Anant Madabhushi believes artificial intelligence can quickly determine the best approaches to defeat cancer—and it also can spare patients the physical and financial pain of interventions unlikely to help them.

A researcher from Case Western Reserve University has been awarded a grant to test if MRI-based biomarkers can improve how the field manages brain tumors.

Pairing of novel imaging technique with post-processing analyses could ultimately reshape care.  Researchers at Cleveland Clinic and Case Western Reserve University in Cleveland have received a $3 million, five-year R01 grant from the National Institutes of Health (NIH) to use a novel imaging method known as magnetic resonance (MR) fingerprinting to quantitatively assess brain pathology to improve epilepsy care.

Anant Madabhushi directs the Center on Computational Imaging and Personalized Diagnostics at Case Western Reserve University. There, he works closely with radiologists, pathologists, surgeons, clinicians and cardiologists to explore medical imaging applications of machine learning beyond diagnostics. Chief among them is using the technology to identify disease prognoses and predict responses to treatment.

Case Western Reserve digital-imaging lab advances understanding of which ‘stage 0’ patients are most likely to progress to advanced cancer and may benefit from additional therapy

Predictive analytics in medical imaging is set to have a big impact on cancer care too, says Anant Madabhushi, bioengineering researcher and director of the Center for Computational Imaging and Personalized Diagnostics at the Case School of Engineering at Case Western Reserve University

Ahead of his presentation at the 6th Digital Pathology and AI Congress: Europe, we spoke to Andrew Janowczyk about his work creating scalable data analysis techniques to facilitate cancer research through the development of open-source Digital Pathology tools.

Session will focus on the integration of radiology, pathology and genomics in cancer diagnosis and care.

Patent US 10,398,399 entitled "Decision support for disease characterization and treatment response with disease and peri-disease radiomics" issued to the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University and collaborators from University Hospitals.