Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

In the quest to decipher the evolutionary relationships of extinct organisms from fossils, researchers often face challenges in discerning key features from weathered fossils, or with prioritizing ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Professor Anna Panorska and her former master’s student David Kweku (Statistics and Data Science), along with an interdisciplinary and international team of researchers, recently authored an article ...

A new editorial paper was published in Oncotarget's Volume 14 on February 11, 2023, entitled, "Unlocking the potential of molecular-driven stratification for osteosarcoma treatment and prognosis." ...

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 ...

Growing acceptance of medical cannabis has led to a worldwide increase in production of the plant, but some of the associated legal and regulatory framework has not kept pace. According to a project ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...