Results 111 to 120 of about 12,092,915 (236)

Hierarchical Semi-Bayes Methods for Misclassification in Perinatal Epidemiology. [PDF]

Epidemiology, 2018
MacLehose RF, Bodnar LM, Meyer CS, Chu H, Lash TL.   +4 more
europepmc   +1 more source

Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae

Advanced Science, EarlyView.
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch, Muhammad D. Ariadi, Min Jung Kwun, Leonie Howells, Saiveth Hernandez‐Hernandez, Nicholas J. Croucher, Pedro J. Ballester   +6 more
wiley   +1 more source

Bootstrapping and Empirical Bayes Methods Improve Rhythm Detection in Sparsely Sampled Data. [PDF]

J Biol Rhythms, 2018
Hutchison AL, Allada R, Dinner AR.
europepmc   +1 more source

Engineering Ultrastable Intrinsic Radicals: Graphene Quantum Dots With NIR‐II Emission for Dynamic Deep‐Tissue Bioimaging

Advanced Science, EarlyView.
Stable radicals are attractive for photonic and quantum information technologies but are often limited by instability. We stabilize intrinsic radicals in graphene quantum dots via 2D polymerization of perylene derivatives, where bilayer defect confinement suppresses quenching (100–500 K).
Qin Xu, Yijie Hou, Bingzhe Wang, Tesen Zhang, Yupeng Liu, Shuaiqi Li, Maohua Chen, Guichuan Xing, Dongbo Guo, Songnan Qu   +9 more
wiley   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

Fast Catalog Matching for Improved Posteriors via Constrained Clustering

The Astronomical Journal
We propose a novel approximate method for the probabilistic catalog matching problem that provides better solutions than previously used heuristics and scales well for large real-world applications.
Jacob Feitelberg, Tamás Budavári, Amitabh Basu   +2 more
doaj   +1 more source

Detection of dechallenge in spontaneous reporting systems: a comparison of Bayes methods. [PDF]

Indian J Pharmacol, 2014
Banu AB, Alias Balamurugan SA, Thirumalaikolundusubramanian P.   +2 more
europepmc   +1 more source

Deciphering the Crystallinity‐Dependent Sensitivity of Charge Injection in n‐Channel Organic Transistors: Reliable Characterization and Optimized Performance

Advanced Science, EarlyView.
Precise characterization of n‐type organic semiconductors necessitates decoupling interfacial constraints from intrinsic charge transport. This work reveals that disordered polymers are particularly vulnerable to contact‐limited bottlenecks compared to their crystalline counterparts.
Walid Boukhili, Chan Zhang, Jianeng Ma, Changwoo Yu, Chee Leong Tan, Huabin Sun, Zhihao Yu, Guangan Yang, Xiang Wan, Li Zhu, Yong Xu, Liyang Yu, Ruipeng Li, Seung‐Hoon Lee, Zhuping Fei, Dongyoon Khim   +15 more
wiley   +1 more source

Bayes Linear Variance Learning for Mixed Linear Temporal Models [PDF]

, 2012
Modelling of complex corroding industrial systems is ritical to effective inspection and maintenance for ssurance of system integrity. Wall thickness and corrosion rate are modelled for multiple dependent corroding omponents, given observations of ...
RANDELL, DAVID
core  

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source