Detection of breast cancer using machine learning and explainable artificial intelligence
Dataset description This paper used the “UCTH Breast Cancer Dataset” for machine learning analysis. The patient data was…
AI identifies novel gene variants linked to Alzheimer’s risk
New AI-driven research reveals how advanced machine learning models not only confirm known Alzheimer’s genes but also spot…
Quantitative evaluation of methods to analyze motion changes in single-particle experiments
Datasets and ground truth In order to benchmark the different methods on data with a known ground truth,…
Machine learning in Alzheimer’s disease genetics
School of Medicine, Cardiff University, Cardiff, UK Matthew Bracher-Smith, Julie Williams, Nicola Denning, Alun Meggy & Valentina Escott-Price Centre for Neuropsychiatric Genetics and…
How travel marketers can navigate AI evolution of search
Artificial intelligence (AI) has snaked its way into every corner of the travel industry—as well as most of…
AI reshapes ARDS care by predicting risk, guiding ventilation, and personalizing treatment
From early warnings to smarter ventilators, artificial intelligence is helping clinicians outpace ARDS, offering hope for more lives…
An end-to-end multifunctional AI platform for intraoperative diagnosis
Patient cohorts This multicenter study included retrospective development and validation of the GAS platform, followed by a prospective…
Turns out quantum secrets can’t be cracked by humans or AI alone
A scarcity of data is a major issue in scientific research. If you want to use machine learning,…
Genetics Could Explain Why Cronobacter Thrives in Powdered Infant Formula, AI-Driven Study Shows
Using an artificial intelligence (AI) model to conduct a genomic meta-analysis of Cronobacter sakazakii strains, researchers from the University…
AI Outperforms Humans in Mammography Analysis
TOPLINE: An artificial intelligence (AI) tool in mammography showed a high sensitivity and specificity, outperforming human readers in…