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Emerging Technologies: Gateway to Understand Molecular Insight of Diseases, Newer Drugs, Their Design, and Targeting

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Biomedical Translational Research

Abstract

In the present time, our understanding of disease pathogenesis has changed significantly due to the advent of newer technology and recent scientific breakthroughs. The network models consisting of the genomic regions are being prepared by combining the developed molecular phenotyping profiling with deep clinical phenotyping, which can influence the levels of transcripts, proteins, and metabolites and can be exploited in various ways in diagnosing diseases and personalized drug development. Digital biomarkers (BM) can support in disease diagnosis in multiple ways, including patient identification to treatment recommendation. The use of “omics” technology and large sample sizes has resulted in vast data sets, providing a wealth of knowledge about different illnesses and their links to intrinsic biology. The analysis of such extensive data requires sophisticated computational and statistical methods. New data can be converted into usable knowledge to allow for faster diagnosis and treatment choices using these advanced technologies, such as artificial intelligence, machine learning algorithms, computational biology, and digital BMs. As a result, it is expected that such advancements would aid in the fight against infectious disorders, epidemics, and pandemics. Hence, in this article, we would explore the importance of various AI tools that can be utilized for drug discovery and precision medicine.

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Authors and Affiliations

  1. Department of Biotechnology, Panjab University, Chandigarh, India

    R. C. Sobti

  2. Department of Zoology, Radhe Hari Post Graduate College, Kashipur, Uttarakhand, India

    Mamtesh Kumari

  3. Department of Zoology, Panjab University, Chandigarh, India

    Mandakini Singhla

  4. University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, India

    Ranjana Bhandari

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  1. R. C. Sobti
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  2. Mamtesh Kumari
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  3. Mandakini Singhla
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  4. Ranjana Bhandari
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Corresponding author

Correspondence to Mamtesh Kumari .

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Editors and Affiliations

  1. Department of Biotechnology, Panjab University, Chandigarh, Chandigarh, India

    R.C. Sobti

  2. St. Boniface Hospital Albrechtsen Research Centre, Institute of Cardiovascular Sciences, Winnipeg, MB, Canada

    Naranjan S. Dhalla

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Sobti, R.C., Kumari, M., Singhla, M., Bhandari, R. (2022). Emerging Technologies: Gateway to Understand Molecular Insight of Diseases, Newer Drugs, Their Design, and Targeting. In: Sobti, R., Dhalla, N.S. (eds) Biomedical Translational Research. Springer, Singapore. https://doi.org/10.1007/978-981-16-9232-1_1

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