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 ...
EurekAlert!

Study by Incheon National University could transform skin cancer detection with near-perfect accuracy

Melanoma is the deadliest form of skin cancer, responsible for thousands of deaths each year; but early detection can ...

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 ...
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 ...
Phys.org

Machine learning helps identify 'thermal switch' for next-generation nanomaterials

Imagine being able to program materials to control heat like you can control a light with a dimmer switch. By simply squeezing or stretching the materials, you can make them hotter or colder. One of ...
Phys.org

Study finds nanofiltration membranes most effective in tackling pharmaceutical pollution

"Data on removal efficiencies, fouling tendencies, and operational conditions were extracted from relevant studies to compare the effectiveness of each membrane type," the researchers explain. They ...