Researchers with City of Hope and MSK have created a tool that uses machine learning to assess a non-Hodgkin lymphoma (NHL) ...

A research group led by Gian Gaetano Tartaglia, Principal Investigator at the Italian Institute of Technology (IIT), ...

Scientists have helped to construct a detailed timeline for bacterial evolution, suggesting some bacteria used oxygen long before evolving the ability to produce it through photosynthesis.

A new article outlines a new tool that measures blood inflammation as a marker for poor CAR T therapy outcomes.

Cancer Center have created a tool that uses machine learning to assess a non-Hodgkin lymphoma (NHL) patient's likely response ...

A research group led by Gian Gaetano Tartaglia, Principal Investigator at the Italian Institute of Technology (IIT), ...

By analysing huge amounts of biological data, the use of machine learning accelerates the identification of critical control ...

Machine learning model improves transplant risk assessment for patients with myelofibrosis, helping clinicians make informed ...

The team used machine learning to analyze ancestral bacterial genomes, predicting whether they used oxygen. They also incorporated genetic data from mitochondria and chloroplasts, linked to early ...

Researchers at Pacific Northwest National Laboratory (PNNL) are using machine learning (ML) to identify subtle changes in ...

A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) ...

“These studies demonstrate that by using machine learning and blood tests, we could develop a highly reliable tool that can help predict who will respond well to CAR T cell therapy,” said ...