Our goal at CLAI is to integrate phenomenological theory and clinical knowledge with state-of-the-art Machine Learning/Artificial Intelligence methods to develop enriched computational models of human phenotypes. We are pursuing these goals through 3 research foci:
1- Clinical. Incorporating clinical knowledge and informatics approaches to develop phenotype models (for cohort classification and predictions) using clinical data, especially data stored in electronic health record systems.
2- Computational. Developing and validating Thinkin’ (i.e., specialized, time-aware, data-centric, interpretable, portable, and fair) ML/AI systems to enable precision medicine.
3- Temporal. Leveraging temporal information in digital records to enrich computational models of evolving and complex human phenotypes.