Results 171 to 180 of about 716,263 (297)
Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
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 +4 more
wiley +1 more source
Machine Learning in Adolescent Mental Health: Advanced Comorbidity Analysis and Text Mining Insights. [PDF]
Healthcare (Basel)Patsiala D +5 more
europepmc +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
Advanced Intelligent Discovery, EarlyView.This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Differentiating between data-mining and text-mining terminology
South African Journal of Information Management, 2004 J.H. Kroeze, M.C. Matthee, T.J.D. Bothma
doaj +1 more source
Text Mining of Symptom Descriptions in the Vaccine Adverse Event Reporting System for Human Papillomavirus Vaccination. [PDF]
CureusShiota K +7 more
europepmc +1 more source
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 +3 more
wiley +1 more source
Medical students' perceptions of professional mission in an AI-driven healthcare future: a text mining analysis of reflective essays in Japan. [PDF]
J Rural MedKomasawa N, Yokohira M.
europepmc +1 more source
Ontology Based Text Mining Framework for Vulnerability Assessment in Health and Social Care
, 2019 Jamilah Nasution +99 more
openalex +1 more source