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01 · ABSTRACT

Abstract

Cystic Fibrosis (CF) is a complex, chronic, multi- system, genetic disease. In the recent years many breakthrough therapies have been developed that have revolutionized management and totally changed the disease trajectory. Artificial intelligence is a rapidly evolving scientific field that can revolutionize chronic disease management including CF care. This review focuses on AI contribution in advancing CF therapeutics development, developing CF prediction models to better understand the disease natural course and individualizing treatment plans, including enabling patients to improve their self-monitoring and self-care. Additionally, the role of AI in the management of antimicrobial resistance and CF complications is explored.
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02 · OJS METADATA

Keywords

cystic fibrosisCFTR modulator therapyCFTR gene sequencingsweat testnewborn screening
03 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 14 No 8 (2026): Vol 14 Issue 8 August 2026
SectionReview Articles
Published01 September 2026
DOI10.18103/mra.2026.0480
ISSN2375-1924
04 · RIGHTS & REUSE

Rights & reuse

This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.

Authors & affiliations

AP

A.E. PETROCHEILOU

Cystic Fibrosis Center, Agia Sofia Children's Hospita,l Athens, Greece, Current position: International Fellow, Department of Pediatrics, Division of Pediatric Allergy and Pulmonology, Seoul National University Bundang Hospital, Republic of Korea

SK

Sofia Konstantinopoulou

Division of Pulmonary and Sleep Medicine, Department of Pediatrics, Sheikh Khalifa Medical City, SEHA, Al Karama Street, Tibbiyya, Abu Dhabi, United Arab Emirates.

MM

Maria Moustaki

Cystic Fibrosis Center, Agia Sofia Children's Hospital, Athens, Greece

IL

Ioanna Loukou

Cystic Fibrosis Center, Agia Sofia Children's Hospital, Athens, Greece

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