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# Tuberculosis

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  1. arXiv

    LungMend fills the cavities severe-TB CT masks miss, using only a healthy-lung shape prior and reaching 0.986 Dice

    On severe tuberculosis CT, cavities and consolidations have soft-tissue density and are left out of lung masks by segmenters such as R231. LungMend treats mask correction as shape completion: a latent diffusion prior trained on 57 healthy lungs, conditioned on a synthetically corrupted mask and on bone anatomy that disease does not alter, with no pathological data or CT intensities. On 200 radiologist-corrected slices from 20 severe TB cases it reaches 0.986 Dice and 0.57 mm average surface distance, with cavity and consolidation recall of 0.993 and 0.981.

  2. TB screening stops waiting for a radiologist: across about 40 sites in six countries, reading time falls from weeks to under 45 seconds

    Tuberculosis still kills an estimated 1.23 million people a year, and high-burden regions lack the radiologists who read chest X-rays. Google Research and Google for Health handed its chest X-ray algorithms to Pretoria-based Nexus AI, which turned them into a CE-certified clinical diagnostic tool now deployed in about 40 healthcare facilities across six countries including South Africa, Sierra Leone and Côte d'Ivoire. More than 90 clinicians have evaluated over 25,000 chest radiographs, cutting turnaround from weeks to under 45 seconds for rapid triage, with final clinical decisions left to health workers.

  3. Review maps indole derivatives targeting mycolic acid enzymes (MmpL3, InhA, KasA/B), their SAR and synthetic routes, and notes most series still lack enzymatic and genetic target validation

    This review systematically compiles progress in the design, synthesis, and biological evaluation of indole-based small molecules as antitubercular candidates targeting the mycolic acid biosynthesis pathway (MmpL3, InhA, KasA/KasB), listing per-series optimized-compound MIC values (e.g., compounds 20-22 at 0.0195 µg/mL, compound 36a at 0.024 µM, and compound 82 with MIC50 0.015 µM in the MmpL3 direction; compounds 122a at 0.39 µM and 143f at 3.99 µM in the InhA direction) alongside molecular docking results, and noting that many indole series still lack direct biochemical inhibition data such as purified-enzyme IC50/Ki and genetic validation including resistance mutations or target overexpression.

  4. medRxiv

    Time-resolved predictability of end-of-therapy outcome and relapse after cure in Phase 3 tuberculosis trials

    Using harmonised clinical data from two Phase 3 trials (2,918 participants), this study trained monthly tabular models from baseline to therapy end for time-resolved prediction of end-of-therapy (EOT) outcomes and post-treatment relapse, finding that EOT outcome prediction improved after month 3 (ROC-AUC up to 0.84, driven by sputum-smear and solid culture), whereas relapse prediction among those with favourable EOT outcomes and completed follow-up improved only modestly through month 3 (ROC-AUC 0.58-0.63) before declining, with age, sex, clinical symptoms and bacterial burden contributing most; large language model-derived embedding models matched tabular relapse models throughout therapy and outperformed tabular EOT models at months 3 and 4 (ΔROC-AUC 0.12 and 0.

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