A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for Enhanced Diagnostic Capabilities Vancouver, British Columbia–(Newsfile Corp.
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...
The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...
Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care This study aims to investigate the impact of ...
Researchers at the Indraprastha Institute of Information Technology (IIIT), Delhi, have developed advanced artificial ...
Startup SpotitEarly is pioneering an innovative early cancer screening test based on breath samples and powered by artificial intelligence and the strong scent detection of trained dogs. SpotitEarly ...