Results 221 to 230 of about 98,771 (295)
Causal-DRF: Conditional Kernel Treatment Effect Estimation using Distributional Random Forest
The conditional average treatment effect (CATE) is a commonly targeted statistical parameter for measuring the mean effect of a treatment conditional on covariates.
Näf, Jeffrey, Susmann, Herbert
core
We identified a Krt14+ Igf2bp1+ bladder cancer population linked to EMT. Mechanistically, KRT14 stabilizes and transports IGF2BP1 to invasive protrusions, initiating a positive feedback loop that drives metastasis and poor outcomes. ABSTRACT Basal‐type muscle‐invasive bladder cancer (BMIBC) is characterized by aggressive metastasis and poor prognosis ...
Shirui Huang +19 more
wiley +1 more source
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
Using causal machine learning and real world data to improve dose response decision making for secukinumab in psoriatic arthritis. [PDF]
Kiltz U +5 more
europepmc +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Geographic determinants of goods vehicle speeding in British cities. [PDF]
Chen L, Manley E.
europepmc +1 more source
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu +5 more
wiley +1 more source
On the Inclusion of Non-Concurrent Controls in Platform Trials With an Interim Analysis. [PDF]
Krotka P, Posch M, Bofill Roig M.
europepmc +1 more source
Tumor‐derived lactate activates PSCs through MCT1‐mediated Vps34 lactylation and autophagy. These activated PSCs secrete CXCL9/10, upregulating PD‐1 on CD8+ T cells via the CXCR3/STAT3 axis to foster immunosuppression. Disrupting this metabolic crosstalk by targeting MCT1 effectively sensitizes pancreatic cancer to PD‐1 blockade, presenting a promising
Wenfeng Zhuo +14 more
wiley +1 more source

