Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care This study aims to investigate the impact of ...
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 ...
An innovative biotech startup founded by researchers at Washington University School of Medicine in St. Louis has been acquired by Lunit, a leading company in developing AI-based technologies for ...
The U.S. Food and Drug Administration (FDA) has authorized the first-ever artificial intelligence (AI) tool designed to predict a woman’s five-year risk of breast cancer using a routine screening ...
Deep learning model analyzes mammograms to predict breast cancer risk up to five years in advance, now being tested at ...
Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ ...
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
The discovery could pave the way for new treatments, improved risk prediction, and earlier intervention for brain metastases.