Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

Artificial intelligence is transforming medicine, but what does that mean for breast cancer screening? Researchers at UMass Chan Medical School are exploring how an AI-based tool might help identify ...

Abstract: The application of machine learning algorithms in medical image processing has emerged as a possible means of achieving this goal. Early identification of pancreatic cancer is essential for ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

A new and important discovery comes from the field of oncological research thanks to the joint work of researchers from the Sbarro Institute in Philadelphia, the National Cancer Institute – Pascale ...

n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...

This study aims to construct a dual-modal machine learning model that integrates ultrasound radiomics and plasma proteomics for the precise diagnosis of breast cancer. The results showed that the ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Radiation dermatitis (RD), a common adverse reaction in breast cancer radiotherapy, impairs quality of life and increases healthcare burdens. Developing an effective risk prediction model is crucial ...