Advancing musculoskeletal research through data science and artificial intelligence
The Data Analytics, Artificial Intelligence and Machine Learning Core supports Indiana Center for Musculoskeletal Health (ICMH) investigators and the broader Indiana University School of Medicine research community in designing and executing studies that leverage large-scale real-world data, advanced analytics and artificial intelligence (AI). The core enables researchers to translate complex data into meaningful, actionable discoveries by providing access to robust datasets, expert consultation and end-to-end project support.
The mission of the core is to empower investigators to integrate established data analytics approaches with state-of-the-art artificial intelligence to accelerate both basic and clinical research. Services span foundational data analysis through advanced machine learning and deep learning methodologies, applied to diverse data types including clinical, imaging and molecular (omics) datasets. A central emphasis is placed on explainable AI, ensuring that analytical models are transparent, interpretable and grounded in human-understandable logic, enabling clear and testable links between computational findings and underlying biological or clinical mechanisms.
Developed as part of IU School of Medicine’s broader data science and AI initiatives, the core is built in collaboration with the Department of Biostatistics and Health Data Science, the Regenstrief Institute and IU’s research computing and data infrastructure. With a strong and growing user community, the core is designed to enhance collaboration, productivity and innovation across ICMH and beyond.
