyan Fu, Youhua Liu   +14 more
wiley   +1 more source

GPU-accelerated simulated annealing based on p-bits with real-world device-variability modeling. [PDF]

Sci Rep
Onizawa N, Hanyu T.
europepmc   +1 more source

Vitiligo Signature‐Based Drug Screening Identifies Fulvestrant as a Novel Immunotherapy Combination Strategy

Advanced Science, EarlyView.
A vitiligo‐derived gene signature predicts response to immune checkpoint blockade across multiple cancer cohorts, providing a framework for patient stratification. Building on this, Fulvestrant—a clinically approved estrogen receptor degrader—further enhances antitumor immunity by reprogramming tumor‐associated macrophages and promoting CD8⁺ T cell ...
Jie Zhu, Liting Huang, Suzhen Bi, WeiKaixin Kong, Wanting Feng, Yingjia Li, Zhengwei Xie, Peipei Shan, Sujie Zhu   +8 more
wiley   +1 more source

Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS. [PDF]

BMC Bioinformatics
Blázquez-Sánchez M, Guerrero-López A, Candela A, Belenguer-Llorens A, Moreno JM, Sevilla-Salcedo C, Sánchez-Cueto M, Arroyo MJ, Gutiérrez-Pareja M, Gómez-Verdejo V, Olmos PM, Mancera L, Muñoz P, Marín M, Alcalá L, Rodríguez-Temporal D, Rodríguez-Sánchez B.   +16 more
europepmc   +1 more source