Other lectures
Pr. Peter J. Tonellato will present two other lectures in Fez and Casablanca.
Fez, Monday, January 2, 16h-17h, Faculty of Medicine of Fez
Title: Translational Science, Genetics, and the new era of Personalized Medicine
Abstract:
The Department of Pathology, Beth Israel Deaconess Medical Center working with a consortium of stake holders from health care, government and private industry is incorporating whole genome sequencing into best practice pathology (1). Much like the dramatic shift in biomedical science, whole genome sequencing, expression profiles and other high-throughput clinically relevant technology will create a post-genome paradigm in health, disease prevention, and personalized medicine. However, this paradigm shift will not take place until the technologies and processes are re-engineered (“Translated”) from the standard research setting into the standard best-practice medical care delivery setting. Our efforts include technology to process and integrate personal genomes into medical records, redefining regulatory management of whole genome sequencing in the clinical laboratory, reimbursement, and creating a robust clinical business model for post-genome pathology practice. These and parallel efforts though difficult, disruptive and time consuming will catalyze the adoption and widespread implementation of the post-genome competency required to fully capture the value of whole genome information and thereby position the discipline of pathology to lead rather than follow in the coming era of personalized medicine. Applications in cancer and pharmacogenomics will be reviewed and discussed.
References:
1. Tonellato PJ, Crawford JM, Boguski MS, Saffitz JE. A national agenda for the future of pathology in personalized medicine. Am J Clin Pathol. 2011 May;135(5):668-72
2. Salari K. The dawning era of personalized medicine exposes a gap in medical education. PLoS Med. 2009
Casablanca, Wednesday, January 4th, 11h-12h, Institut Pasteur
Title: Translation from Research to Medicine: Best Practice, Genetics and Predictions of Personalized Medicine
Abstract:
We present a general approach to predict the clinical efficacy of genetic discoveries using ‘clinical avatars’ to predict the value of genetics on risk, diagnosis and treatment. Clinical avatars are represented by individual medical data records produced from a stochastic model and statistical parameters developed to reflect actual patient populations. The approach is used to detect differences between predictions of drug dosing prediction algorithms applied to several representative patient populations (such as US general population, Egyptian, and Asian). Clinical variables (clinical, prescription, and genetic) used in the model were derived from examination of published warfarin prediction and decision support algorithms. We extend the predictions when whole genome sequencing is integrated into best practice medicine (1). Much like the dramatic shift in biomedical science, whole genome sequencing and other high-throughput clinically relevant technology will create a post-genome paradigm in health, disease prevention, and personalized medicine. In this presentation we demonstrate the viability of these new technologies to improve “personalized” medicine.
References:
1. Tonellato PJ, Crawford JM, Boguski MS, Saffitz JE. A national agenda for the future of pathology in personalized medicine. Am J Clin Pathol. 2011 May;135(5):668-72
2. Salari K. The dawning era of personalized medicine exposes a gap in medical education. PLoS Med. 2009
