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Artificial Intelligence's Impact on Drug Discovery and Development From Bench to Bedside

Artificial intelligence (AI) techniques have the potential to revolutionize drug release modeling, optimize therapy for personalized medicine, and minimize side effects. By applying AI algorithms, researchers can predict drug release profiles, incorporate patient-specific factors, and optimize dosag...

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Detalles Bibliográficos
Autores principales: Vidhya, K S, Sultana, Ayesha, M, Naveen Kumar, Rangareddy, Harish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597591/
https://www.ncbi.nlm.nih.gov/pubmed/37881323
http://dx.doi.org/10.7759/cureus.47486
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author Vidhya, K S
Sultana, Ayesha
M, Naveen Kumar
Rangareddy, Harish
author_facet Vidhya, K S
Sultana, Ayesha
M, Naveen Kumar
Rangareddy, Harish
author_sort Vidhya, K S
collection PubMed
description Artificial intelligence (AI) techniques have the potential to revolutionize drug release modeling, optimize therapy for personalized medicine, and minimize side effects. By applying AI algorithms, researchers can predict drug release profiles, incorporate patient-specific factors, and optimize dosage regimens to achieve tailored and effective therapies. This AI-based approach has the potential to improve treatment outcomes, enhance patient satisfaction, and advance the field of pharmaceutical sciences. International collaborations and professional organizations play vital roles in establishing guidelines and best practices for data collection and sharing. Open data initiatives can enhance transparency and scientific progress, facilitating algorithm validation.
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spelling pubmed-105975912023-10-25 Artificial Intelligence's Impact on Drug Discovery and Development From Bench to Bedside Vidhya, K S Sultana, Ayesha M, Naveen Kumar Rangareddy, Harish Cureus Healthcare Technology Artificial intelligence (AI) techniques have the potential to revolutionize drug release modeling, optimize therapy for personalized medicine, and minimize side effects. By applying AI algorithms, researchers can predict drug release profiles, incorporate patient-specific factors, and optimize dosage regimens to achieve tailored and effective therapies. This AI-based approach has the potential to improve treatment outcomes, enhance patient satisfaction, and advance the field of pharmaceutical sciences. International collaborations and professional organizations play vital roles in establishing guidelines and best practices for data collection and sharing. Open data initiatives can enhance transparency and scientific progress, facilitating algorithm validation. Cureus 2023-10-22 /pmc/articles/PMC10597591/ /pubmed/37881323 http://dx.doi.org/10.7759/cureus.47486 Text en Copyright © 2023, Vidhya et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Healthcare Technology
Vidhya, K S
Sultana, Ayesha
M, Naveen Kumar
Rangareddy, Harish
Artificial Intelligence's Impact on Drug Discovery and Development From Bench to Bedside
title Artificial Intelligence's Impact on Drug Discovery and Development From Bench to Bedside
title_full Artificial Intelligence's Impact on Drug Discovery and Development From Bench to Bedside
title_fullStr Artificial Intelligence's Impact on Drug Discovery and Development From Bench to Bedside
title_full_unstemmed Artificial Intelligence's Impact on Drug Discovery and Development From Bench to Bedside
title_short Artificial Intelligence's Impact on Drug Discovery and Development From Bench to Bedside
title_sort artificial intelligence's impact on drug discovery and development from bench to bedside
topic Healthcare Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597591/
https://www.ncbi.nlm.nih.gov/pubmed/37881323
http://dx.doi.org/10.7759/cureus.47486
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