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September 10, 2025International Journal of Environmental Sciences

A Decade Of AI-Accelerated Drug Discovery Against Antimicrobial Resistance (2015–2025): Insights And Future Directions

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Authors

PMPakiso Moses MakhoahleCentral University of Technology

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Overview

Systematic review highlights AI's role in drug discovery and diagnostics for antimicrobial resistance, indicating areas for improvement.

Key Points

  • AI has enhanced the identification of novel antimicrobial compounds, accelerating drug discovery.
  • Machine learning models improved predictive accuracy for antimicrobial resistance patterns, facilitating intervention.
  • Systematic review synthesized literature across five databases, revealing critical insights into AI's application in AMR.
  • Challenges persist in data management and ethical concerns, calling for integrated AI frameworks and policy support.

Cite This Study

Pakiso Moses Makhoahle (2025) studied this question.

synapsesocial.com/papers/68c1b5fe54b1d3bfb60ea9cfhttps://doi.org/10.64252/aexcea94
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