Katherine E. Niehaus

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BACKGROUND Diagnosing drug-resistance remains an obstacle to the elimination of tuberculosis. Phenotypic drug-susceptibility testing is slow and expensive, and commercial genotypic assays screen only common resistance-determining mutations. We used whole-genome sequencing to characterise common and rare mutations predicting drug resistance, or consistency(More)
After psychological trauma, why do some only some parts of the traumatic event return as intrusive memories while others do not? Intrusive memories are key to cognitive behavioural treatment for post-traumatic stress disorder, and an aetiological understanding is warranted. We present here analyses using multivariate pattern analysis (MVPA) and a machine(More)
Crohn's disease (CD) is a highly heterogeneous disease, with great variation in patient severity. Using supervised machine learning techniques to predict severity from common laboratory and clinical measurements, we found that high levels of C-reactive protein and low levels of lymphocytes and albumin are important predictive factors. Building upon this(More)
Open Access article distributed under the terms of CC-BY. and TG) provided the informatics and computational foundations from which this study could be done. Declaration of interests PS is a consultant for Genoscreen. CG is, and CAB was, an employee of Genoscreen. JP has received support for conference travel and accommodation from Illumina. DAC is funded(More)
— The prevalence of antibiotic resistance in pathogens is far outpacing our ability to develop new antibiotics. This necessitates the development of diagnostic tests that can determine bacterial susceptibility. For Mycobacterium tuberculosis (MTB), this is particularly urgent given that current methods for testing susceptibility take up to two months. The(More)
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