All Stories

  1. Can familiarization with a supernumerary robotic finger restore task-dependent cortico-autonomic coupling in first-time healthy users?

    Article • The International Journal of Robotics Research, March 2026, SAGE Publications

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  2. From retina to heart: explainable machine learning using OCT and Clinical covariates for heart failure screening

    Article • BioData Mining, February 2026, Springer Science + Business Media

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  3. Autonomic Nervous System Adaptation to Supernumerary Robotic Finger Use: Coherence Analysis of RR Intervals Before and After Training

    Article • IEEE Transactions on Neural Systems and Rehabilitation Engineering, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

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  4. Explainable AI for Cardiorenal Insights: Linking ECG Features to Kidney Function Decline in a Heart Failure Cohort

    Article • December 2025, Computing in Cardiology

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  5. Markov Transition Matrix Analysis Reveals Age-Dependent Patterns in Symbolic Heart Rate

    Article • December 2025, Computing in Cardiology

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  6. Multimodal Assessment of Orthotic Intervention in Flatfoot Gait Using EMG and Plantar Pressure Analysis

    Article • November 2025, ACM (Association for Computing Machinery)

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  7. Hyperspectral spectroscopy and machine learning for non-destructive monitoring of leaf water and chlorophyll content under greenhouse lighting conditions

    Article • Environmental Technology & Innovation, November 2025, Elsevier

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  8. Investigating Task-Dependent Electrophysiological Network Dynamics in Everyday Activities

    Article • October 2025, Institute of Electrical & Electronics Engineers (IEEE)

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  9. Symbolic heart rate transition motifs during nocturnal sleep are associated with diabetic complications in type 2 diabetes

    Article • PLOS One, September 2025, PLOS

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  10. Heart rate transition patterns reveal autonomic dysfunction in heart failure with renal function decline: a symbolic and Markov model approach

    Article • BioData Mining, June 2025, Springer Science + Business Media

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  11. Prediction of heart failure risk factors from retinal optical imaging via explainable machine learning

    Article • Frontiers in Medicine, March 2025, Frontiers

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  12. Quantitative Gait Analytics Reveal Atrial Fibrillation-Specific Patterns in Balance and Mobility: Implications for Fall Prevention

    Article • IEEE Access, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

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  13. A Hybrid CNN-LSTM Model for Heart Failure Detection Using Raw ECG Signals

    Article • December 2024, Computing in Cardiology

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  14. Unveiling soil coherence patterns along Etihad Rail using Sentinel-1 and Sentinel-2 data and machine learning in arid region

    Article • Remote Sensing Applications Society and Environment, November 2024, Elsevier

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  15. Assessment of Serum Creatinine and Serum Sodium Prognostic Potential in Heart Failure Patients Using Machine Learning

    Article • July 2024, Institute of Electrical & Electronics Engineers (IEEE)

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  16. Predicting HF patients' distinct LVEF levels using circadian ECG features and ML

    Article • PLOS One, May 2024, PLOS

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  17. Exploring AI-driven regression models to estimate LVEF in HF patients using circadian ECG features.

    Article • PLOS One, December 2023, PLOS

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  18. Non-invasive technologies for heart failure, systolic and diastolic dysfunction modeling: a scoping review

    Article • Frontiers in Bioengineering and Biotechnology, October 2023, Frontiers

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