Book Title: Molecular Diagnostics and Genomic Medicine: Transforming Healthcare with AI
Editors: Dr. Alok Kumar Srivastav, Dr. Priyanka Das, Dr. Babasaheb Ghodke, and Dr. Nikita Pathak
Chapter: 1
DOI: https://doi.org/10.59646/978-81-69297-97-4_1
Authors: Alok Kumar Srivastav, Priyanka Das, Babasaheb Ghodke, Nikita Pathak
Abstract
Genome biology forms the foundation of modern molecular diagnostics by explaining how genetic information is stored, expressed, and translated into functional outcomes in health and disease. The structure and function of DNA, RNA, and proteins are central to understanding the flow of genetic information through the central dogma and the regulation of gene expression. Chromosomal organization and mutations, including structural and numerical abnormalities, play significant roles in disease development and diagnosis. Genetic polymorphisms contribute to human variation and are widely used in identity profiling and population studies. Together, these concepts support the advancement of precision medicine, enabling more accurate diagnosis, risk assessment, and personalized treatment strategies in modern healthcare.
Keywords: Genome biology; Gene expression; Chromosomal mutations; DNA polymorphism; Pharmacogenomics; Precision medicine.
References
- Alberts, B., Johnson, A., Lewis, J., et al. (2015). Molecular biology of the cell (6th ed.). Garland Science.
- Srivastav, A. K., Das, P., & Srivastava, A. K. (2024). Biotech and IoT: An Introduction Using Cloud-Driven Labs. Apress, Berkeley, CA.
https://doi.org/10.1007/979-8-8688-0527-1 - Srivastav, D.A.K., Das, D.P. (2024). Emerging Technologies in Healthcare 4.0: AI and IoT Solutions. Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5
- Collins, F. S., & Varmus, H. (2015). A new initiative on precision medicine. New England Journal of Medicine, 372, 793–795. https://doi.org/10.1056/NEJMp1500523
- Srivastav, A.K., & Das, P. (2025). Artificial Intelligence in the Production of Biotherapeutics: Principles, Practices and Standards (1st ed.). CRC Press. https://doi.org/10.1201/9781003624592
- Srivastav, D.A.K., Das, D.P. (2025). Nanobiotechnology: AI and IoT Applications and Emerging Implications. Apress, Berkeley, CA.
https://doi.org/10.1007/979-8-8688-1775-5 - Srivastav, A.K., & Das, P. (2025). Introduction to Biomanufacturing. In: Artificial Intelligence in the Production of Biotherapeutics: Principles, Practices and Standards (1st ed.) (pp 1-32). CRC Press. https://doi.org/10.1201/9781003624592 -1
- Doudna, J. A., & Cech, T. R. (2002). The chemical repertoire of natural ribozymes. Nature, 418, 222–228. https://doi.org/10.1038/418222a
- Srivastav, D.A.K., Das, D.P. (2025). Nanotechnology in Medicine. In: Nanobiotechnology: AI and IoT Applications and Emerging Implications (pp 303-311). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1775-5_14
- Srivastav, A. K., Das, P., & Srivastava, A. K. (2024). Introduction to Biotechnology and IoT Integration. In Biotech and IoT: An Introduction Using Cloud-Driven Labs (pp. 1-24). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-0527-1_1
- Srivastav, D.A.K., Das, D.P. (2024). Integration of AI and IoT in Healthcare 4.0. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 115-130). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_4
- Ingelman-Sundberg, M. (2005). The human genome project and pharmacogenetics. Pharmacogenomics Journal, 5, 82–90. https://doi.org/10.1038/sj.tpj.6500295
- Srivastav, A. K., Das, P., & Srivastava, A. K. (2024). Healthcare Revolution. In Biotech and IoT: An Introduction Using Cloud-Driven Labs (pp. 75-113). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-0527-1_4
- Srivastav, A. K., Das, P., & Singha, T. (2024). AI and Biotech in Pharmaceutical Research: Synergies in Drug Discovery. Namya Press.
- Relling, M. V., & Evans, W. E. (2015). Pharmacogenomics in clinical practice. Nature, 526, 343–350. https://doi.org/10.1038/nature15817
- Srivastav, D.A.K., Das, D.P. (2024). Introduction to Healthcare 4.0. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 1-22). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_1