Results 131 to 140 of about 51,190 (253)

Benchmarking single-cell tumor immune atlases and application for uncovering cell states related to immunotherapy response. [PDF]

Genome Biol
Yang J, Shyr Y, Liu Q.
europepmc   +1 more source

GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs

AIChE Journal, EarlyView.
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin, Artur M. Schweidtmann   +1 more
wiley   +1 more source

Functional anisotropy of the elephant trunk skin: A biological blueprint for grasping, protection, and tactile sensing. [PDF]

PNAS Nexus
Lo Preti M, Dagenais P, Kamare B, Bernardeschi I, Lantean S, Milinkovitch M, Beccai L.   +6 more
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

DNA Methylation Variation in Blood Cells may Impact Platelet Function. [PDF]

TH Open
Teichman J, Chen MH, Thibord F, Chan MV, Nkambule BB, Lachapelle AR, Ma J, Joehanes R, Liu C, Aponte AM, Panicker SR, Kanthi Y, Levy D, Johnson AD.   +13 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Strengthening the global mental health workforce through collaborative education. [PDF]

World Psychiatry
Skokauskas N, Gray B, Chaimowitz G, El-Gabry DA, Fiorillo A, Lachman A, Lopez Geist A, Robertson P, Yoo HJ, Leventhal BL.   +9 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Characteristics of a multigene assay (MammaPrint/Blueprint) to predict early recurrence of hormone receptor-positive, HER2-negative breast cancer: a case‒control study (WJOG16722B). [PDF]

Breast Cancer
Watanuki R, Sakai H, Kimura Y, Yoshida A, Ozaki Y, Kataoka A, Uehiro N, Fushimi A, Kamio H, Ikeno T, Wakabayashi M, Iida M, Kawaguchi T, Tsurutani J, Takano T.   +14 more
europepmc   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source