Results 241 to 250 of about 1,346,642 (294)

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Filling the gap: artificial intelligence-driven one health integration to strengthen pandemic preparedness in resource-limited settings. [PDF]

Front Public Health
Mukherjee D, Sagar K, Kobialka RM, Ghosh P, Weidmann M, Savareh BA, Joardar SN, Truyen U, Abd El Wahed A, Ceruti A.   +9 more
europepmc   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

An XGBoost-SHAP analysis of the driving factors of carbon emissions in China's first-tier cities. [PDF]

Sci Rep
Li Y, He Y, Yang F, An H, Li J, Xie Y.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Prioritising opportunities to strengthen the maternal, newborn, and child health research ecosystem in Ethiopia: a Delphi exercise. [PDF]

J Glob Health
Taddesse L, Korte ML, Hunegnaw BM, Teklie H, Bekele D, Tolera G, Zelalem M, Chan GJ.   +7 more
europepmc   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
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

'In this era, the digital era, telehealth is a tool that we can use to provide specialized care': a qualitative evaluation of the implementation of programmes that use digital health to improve antenatal care in rural and jungle areas of Honduras and Peru. [PDF]

BMJ Public Health
Capasso A, Alcalde Valdivia CO, Barrientos Mejía PJ, Chávez Núñez M, Ayala A, Flores Oviedo RM, Fernandez G, Moreno IL, Ramos F, Cruz Vilcarromero NL, Blass Y, Zumaeta Villavicencio MA, Canta Zumaeta L, Muñoz Vargas CC, López Puicón JB, Pizarro Mendoza L, Talavera Romero IL, Serruya S, de Mucio B, Colomar M.   +19 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source