Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

This work reviews CM-cfDNA methods applied to clinical oncology, emphasizing both machine learning (ML) techniques and mechanistic approaches. The latter integrate biological principles, enabling a ...

WEST LAFAYETTE, Ind. — With recent advances, cancer research now generates vast amounts of information. The data could help researchers detect patterns in cancer cells and stop their growth, but the ...

Cancer has long been treated as a mass of rogue cells, but the real power lies in the intricate communication networks ...

Over the past 5 years, large language models (LLMs) have emerged and continued to improve in their generative abilities and are now capable of generating human-understandable text and performing ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

A new AI tool reads lung cancer biopsy slides in under an hour, accurately predicting mutations and saving patients delays, costs and tissue loss, marking a turning point in precision cancer care.

One of the most challenging moments in cancer treatment comes when a therapy stops working. In many metastatic cancers, drugs ...

Researchers developed two computational tools to decode how cells communicate in tissues. sCCIgen creates realistic virtual ...