The Machine Learning and Clinical Prediction Lab (Hulman Lab) is an interdisciplinary research group at Steno Diabetes Center Aarhus, affiliated with the Department of Public Health at Aarhus University, Denmark.
Our research lies at the intersection of machine learning, clinical prediction, and epidemiology, with a focus on developing data-driven tools to improve disease prevention and patient care.
We are particularly interested in integrating multimodal data - such as images, time series, text, and clinical variables - using deep learning methods to enhance clinical risk prediction.
By reusing and adapting models across datasets and domains, we explore how knowledge can be transferred from epidemiological research to clinical applications.
Our team brings together expertise in data science, mathematics, sports science, and medicine. We are collaborating across disciplines to generate and communicate insights that benefit both research and clinical communities.
Being based within a hospital setting provides us with valuable perspectives on healthcare needs, enabling us to work closely with clinicians, patients, and other stakeholders to ensure our research remains patient-centered and relevant to real-world challenges.
More information
Read more about Machine Learning and Clinical Prediction Lab here
Contact
Adam Hulman
adahul@rm.dk
