Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Researchers discuss the development and validation of a combined model for the early diagnosis of lung cancer.

The field of artificial intelligence (AI) has seen exponential growth in recent years, revolutionizing sectors from finance ...

On June 9, 2023, a new editorial paper was published in Oncoscience, entitled, “Transforming early cancer detection in primary care: harnessing the power of machine learning.” ...

A predictive model utilizing serum metabolic profiles was able to distinguish ovarian cancer from control samples with 93% accuracy, according to a new study. Machine learning–based ...

The Science Translational Medicine study “Machine Learning to Detect the SINEs of Cancer” was supported by Burroughs Wellcome Career Award for Medical Scientists, National Institutes of Health ...

Researchers explore DNA methylation patterns for early ovarian cancer detection, aiming to improve survival rates through innovative blood tests.

The Destinex assay revolutionizes gastric cancer detection with high accuracy, offering a noninvasive, cost-effective liquid biopsy for early diagnosis.

Aspyre Lung is a targeted biomarker panel of 114 genomic variants across 11 guideline-recommended genes with simultaneous DNA and RNA for non–small cell lung cancer (NSCLC). In this study, we ...

A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions. Breast ...