Kate Niehaus, PhD student
I am interested in the hypothesis that many disease states, as classified today, are actually due to collections of similar, but distinct, mechanistic pathway irregularities. For instance, there is great heterogeneity across inflammatory bowel disease (IBD) patients in terms of their symptoms and disease progression - this suggests the possibility of multiple disease subtypes. I am interested in developing tools to help us identify and characterize such patient subgroups, which can eventually allow for more targeted treatments.
- Johnson, A.E.W … Niehaus, K.E., et al. “Machine learning and decision support in critical care.” Proceedings of the IEEE 104, no. 2 (2016): 444-466.
- Walker, T.M., … Niehaus, K.E., et al. “Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study.” Lancet Infectious Diseases15, no. 10 (2015): 1193-1202.
- Niehaus, K.E., Uhlig, H.H., Clifton, D.A., “Phenotypic characterization of Crohn’s disease severity.” In Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, pp. 7023-7026. IEEE, 2015.
- Clifton, D.A., Niehaus, K.E., Charlton, P., Colopy, G.W. “Health informatics for the clinical management of patients.” Yearbook of Medical Informatics, International Medical Informatics Association. 2015.