Transforming Animal Health: The Rise of AI in Veterinary Radiology

Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...
News-Medical.Net

AI trained on sleep data predicts future disease and mortality years in advance

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Seeing thyroid cancer in a new light: When AI meets label-free imaging in the operating room

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.
Mirage News

AI Transforms Thyroid Cancer Imaging in Surgery Room

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.
C&EN

Machine Learning-Enhanced Analysis of miRNA Biomarkers for Accurate Breast Cancer Diagnosis Using DNA Seagrass

Department of Laboratory Medicine, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Core Unit of National Clinical Research ...
Frontiers

Predicting molecular subtype in breast cancer using deep learning on mammography images

1 Department of Breast Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China 2 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
IEEE

Skin Cancer Classification using Machine Learning Techniques

Abstract: The death rate from skin cancer has radically grown due to a lack of understanding about the indications and prevention measures. It is one of the most lethal types of cancers, and the ...
IEEE

Early Detection of Breast Cancer through Automated Radiology Image Classification using Machine Learning Model

Abstract: Background: Breast cancer is still a big concern all around the world, and finding it early greatly improves life expectancy for patients. Methodology: This study presents an automated ...
ascopubs.org

Machine learning–based classification of cancer types using genomic profiling data from the Australian Molecular Screening and Therapeutics (MoST) program.

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...