Integrating Artificial Intelligence and Microfluidics Technology for Psoriasis Therapy: A Comprehensive Review for Research and Clinical Applications

Release time:2025-02-16

Impact Factor:6.8

DOI number:10.1002/aisy.202400558

Affiliation of Author(s):Xiangya School of Pharmaceutical Sciences in Central South University, Changsha, Hunan, China

Journal:Advanced Intelligent Systems

Place of Publication:德国

Abstract:Microfluidics has evolved into a transformative technology with far-reachingapplications in biomedical research. However, designing and optimizing custommicrofluidic systems remains challenging because of their inherent complexities.Integrating artificial intelligence (AI) with microfluidics promises to overcomethese barriers by leveraging AI algorithms to automate device design, streamlineexperimentation, and enhance diagnostic and therapeutic outcomes. Psoriasis isan incurable dermatological condition that is difficult to diagnose and treat owingto its complex pathogenesis. Traditional diagnostic and therapeutic approachesare often ineffective and fail to address individual variabilities in disease pro-gression and treatment responses. However, AI-coupled microfluidic platformshave the potential to revolutionize psoriasis research and clinical applicationswith expansive dermatological applications. AI-driven microfluidic chips withembedded biosensors have the potential to precisely detect biomarkers (BMs),manipulate biological samples, and mimic psoriasis-like in vivo and in vitromodels, thereby allowing real-time monitoring and optimized therapeutic testing.This review examines the transformative potential of AI and AI-poweredmicrofluidic platforms for advancing psoriasis research. It examines the designand mechanisms of AI-coupled microfluidic platforms for cell screening, diseasediagnosis, and drug delivery. It highlights recent advances, clinical applications,challenges, future perspectives, and ethical considerations to enhance person-alized care and patient outcomes.REVIEWwww.advintellsyst.comAdv. Intell. Syst. 2024, 2400558 2400558 (1 of 25) © 2024 The Author(s). Advanced Intelligent Systems published by Wiley-VCH GmbH

Co-author:A. Y. Seid, C. Nie, K. Zhang

First Author:I. Shaw

Indexed by:综述论文

Correspondence Author:C. Chen, Y. Xiao

Discipline:Medicine

First-Level Discipline:Pharmaceutical Science

Page Number:2400558

ISSN No.:2640-4567

Translation or Not:no

Date of Publication:2024-11-26

Included Journals:SCI