Machine learning (ML) models have been increasingly used in clinical oncology for cancer diagnosis, outcome predictions, and informing oncological therapy planning. The early identification and prompt ...

With the help of machine learning, scientists have identified a plethora of previously-unidentified drug targets for breast cancer, cervical cancer, glioblastoma and more. In a study published Jan. 11 ...

For over three decades, a highly accurate early diagnostic test for ovarian cancer has eluded physicians. Now, scientists in the Georgia Tech Integrated Cancer Research Center (ICRC) have combined ...

Pancreatic cancer (PaC) is often diagnosed at advanced stages, resulting in one of the lowest survival rates among patients with cancer. The purpose of this study was to investigate whether machine ...

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 classification ...

Algorithms and open-source machine-learning tools are as good as, or even better than, human reviewers in detecting cancer cases using information from free-text pathology reports, according to a new ...

There is ongoing clinical need to improve estimates of disease outcome in prostate cancer. Machine learning (ML) approaches to pathologic diagnosis and prognosis are a promising and increasingly used ...

Please provide your email address to receive an email when new articles are posted on . A machine learning algorithm performed better than CT scans for predicting lymph node metastases and positive ...

For the best experience, please enable JavaScript in your browser settings. Brachytherapy machine at the Jaramogi Teaching and Referral Hospital Oncology department ...

Cancer treatment machines worth Sh280 million have been lying idle at a Kisumu hospital because of lack of qualified staff to operate them. The machines lying at the Jaramogi Oginga Odinga Teaching ...