Synergistic Strategies in Modern Drug Development: Integration of Rehabilitation Techniques, Phytoconstituents, and Artificial Intelligence

ABSTRACT: The evolution of modern drug development is increasingly shaped by interdisciplinary strategies that synergize rehabilitation sciences, natural product pharmacology, and artificial intelligence (AI). This manuscript explores an integrated framework wherein audiology and speech-language pathology (ASLP) rehabilitation techniques intersect with phytoconstituents and AI-driven analytics. Through this fusion, innovative and personalized therapeutic modalities emerge, enhancing the efficacy, accessibility, and precision of modern healthcare interventions. The article details how Audiology and Speech-Language Pathology based interventions are central to neurorehabilitation, how phytochemicals serve as therapeutic and adjunct agents, and how AI accelerates diagnosis, treatment planning, and compound discovery. Clinical and ethical considerations surrounding these integrations are also explored, offering a futuristic roadmap for integrated healthcare. Keywords: Drug Development, Rehabilitation, Phytoconstituents, Artificial Intelligence, Speech-Language Pathology, Audiology, Precision Medicine, ASLP.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-18
DOI
https://doi.org/10.5281/zenodo.15688764
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Synergistic Strategies in Modern Drug Development: Integration of Rehabilitation Techniques, Phytoconstituents, and Artificial Intelligence

Zenodo (CERN European Organization for Nuclear Research)
earthquake and tectonic studies
article

Synergistic Strategies in Modern Drug Development: Integration of Rehabilitation Techniques, Phytoconstituents, and Artificial Intelligence

article en

Abstract

ABSTRACT: The evolution of modern drug development is increasingly shaped by interdisciplinary strategies that synergize rehabilitation sciences, natural product pharmacology, and artificial intelligence (AI). This manuscript explores an integrated framework wherein audiology and speech-language pathology (ASLP) rehabilitation techniques intersect with phytoconstituents and AI-driven analytics. Through this fusion, innovative and personalized therapeutic modalities emerge, enhancing the efficacy, accessibility, and precision of modern healthcare interventions. The article details how Audiology and Speech-Language Pathology based interventions are central to neurorehabilitation, how phytochemicals serve as therapeutic and adjunct agents, and how AI accelerates diagnosis, treatment planning, and compound discovery. Clinical and ethical considerations surrounding these integrations are also explored, offering a futuristic roadmap for integrated healthcare. Keywords: Drug Development, Rehabilitation, Phytoconstituents, Artificial Intelligence, Speech-Language Pathology, Audiology, Precision Medicine, ASLP.

Zenodo (CERN European Organization for Nuclear Research)
Shree Guru Gobind Singh Tricentenary University (IN)
Openalex Percentile: Top 52%
earthquake and tectonic studies
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