Deep learning system could transform skin cancer detection with near-perfect accuracy

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most ...

Machine learning predicts drug response for personalized colorectal cancer treatment

A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...
EurekAlert!

An interpretable machine learning model for predicting 5‐year survival in breast cancer based on integration of proteomics and clinical data

Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...
Oncology Nurse Advisor

Machine Learning Methods Able to Predict Symptom Deterioration From EHR Data

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
EurekAlert!

CAN-scan: new machine learning (ML) tool predicts drug response in colorectal cancer, opening doors to personalized treatment

A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform designed to “scan” the molecular features of each patient’s cancer. Published ...
China Daily Global Edition

Xi'an researchers develop AI framework for diagnosing leukemia

A team of researchers from Xi'an, Shaanxi province, has outlined a new AI framework capable of diagnosing leukemia with 96.5 percent accuracy while protecting patient privacy. The study, led by Liu ...