Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have ...

The review demonstrated a rise in publications related to AI/machine learning cancer pain research, with 1 article published between 2006 and 2009 and 26 published between 2020 and 2023. Artificial ...

With the help of machine learning, scientists have identified a plethora of previously-unidentified drug targets for breast cancer, cervical cancer, glioblastoma and more. In a study published Jan. 11 ...

In a recent study published in The Lancet Digital Health, researchers discuss the development and validation of a combined model comprising imaging, clinical, and cell-free deoxyribonucleic acid (DNA) ...

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...

Machine learning (ML) models have been increasingly used in clinical oncology for cancer diagnosis, outcome predictions, and informing oncological therapy planning. The early identification and prompt ...

Automated Classification of Breast Cancer Across the Spectrum of ERBB2 Expression Focusing on Heterogeneous Tumors With Low Human Epidermal Growth Factor Receptor 2 Expression We included patients age ...

While the buzz around generative AI continues to build, physicians at advanced cancer centers, startups and biomedical companies are seeing the potential for gen AI solutions to advance cancer ...

BUFFALO, NY- July 21, 2023 – A new editorial paper was published in Oncoscience (Volume 10) on June 9, 2023, entitled, “Transforming early cancer detection in primary care: harnessing the power of ...