Yves Lussier
Section of Genetic Medicine
Associate Professor of Medicine

e-mail: ylussier@medicine.bsd.uchicago.edu
Referring Physician Access Line: 1-877-DOM-2730
Training:
DegreeYearInstitutionArea
BA1985University of SherbrookeEngineering
MD1989University of SherbrookeMedicine
Residency1992University of Sherbrooke HospitalFamily Medicine
Fellowship2001Columbia UniversityBiomedical Informatics
Academic Interests:
Dr. Lussier's research group focuses on the development and use of high throughput phenotyping technologies to integrate and analyze genomes with phenotypes and to accurately individualize the prediction and the treatment of diseases. More specifically, he has developed automated computational methods that bring together the fields of molecular bioinformatics, ontologies, and natural language processing in order to code, integrate, structure and mine the escalating wealth of complex and heterogeneous phenotypes. Contributing to the emerging field of “systems medicine”, these methods bridge the “phenotype gap”, as phenotypes are amassed in diverse and insufficiently related clinical, post-genomic and model organism databases 

Clinical Interests:
General internal medicine;Use of biomedical informatics tools and artificial intelligence to improve the quality and reduce the cost of patient care.

Representative Publications:
  1. Lussier YA, Rappaport D, Borlawsky T, Friedman C. PhenoGO: a Multistrategy Language Processing System Assigning Phenotypic Context to Gene Ontology Annotations. Pacific Symposium on Biocomputing, 2006;:64-75
  2. Tao Y, Friedman C, Lussier YA. “Visualizing information across multidimensional post-genomic structured and textual databases” Bioinformatics. 2005 Apr 15;21(8):1659-67. Epub 2004 Dec 14
  3. Cantor MN, Sarkar IN, Bodenreider O, Lussier YA. Genestrace: Phenomic Knowledge Discovery Via Structured Terminology. Pac Symp Biocomput. 2005;:103-14
  4. Lussier YA, Williams R, Jalan S, Borlawsky T, Li J, Stern E. Partitioning Knowledge Bases Between Advanced Notification and Clinical Decision Support Systems. (accepted for the special issue on "Decision Support in Medicine" of the journal “Decision Support Systems”).
  5. Lussier YA; Rothwell DJ; Côté RA: "The SNOMED Model: A Knowledge Source for the Controlled Terminology of the Computerized Patient Record". Methods of Information in Medicine 1998:37;160-164