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

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

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) ...

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

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

A simple new blood test could accurately detect ovarian cancer in its early stages, according to scientists in Manchester. A ...

A straightforward blood test shows promise in accurately detecting ovarian cancer at its earliest stages, potentially ...

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 ...

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 ...

They have found that existing algorithms and open source machine learning tools were as good as, or better than, human reviewers in detecting cancer cases using data from free-text pathology reports.