Results 181 to 190 of about 2,805,831 (274)

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Immune Cell-Specific Regulatory Gene Prioritization in Low Back Pain Using Single-Cell eQTL-Informed Mendelian Randomization and Colocalization. [PDF]

J Pain Res
Tao G, Du H, Zeng Z, Yang P.
europepmc   +1 more source

MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genes. [PDF]

Bioinformatics, 2021
Sobczyk MK, Gaunt TR, Paternoster L.
europepmc   +1 more source

Nanomaterials for Allergy Diagnosis and Treatment: Advances, Opportunities and Translational Challenges

Advanced Science, EarlyView.
Nanomaterials offer dual applications in allergy management. For diagnosis, nanomaterials enhance analytical sensitivity and improve detection in specific IgE and functional assays such as the basophil activation test (BAT). For allergen‐specific immunotherapy, nanomaterials enable allergen masking and controlled release, and effectively modulate the ...
Madiha Habib, Shan Jiang, Joyce ZX Lee, CW Lim, HL Yeung, Nicki YH Leung, Patrick SC Leung, Ting F Leung, Christine YY Wai   +8 more
wiley   +1 more source

Optimizing gene prioritization for clinical diagnosis of metabolic genetic disorders. [PDF]

PLoS One
de Albuquerque BHDR, Lanza DCF.
europepmc   +1 more source

Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction

Advanced Science, EarlyView.
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen, Bapan Biswas, Apinya Ngoipala, Julia Wiktor, Ujjwal Pal, Shalini Singh   +5 more
wiley   +1 more source

Survey and improvement strategies for gene prioritization with large language models. [PDF]

Bioinform Adv
Neeley MB, Qi G, Wang G, Tang R, Mao D, Liu C, Pasupuleti S, Yuan B, Xia F, Liu P, Liu Z, Hu X.   +11 more
europepmc   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source

LA-MARRVEL: A Knowledge-Grounded, Language-Aware LLM Framework for Clinically Robust Rare Disease Gene Prioritization

Rare disease diagnosis requires matching variant-bearing genes to complex patient phenotypes across large and heterogeneous evidence sources. This process remains time-intensive in current clinical interpretation pipelines. To overcome these limitations,
Liu, Zhandong, Yao, Lin, Lee, Jaeyeon, Jeong, Hyun-Hwan   +3 more
core   +1 more source

Automating candidate gene prioritization with large language models: from naive scoring to literature-grounded validation. [PDF]

Bioinformatics
Khan T, Toufiq M, Yurieva M, Indrawattana N, Jittmittraphap A, Kosoltanapiwat N, Pumirat P, Sukphopetch P, Vanaporn M, Palucka K, Syed Ahamed Kabeer B, Rinchai D, Chaussabel D.   +12 more
europepmc   +1 more source