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National Institute for Health and Care Research

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  1. JAMA Cardiology

    Coronary inflammation read from noncontrast CT: a fat attenuation index score sharpens risk in people with zero calcium

    Coronary inflammation could previously be measured only on contrast-enhanced coronary CT angiography, while routine calcium scoring uses low-dose noncontrast CT. A deep-learning pipeline trained and externally validated in a multicenter cohort computes a pericoronary fat attenuation index (FAI) score from noncontrast CT; the score performed comparably to the contrast-based FAI and further separated cardiovascular death and major adverse cardiovascular events among people with a calcium score of zero.

    Barts Health NHS TrustFriedrich-Alexander-Universität Erlangen-NürnbergGeorge Washington UniversityNational Institute for Health and Care ResearchLiverpool Heart and Chest Hospital NHS TrustNewcastle UniversityUniversity of FreiburgMayo Clinic
    Kenneth Chan（First author）
    Fat Attenuation Index ScoreCoronary inflammationCardiovascular Risk PredictionComputed Tomography
  2. medRxiv

    Bacterial ID stops chasing exact species: pooling 13-species single-cell images into AST-routing groups lifts accuracy from 65.4% to 77.1%

    Single-cell image classification struggles to name species on unseen strains. SC-MAPS aligns phase-contrast, bright-field and three fluorescence channels on 916,435 cells from 13 species and fuses them with deep learning; on held-out strains single-cell species accuracy is 65.4%, pooling species probabilities into eight AST-routing groups raises it to 77.1%, and combining five cells from one sample reaches 91.1%.

    University of GlasgowNational Institute for Health and Care ResearchUniversity of Oxford
    Anuj Tiwari（First author）
    SC-MAPSAST RoutingMultichannel Feature FusionOut-of-Distribution Detection

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