The integration of artificial intelligence and biotechnology in medicine: accelerating novelty in biomarker-targeted discovery and drug delivery systems

Biotechnology and artificial intelligence (AI) are two transformative fields converging to benefit STEM because of their reliance on data and models. The tools from both fields have redefined and improved translational performance of laboratory investigations on drug discovery, design, development and delivery for personalized treatment. Although the long term merit of this integration of AI in biotechnology outweighs the demerit but is the current trend suitable in application for drug delivery systems (DDS) upgrades. In this article, we indicated how some key AI-biotech research is supporting accelerated novelty in biomarker-targeted discovery and DDS for disease management rather than merely incremental changes in 21st century. • Biotechnology and artificial intelligence (AI) are reliant on data and models. • Both tools have improved field investigations on drug discovery and delivery. • These two giants are accelerating novelty rather than redundancy in 21st century.

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Publication Details

Journal
Advances in Biomarker Sciences and Technology
Published
2025-12-19
DOI
https://doi.org/10.1016/j.abst.2025.12.002
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

The integration of artificial intelligence and biotechnology in medicine: accelerating novelty in biomarker-targeted discovery and drug delivery systems

Advances in Biomarker Sciences and Technology
Computational Drug Discovery Methods
article

The integration of artificial intelligence and biotechnology in medicine: accelerating novelty in biomarker-targeted discovery and drug delivery systems

article en

Abstract

Biotechnology and artificial intelligence (AI) are two transformative fields converging to benefit STEM because of their reliance on data and models. The tools from both fields have redefined and improved translational performance of laboratory investigations on drug discovery, design, development and delivery for personalized treatment. Although the long term merit of this integration of AI in biotechnology outweighs the demerit but is the current trend suitable in application for drug delivery systems (DDS) upgrades. In this article, we indicated how some key AI-biotech research is supporting accelerated novelty in biomarker-targeted discovery and DDS for disease management rather than merely incremental changes in 21st century. • Biotechnology and artificial intelligence (AI) are reliant on data and models. • Both tools have improved field investigations on drug discovery and delivery. • These two giants are accelerating novelty rather than redundancy in 21st century.

Advances in Biomarker Sciences and TechnologyVol. 8
Federal University of Technology (NG), University of Colorado Boulder (US), University of Benin (NG), RMIT University (AU)
Openalex Percentile: Top 29%
Computational Drug Discovery Methods
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The integration of artificial intelligence and biotechnology in medicine: accelerating novelty in biomarker-targeted discovery and drug delivery systems · Advances in Biomarker Sciences and Technology (2025) | TGRS Research Map | TGRS