I collaborate with a number of physicians on the development and application of Artificial Intelligence and Machine Learning. Specific applications include:

• Deep Reinforcement Learning in Medicine

  • I am currently developing a method for learning risk-averse policies in the context of critical care medicine. Our approach integrates mechanistic models of physiology with Deep Reinforcement Learning

  • Primary publications in this area

    • Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment, T Nanayakkara, G Clermont, CJ Langmead, D Swigon,

• Biomarker discovery

  • I have used Machine Learning to identify diagnostic and prognostic biomarkers in several disease areas, using both proteomic and genomic data.

  • Primary publications in this area

    • Angiopoietin-2, a regulator of vascular permeability in inflammation, is associated with persistent organ failure in patients with acute pancreatitis from the United States and Germany DC Whitcomb, V Muddana, CJ Langmead, FD Houghton Jr, A Guenther, et al American Journal of Gastroenterology 105 (10), 2287-2292, 2010

    • Serum biomarker panels for the detection of pancreatic cancer, RE Brand, BM Nolen, HJ Zeh, PJ Allen, MA Eloubeidi, M Goldberg, et al Clinical Cancer Research 17 (4), 805, 2011

    • Serum biomarker profiles as diagnostic tools in lung cancer, BM Nolen, CJ Langmead, S Choi, A Lomakin, A Marrangoni, WL Bigbee, et al Cancer Biomarkers 10 (1), 3-12, 2012

    • HARVESTMAN: A framework for hierarchical feature learning and selection from whole genome sequencing data, TS Frisby, SJ Baker, G Marcais, QM Hoang, C Kingsford, CJ Langmead, BMC Bioinformatics, 22, 174, 2021

• Predictive Modeling

  • I have used Machine Learning to build models for predicting the likelihood of severe complications in the context of Acute Pancreatitis

  • Primary publications in this area

    • Comparison of existing clinical scoring systems to predict persistent organ failure in patients with acute pancreatitis, R Mounzer, CJ Langmead, BU Wu, AC Evans, F Bishehsari, V Muddana, et al Gastroenterology 142 (7), 1476-1482, 2012

    • A Novel Five Cytokine Panel Outperforms Conventional Predictive Markers of Persistent Organ Failure in Acute Pancreatitis, C.J. Langmead, P.J. Lee, P. Paragomi, P. Greer, K. Stello, P.A. Hart, D.C. Whitcomb, and G.I. Papachristou, Clinical and Translational Gastroenterology, 12(5), p e00351, 2021

• Closed-loop control of implantable devices

  • We have used Bayesian model checking to design the controllers for an artificial pancreas

  • Primary publication in this area

    • Synthesis of insulin pump controllers from safety specifications using Bayesian model validation, SK Jha, RG Dutta, CJ Langmead, S Jha, E Sassano, Proceedings of the Tenth Asia Pacific Bioinformatics Conference, 2012