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A Review of Innovative Applications of Artificial Intelligence in Drug Development, Vaccine Design, and Treatment
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Reza Kazemi darsanaki *   |
| PhD Student, Nanobiotechnology, Biology Research Centre, Imam Hossein University, Tehran, Iran |
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Abstract: (2270 Views) |
In genetically modified organisms (GMOs), the genome structure is artificially manipulated to achieve desirable traits such as pest and herbicide resistance, drought tolerance, or increased yield. The development and widespread cultivation of these plants in the last three decades, and the significance of verifying and quantifying authorized events in food and feed, have driven the development of rapid, accurate, and sensitive detection methods. Although PCR-based methods are frequently utilized for GMO detection, limitations such as the need for complex equipment, time-intensive procedure, and high costs have made their use challenging in some cases. Therefore, alternative methods for identifying and quantifying genetically modified organisms are necessary. In this context, DNA biosensors have emerged as promising tools for specific and quantitative detection of nucleotide sequences. DNA biosensors operate based on the specific interaction between a single-stranded DNA probe immobilized on the sensor surface and a complementary target sequence. This DNA hybridization event produces a detectable signal that can be measured using an optical, electrochemical, or piezoelectric transduction. Recent advancements in nanotechnology and biosensor development hold the potential to enhance the sensitivity, specificity, and speed of DNA biosensors, paving the way for their broader application.
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| Keywords: Drug, Treatment, Vaccine, Artificial Intelligence |
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Full-Text [PDF 601 kb]
(170 Downloads)
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Type of Study: Review |
Subject:
Special
Received: 2024/12/6 | Accepted: 2025/01/22 | Published: 2025/12/10
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