The Center for AI Enabling Discovery in Disease Biology (AID2B) at Case Western Reserve University School of Medicine uses cutting-edge artificial intelligence (AI) and machine learning techniques to examine and more fully understand human diseases to inform clinical decision-making and treatment developments.
Advances over the last decade have revealed the need for re-imagining analysis and interrogation throughout the life sciences, necessitating the broader adoption, education, and dissemination of artificial intelligence (AI) and machine learning techniques. The resulting opportunities to discover unknown aspects of disease biology could enable tailoring of precision treatment paradigms based on patient- and disease-specific profiles as well as overcoming population biases in clinical decision-making; thus, fundamentally changing the practice of medicine.
The Center for AID2B addresses these challenges in the following ways.
- Across scales: from the molecular (sequencing, epigenomics), cell/tissue (pathology and radiographic imaging), serum (ctDNA, antigen markers) to the population scale (digitized medical records, demographics);
- Across dimensions: examining various elements and aspects of disease in order to characterize the mechanistic “why” of disease, apply techniques to assist in learning more about the clinical “what”, including disease diagnosis, patient prognosis, and predicting therapeutic responses, and directly impacting the patient “who” through the paradigm of personalized medicine as way to address health disparities;
- Across disciplines: a thorough and comprehensive quantitative understanding of human disease will require bringing together disciplines across basic science (systems and evolutionary biology, chemistry, genetics), applied engineering (biomedical, computer science, mechanical), and clinical research (oncology, radiology, pathology, radiation oncology).