Title: The Canons of Disease Etiology
Abstract: The dream of a powerful integrated computational framework, only hinted at in Ibn Sina’s Canon, can now be fulfilled at a global scale as a result of many recent advances: foundational advances in statistical inference; hypothesis-driven experiment design and analysis and the dissemination of peer-reviewed publications among communities of scientists; distributed large-scale databases of scientific and auxiliary experimental data; algorithmic approaches to model building and model checking; machine learning approaches to generate large number of hypotheses, and multiple hypotheses testing to tame computational complexity and false-discovery rates, etc. More specifically, in the area of biomedical sciences, there has been an explosion of new technological advances: genomics, transcriptomics and proteomics; web interfaces allowing patients to keep personal logs; genome-wide association studies; detailed analyses of hereditary, genetic and ancestral history of patients’ genomes; construction of phenomenological models of disease initiation and progression; type-level and token-level analysis of the causal bases of human diseases; translational systems biology for biochemical explanations of diseases; and the accessible integration of these capabilities into a multi-faceted system with specific attention to the ethical use of medical data, patient privacy, powerful hardware and software infrastructure and cognitive consonance with biomedical scientists, physicians and care-givers. We will focus on an application centered on cancer – “the emperor of all maldies.”
We will also discuss the relevance of this research to Data Science, Big Data, DARPA’s Big Mechanism effort and the X prize for Mobile Diagnostics.
Bud Mishra is a professor of computer science and mathematics at NYU’s Courant Institute of Mathematical Sciences, professor of human genetics at Mt. Sinai School of Medicine, and a professor of cell biology at NYU School of Medicine. He currently leads several groups working in biotechnology, bioinformatics, biomedicine, cyber security, data privacy, and data sciences. Prof. Mishra has a degree in Science from Utkal University, in Electronics and Communication Engineering from IIT, Kharagpur, and MS and PhD degrees in Computer Science from Carnegie-Mellon University. He has industrial experience in Computer and Data Sciences (ATTAP, Genesis Media, SeQster, and Tartan Laboratories, etc.), Finance (Instadat, PRF, LLC, and Tudor Investment, etc.), Robotics and Bio- and Nanotechnologies (Abraxis, Bioarrays, InSilico Medicine, MRTechnology, OpGen, etc.). He is an author of a textbook on algorithmic algebra and more than two hundred archived publications. He has advised and mentored more than 40 graduate students and post-docs in the areas of computer science, robotics and control engineering, applied mathematics, finance, biology and medicine. He is an inventor of Optical Mapping and Sequencing (SMASH, Gentig/Haptig, Sutta-Assembler & TotalReCaller), Array Mapping, Copy-Number Variation Mapping, Cancer Therapy Design, Model Checker for circuit verification, Robot Motion Planning, Manipulation Planning, Grasping and Fixturing, Reactive Robotics, Nanotechnology for DNA profiling, Causality Analysis and Personal Private Data Markets. He is a fellow of IEEE, ACM and AAAS, a Distinguished Alumnus of IIT-Kgp, and a NYSTAR Distinguished Professor. From 2001-04, he was a professor at the Watson School of Biological Sciences, Cold Spring Harbor Lab; currently he is a QB visiting scholar at Cold Spring Harbor Lab.