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Artificial intelligence in biology and medicine
Liliya Iskuzhina1, Zafarkhuja Turaev1, Artem Rozhin1
1Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008, Kazan, Republic of Tatarstan, Russia.
Artificial intelligence (AI) is revolutionizing medicine and biology, enhancing diagnostics, vaccine development, and scientific discovery. Responsible AI implementation is crucial to maximize benefits while mitigating risks in these fields.
Area of Science:
- Medicine
- Biology
- Biotechnology
- Genomics
- Proteomics
- Cell Biology
- Synthetic Biology
Background:
- Artificial intelligence (AI) offers transformative potential across medical and biological sciences.
- Its applications span from disease diagnosis and treatment to fundamental biological research.
Purpose of the Study:
- To explore the multifaceted role of AI in medicine and biology.
- To examine AI's impact on specific areas like genomics, proteomics, and vaccine development.
- To discuss future AI trends, challenges, and ethical considerations.
Main Methods:
- Literature review and analysis of current AI applications in medicine and biology.
- Exploration of emerging AI technologies, including explainable AI and biologically inspired models.
- Discussion of AI's synergy with robotics and nanotechnology.
Main Results:
- AI significantly enhances medical diagnosis, vaccine development (e.g., for COVID-19), and disease treatment.
- AI accelerates discovery in genomics, proteomics, cell, and synthetic biology.
- Future directions include explainable AI, biologically inspired models, and integration with robotics/nanotechnology.
Conclusions:
- AI holds immense potential to improve quality of life and accelerate scientific breakthroughs.
- Ethical, legal, and data quality challenges must be addressed for responsible AI adoption.
- Preserving scientific diversity and innovation requires careful management of AI's integration into research.
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