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  1. Machine learning identifies clinical and sociodemographic factors contributing to post-COVID hospitalization and cardiovascular risk in patients with peripheral artery disease.
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    Journal: Sci Rep. 2025 Dec 05;15(1)
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  2. A Machine Learning Framework for Efficient Triage of Long-COVID Patients to Specialists.
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    Journal: Annu Int Conf IEEE Eng Med Biol Soc. 2025 Jul;2025
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  3. A Federated Semi-Supervised Learning Approach for COVID-19 CT Image Segmentation.
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    Journal: Annu Int Conf IEEE Eng Med Biol Soc. 2025 Jul;2025
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  4. Enhancing Reliability in COVID-19 Classification from CT scans using Learning to Reject.
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    Journal: Annu Int Conf IEEE Eng Med Biol Soc. 2025 Jul;2025
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  5. An Artificial Intelligence-Based Probabilistic Forecasting Model for Predicting Nursing Workforce Demand in Hospital Units.
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    Journal: Annu Int Conf IEEE Eng Med Biol Soc. 2025 Jul;2025
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  6. Data Adaptive Stochastic Ensemble Net: Optimizing Infection Predictions for COVID-19 Cluster Analysis.
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    Journal: IEEE J Biomed Health Inform. 2026 Jun;30(6)
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  7. An Analysis of COVID-19 Recovery Duration: Smartwatch Activity and Self-Report.
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    Journal: Annu Int Conf IEEE Eng Med Biol Soc. 2025 Jul;2025
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  8. Spatial Attention-guided Hybrid Deep Learning with Sharpened Cosine Similarity for Accurate Chest X-ray Interpretation.
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    Journal: Curr Med Imaging. 2026;22
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  9. Typhi Mykrobe: fast and accurate lineage identification and antimicrobial resistance genotyping directly from sequence reads for the typhoid fever agent Salmonella Typhi.
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    Journal: Genome Med. 2025 Oct 24;17(1)
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  10. Deep Learning vs Classical Methods in Potency and ADME Prediction: Insights from a Computational Blind Challenge.
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    Journal: J Chem Inf Model. 2025 Dec 22;65(24)
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