First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage von Clark, Ian A., Niehaus, Katherine E., Duff, Eugene P., Di Simplicio, Martina C., Clifford, Gari D., Smith, Stephen M., Mackay, Clare E., Woolrich, Mark W., Holmes, Emily A.

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Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study von Walker, TM, Kohl, TA, Omar, SV, Hedge, J, Elias, CDO, Bradley, P, Iqbal, Z, Feverriegel, S, Niehaus, KE, Wilson, DJ, Clifton, DA, Kapatai, G, Ip, CLC, Bowden, R, Drobniewski, FA, Allix-Beguec, C, Gaudin, C, Parkhill, J, Diet, R, Supply, P, Crook, DW, Smith, EG, Walker, AS, Ismail, N, Niemann, S, Petot, TEA

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Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data von Yang, Y, Niehaus, KE, Walker, TM, Iqbal, Z, Walker, AS, Wilson, DJ, Peto, TEA, Crook, DW, Smith, EG, Zhu, T, Clifton, DA

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SODIUM-DEPENDENT RELAXATION IN ARTERIAL SMOOTH MUSCLE von Gillespie, Mark N., Niehaus, Karl E., Rodger, Ian W., Diamond, Louis

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The influence of isotope and prostate volume on urinary morbidity after prostate brachytherapy von Niehaus, Angela, Merrick, Gregory S., Butler, Wayne M., Wallner, Kent E., Allen, Zachariah A., Galbreath, Robert W., Adamovich, Edward

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