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) ...

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

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

A new blood test pioneered by diagnostics company AOA Dx (AOA) can detect ovarian cancer in symptomatic women with high ...

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

A SIMPLE blood test could accurately detect one of the stealthiest cancers in its early stages and has the potential to ...

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 ...

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.” ...

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.

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 ...