Palliative care is recommended for patients with cancer with a life expectancy of <12 months. Machine learning (ML) techniques can help ... of self-reported patient burden and mortality prediction ...

Selection of appropriate adjuvant therapy to ultimately reduce the risk of breast cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk prediction models have been ...

Still, science is always ... have just published data on a novel machine-learning framework they developed that distinguishes between low- and high-risk prostate cancer with more precision than ...

One of my favorite places to learn data science is an under-the-radar educational website, DataCamp. DataCamp doesn't get nearly the attention that some of the larger, more well-funded online ...

Researchers from the Pohang University of Science ... of anti-cancer drug response predictions by using data closest to a human being’s response. The team developed this machine learning ...

Development of a precision medicine technology based on artificial intelligence that predicts immunotherapy response in cancer ... by using network-based machine learning. The research team ...

Using federated (decentralised) machine learning, Philip O’Brien’s current research aims to predict mental health outcomes of cancer patients ... with science and data has changed in recent ...

Machine learning is revolutionizing how computers perform tasks traditionally considered exclusive to human intelligence. Our everyday lives are deeply embedded with machine learning, from AI ...