Cancer researchers embrace AI to accelerate development of precision medicine

Biomedical researchers are embracing artificial intelligence to accelerate the implementation of cancer treatments that target patients’ specific genomic profiles, a type of precision medicine that in some cases is more effective than traditional chemotherapy and has fewer side effects.

The tool is called the  Clinical Knowledgebase (CKB)JAX-CKB is a powerful tool for interpreting complex genomic profiles and represents a valuable resource for clinicians and translational and clinical researchers.Clinical Knowledgebase (CKB).  Developed and managed by researchers at The Jackson Laboratory, the CKB is a searchable database where subject matter experts curate complex genomic data that could help doctors better treat patients and share information about clinical trials and bespoke treatment options.

 Tumors and terminologySusan Mockus wants to overcome a language barrier. It’s not between English and Spanish — it’s the genetic vocabulary that oncologists and cancer researchers should share but too often don’t.Susan Mockus, associate director of clinical genomics market development at JAX Genomic Medicine, is working with computer scientists on Microsoft's Project Hanover to develop AI technology designed to strengthen and accelerate the curation process.

“Because there is so much data and so many complexities, without embracing and incorporating artificial intelligence and machine learning to help in the interpretation of the data, progress will be slow,” Mockus says.

Learn more about The Jackson Laboratory's collaboration with Microsoft.