Optimizing drug combinations to resurrect the potency of failed antibody therapy against emerging COVID-19 variants using IDentif.AI - Top-Institutions - MDSpire

Optimizing drug combinations to resurrect the potency of failed antibody therapy against emerging COVID-19 variants using IDentif.AI

  • By

  • Peter Wang

  • Kui You

  • Zi Wei Chia

  • Lissa Hooi

  • Li Ming Chong

  • De Hoe Chye

  • Angelina Moh

  • Ze Yong Lee

  • Ethan Lim

  • Alrick Zi Xin Kok

  • Stephen Chua

  • Isaiah Zhuang

  • Ella Chang

  • Boon Huan Tan

  • Gladys Gek Yen Tan

  • Shawn Vasoo

  • Conrad E. Z. Chan

  • Edward Kai-Hua Chow

  • Dean Ho

  • June 2, 2026

  • 0 min

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Top Institutions in Infectious Disease

Brief introduction explaining scope and methodology.

  • #1

    National University of Singapore
    National University of Singapore

    Singapore, Singapore

    Key Differentiators

    • Infectious Disease
    • Digital Medicine

  • #2

    National Centre for Infectious Diseases
    National Centre for Infectious Diseases

    Singapore, Singapore

    Key Differentiators

    • Infectious Disease

  • #3

    Technical University of Munich
    Technical University of Munich

    Munich, Germany

    Key Differentiators

    • Infectious Disease
    • Ethics

  • #4

    Heinrich-Heine University Düsseldorf
    Heinrich-Heine University Düsseldorf

    Düsseldorf, Germany

    Key Differentiators

    • Infectious Disease

  • #5

    University Hospital Bonn
    University Hospital Bonn

    Bonn, Germany

    Key Differentiators

    • Infectious Disease

Original Source(s)

Optimizing drug combinations to resurrect the potency of failed antibody therapy against emerging COVID-19 variants using IDentif.AI

  • by Peter Wang, Kui You, Zi Wei Chia, Lissa Hooi, Li Ming Chong, De Hoe Chye, Angelina Moh, Ze Yong Lee, Ethan Lim, Alrick Zi Xin Kok, Stephen Chua, Isaiah Zhuang, Ella Chang, Boon Huan Tan, Gladys Gek Yen Tan, Shawn Vasoo, Conrad E. Z. Chan, Edward Kai-Hua Chow, Dean Ho

  • June 2, 2026

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