AI based models achieved an accuracy rate of 86% for detecting ovarian cancer, compared to 82% for human experts.

Scientists have discovered significant discrepancies in PD-1 between humans and rodents, indicating that common lab models ...

Cancer immunotherapy drugs called immune checkpoint inhibitors take the brakes off the body’s immune system, allowing it to ...

This manuscript offers valuable insights by identifying two distinct liver cancer subtypes through multi-omics integration and developing a robust prognostic model, validated across various datasets, ...

Farber, Memorial Sloan Kettering, The Sidney Kimmel Comprehensive Cancer Center and the Whiting School of Engineering at ...

In a new study led by researchers at Karolinska Institutet in Sweden, AI models did a better job of detecting ovarian cancer ...

Artificial intelligence (AI)-based models developed by a team of international researchers were able to identify ovarian ...

Researchers want trustworthy, human-relevant models. Integrating automation and AI into organoid development workflows—or ...

Faye Louise, a former model, recovered from cancer after having eight organs removed due to a rare tumor called pseudomyxoma ...

A former model had eight organs removed after she was diagnosed with a rare form of cancer, but she has now returned to work ...

UC San Diego researchers reveal key differences in PD-1 checkpoint receptors between rodents and humans. Rodent PD-1 is ...

Researchers have discovered that a machine learning (ML) model, using dynamic ensemble selection (DES), outperforms ...