Posts classified under: DBDS

Dr. Langlotz is Professor of Radiology and Biomedical Informatics and Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which supports outstanding interdisciplinary artificial intelligence research that optimizes how clinical images are used to promote health. As Associate Chair for Information Systems and a Medical Informatics Director for Stanford Health Care, he is also responsible for the computer technology that supports the Stanford Radiology practice, including 7 million imaging studies that occupy 0.7 petabytes of storage. Read more about rhe Center for Artificial Intelligence in Medicine & Imaging.

Research Areas:

• Design algorithms that detect and classify disease on medical images
• Enabling the clinical use of ideas conceived in the laboratory
• Develop natural language processing methods that use narrative radiology reports to create large annotated image training sets for supervised machine learning experiments

My lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. Previously we pioneered data fusion work using Bayesian and kernel methods studying breast and ovarian cancer. Additionally, we developed computational algorithms for the identification of driver genes using multi-omics data. Furthermore, we are working on multi-scale biomedical data fusion methods, bridging the molecular using omics data, cellular using pathology data and tissue using medical imaging data.

Research Areas: 

• Bioinformatics
• Computational Biology
• Machine Learning