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Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
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Fighting COVID-19 with Artificial Intelligence.

Stefania Monteleone1, Tahsin F Kellici2, Michelle Southey2

  • 1Evotec (UK) Ltd., Abingdon, Oxfordshire, UK. stefania.monteleone@evotec.com.

Methods in Molecular Biology (Clifton, N.J.)
|November 3, 2021
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) accelerates drug repurposing for COVID-19 treatment, addressing the need for effective therapies against evolving variants. AI aids in identifying drug candidates and monitoring the pandemic, though challenges remain in its application.

Keywords:
Artificial intelligenceCOVID-19Drug repurposingMachine learningSARS-CoV-2

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Area of Science:

  • Computational biology and pharmacology
  • Infectious disease research
  • Artificial intelligence in medicine

Background:

  • The COVID-19 pandemic necessitates rapid development of effective treatments.
  • Vaccine development offers hope, but viral mutations pose a continuous threat, maintaining the demand for therapeutic drugs.
  • Drug repurposing presents a faster alternative to novel drug discovery but is still insufficient for pandemic control.

Purpose of the Study:

  • To examine the impact of artificial intelligence (AI) on accelerating drug repurposing for COVID-19 therapeutics.
  • To identify the challenges encountered in applying AI to drug repurposing during the COVID-19 pandemic.
  • To highlight AI's role in drug candidate selection, pandemic monitoring, and patient diagnosis.

Main Methods:

  • Review of AI applications in identifying and repurposing existing drugs for COVID-19 treatment.
  • Analysis of AI's contribution to hastening the drug discovery pipeline.
  • Assessment of AI's role in epidemiological surveillance and diagnostic support.

Main Results:

  • AI has significantly expedited the identification of potential drug candidates for COVID-19 repurposing.
  • AI tools have been instrumental in monitoring pandemic spread and improving diagnostic speed.
  • Despite AI's benefits, challenges persist in its integration and effectiveness for rapid therapeutic deployment.

Conclusions:

  • Artificial intelligence is a critical tool in the fight against COVID-19, particularly in accelerating drug repurposing efforts.
  • Continued research and development are needed to overcome challenges and fully leverage AI's potential in combating viral threats.
  • AI's multifaceted role extends from drug discovery to pandemic management, underscoring its importance in public health crises.