Transformational ML Can Identify Treatments for New Diseases

Researchers have developed a new approach that can learn how to train itself and learn new things and outperform the current machine learning systems of drug discovery and design, which in turn could accelerate the search for new disease treatments. This method is called transformational ML or machine learning. It was developed by a team of scientists and researchers from the UK, Sweden, India, and the Netherlands. Through this method, the machines can learn from multiple problems and improve their performance. In recent years, artificial intelligence has transformed medical research by revealing data patterns that can be used to predict new diseases and treatment outcomes for individual patients.