Modeling the Dynamics of Hepatitis C Transmission Using Fractional Order Approaches and Physics-Informed Neural Networks - Top-Institutions - MDSpire

Modeling the Dynamics of Hepatitis C Transmission Using Fractional Order Approaches and Physics-Informed Neural Networks

  • By

  • Vetrivel Muthupandi

  • Arul Joseph Gnanaprakasam

  • Salah Boulaaras

  • February 24, 2026

  • 0 min

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Top Institutions in Gastroenterology

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Hepatology
    • Infectious Disease Epidemiology
    • Computational Modeling

  • #2

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Hepatology
    • Global Health
    • Mathematical Modeling

  • #3

    Imperial College London
    Imperial College London

    London, N/A

    Key Differentiators

    • Infectious Disease Modeling
    • Hepatology
    • Computational Biology

  • #4

    University of Cape Town
    University of Cape Town

    Cape Town, N/A

    Key Differentiators

    • Hepatology
    • Infectious Diseases
    • Public Health

  • #5

    Centers for Disease Control and Prevention (CDC)
    Centers for Disease Control and Prevention (CDC)

    Atlanta, GA

    Key Differentiators

    • Epidemiology
    • Viral Hepatitis Control
    • Public Health Modeling

Original Source(s)

Modeling the Dynamics of Hepatitis C Transmission Using Fractional Order Approaches and Physics-Informed Neural Networks

  • by Vetrivel Muthupandi, Arul Joseph Gnanaprakasam, Salah Boulaaras

  • February 24, 2026

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