Publications by authors named "Jessica N Torres"
Article Synopsis
- Valvular heart disease, specifically aortic stenosis (AS), aortic regurgitation (AR), and mitral regurgitation (MR), is a significant but often underdiagnosed issue that deep learning analysis of electrocardiograms (ECGs) can potentially address.
- The study involved 77,163 patients and developed deep learning algorithms to accurately identify moderate to severe cases of AS, AR, and MR using ECG data, achieving good performance metrics, especially for AS (AU-ROC: 0.88).
- Results suggest that deep learning could be integrated into screening programs for valvular heart disease, showing high sensitivity and specificity, particularly at low disease prevalence rates.
We report the discovery and confirmation of 23 novel mutations with previously undocumented role in isoniazid (INH) drug resistance, in catalase-peroxidase (katG) gene of Mycobacterium tuberculosis (Mtb) isolates. With these mutations, a synonymous mutation in fabG1 (g609a), and two canonical mutations, we were able to explain 98% of the phenotypic resistance observed in 366 clinical Mtb isolates collected from four high tuberculosis (TB)-burden countries: India, Moldova, Philippines, and South Africa. We conducted overlapping targeted and whole-genome sequencing for variant discovery in all clinical isolates with a variety of INH-resistant phenotypes.
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