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Addressing COVID-19 Drug Development with Artificial Intelligence.

Dean Ho1,2,3,4,5

  • 1The N. 1 Institute for Health (N. 1) National University of Singapore Singapore 117456 Singapore.

Advanced Intelligent Systems (Weinheim an Der Bergstrasse, Germany)
|August 25, 2020
PubMed
Summary

Artificial intelligence (AI) can accelerate the discovery of novel COVID-19 combination therapies. Harnessing AI optimizes drug screening, potentially leading to enhanced treatment outcomes for Coronavirus Disease 2019.

Keywords:
COVID-19artificial intelligencecombination therapydrug developmentsevere acute respiratory syndrome coronavirus 2

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Area of Science:

  • Virology
  • Immunology
  • Computational Biology

Background:

  • The COVID-19 pandemic, caused by SARS-CoV-2, has severely impacted global healthcare and economies.
  • Current therapeutic strategies include vaccine and antibody development, with timelines for broad deployment estimated at 12-18 months.
  • Numerous clinical trials are evaluating repurposed drug combinations for COVID-19 treatment.

Purpose of the Study:

  • To explore the potential of artificial intelligence (AI) in optimizing combination therapy design for COVID-19.
  • To move beyond traditional drug screening and repurposing methods.

Main Methods:

  • Utilizing AI to analyze and predict optimal drug combinations.
  • Evaluating AI-driven approaches for rapid identification of synergistic therapeutic regimens.

Main Results:

  • AI can significantly expedite the identification of effective drug combinations.
  • AI-powered methods may uncover unexpected synergistic effects for enhanced treatment outcomes.

Conclusions:

  • Artificial intelligence offers a promising avenue for accelerating the development of effective COVID-19 combination therapies.
  • AI can lead to the rapid discovery of novel treatment strategies with potentially superior efficacy.