International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 2 April-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 17 Issue 2
April-June 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Artificial Intelligence and Natural Language Processing in Life Sciences: A Computational Bioinformatics Approach to Public Health Communication and Human Well-being

Author(s) Gajula Deepak
Country India
Abstract The contemporary life sciences are undergoing a profound epistemic transformation driven by the convergence of biological knowledge systems with artificial intelligence, computational modeling, and digital communication technologies. While traditional bioinformatics has historically concentrated on molecular and genomic datasets, emerging global challenges in public health, disease management, and human well-being demand a broader computational paradigm — one that interrogates not only biological signals but also the linguistic, cognitive, and social dimensions through which health knowledge is produced, disseminated, and interpreted. This paper advances a computational bioinformatics framework that integrates Artificial Intelligence (AI) and Natural Language Processing (NLP) to reposition public health communication as a central concern within life science research.

By conceptualizing biomedical texts, health narratives, policy documents, and public discourse as analyzable biological artefacts, this study demonstrates how sentiment analysis and linguistic pattern recognition can reveal population-level responses to health interventions, emerging disease anxieties, and structural information gaps within healthcare ecosystems. AI-driven NLP models are examined not merely as technical instruments, but as interpretive infrastructures capable of translating complex biomedical knowledge into socially intelligible, accessible, and ethically responsible communication systems. This approach is particularly significant in a global context shaped by pandemics, climate-induced health vulnerabilities, and the accelerated spread of health misinformation across digital platforms.

The paper further argues that computational bioinformatics must evolve beyond data-centric reductionism toward an integrative life science methodology that synthesizes biological insight, computational intelligence, and humanistic inquiry. By aligning AI-enabled public health communication with the United Nations Sustainable Development Goals — especially those related to good health and well-being, innovation, and social equity — this research foregrounds the role of responsible computational systems in advancing human welfare. Ethical accountability, algorithmic bias, transparency, and epistemic responsibility are treated as intrinsic dimensions of AI-driven life science research rather than peripheral considerations.

Ultimately, this study reimagines bioinformatics as a multidimensional life science discipline — one that not only decodes biological complexity, but also strengthens the communicative, cognitive, and societal pathways through which health knowledge sustains human well-being in an increasingly digital world.
Keywords Artificial Intelligence, Natural Language Processing, Bioinformatics, Computational Biology, Public Health Communication, Human Well-being, Sustainable Development
Published In Conference / Special Issue (Volume 17 | Issue 1) - One Day National Seminar on “Advances in Life Sciences for Diversity, Applications, and Human Welfare” (ALSDAHW-2025) (March 2026)
Published On 2026-03-16
DOI https://doi.org/10.71097/IJSAT.ALSDAHW-2025.126
View / Download PDF File

Share this


CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 17 Isu 1Cover Page Vol 16 Isu 3Cover Page Vol 16 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org