Results 211 to 220 of about 1,143,028 (268)
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
ABSTRACT The transformation/transcription domain‐associated protein (TRRAP) gene encodes a large multidomain protein, a member of the phosphatidylinositol 3‐kinase‐related kinase (PIKK) family. TRRAP is a component of the histone acetyltransferase (HAT) complex, and it plays an important role in gene transcription, DNA repair, and cell‐cycle regulation.
Roseli Maria Zechi‐Ceide +10 more
wiley +1 more source
Zebrafish and CRISPR—A synergistic approach to decipher and cure human diseases
Zebrafish, with high genetic homology to humans, serves as a powerful vertebrate model for disease modeling and drug discovery. Integration of CRISPR/Cas9 technology enables precise genome editing, facilitating the development of translational models for human diseases.
Manikandan Sivaprakasam +4 more
wiley +1 more source
Animal models of chronic thromboembolic pulmonary hypertension
Current animal models of CTEPH. Created using BioRender.com. Abstract Chronic thromboembolic pulmonary hypertension (CTEPH) is a rare, yet life‐threatening disorder characterized by persistent pulmonary vascular obstruction and elevated pulmonary artery pressure, with progressive remodeling and subsequent right heart failure.
Yong‐Jian Zhu +5 more
wiley +1 more source
Equine models in translational medicine: A comparative approach to human health
This diagram summarizes and contrasts rodent and equine models, outlining their strengths, limitations, and applications. Horses offer naturally occurring diseases, genetic and physiological similarities to humans, and suitability for longitudinal and clinical‐scale studies.
Shayan Boozarjomehri Amnieh +1 more
wiley +1 more source
Stereoselective Biotransformation: Transfer of Learning to Advance Drug Metabolism and Biocatalysis
Understanding stereoselective biotransformations has implications for predicting drug disposition and response and may also inspire novel biocatalytic and biomimetic strategies to address challenges in metabolite and API synthesis. ABSTRACT Chirality is an important determinant of drug action, as enantiomers can exhibit markedly different ...
Grace A. Okunlola, Godwin A. Aleku
wiley +2 more sources
Research progress in animal models of dry eye disease: Types, mechanisms, and application prospects
Pivotal multifactorial animal models for translational dry eye disease research. Abstract Dry eye disease (DED) is a prevalent and complex multifactorial ocular surface disorder, leading to significant visual discomfort and diminished quality of life.
Jinshen Liu +12 more
wiley +1 more source

