Structural Insights in Severe Asthma Paving the Way for More Precise Treatment Stratification
Featuring insights from prof. Arnaud Bourdin, University of Montpellier Severe Asthma research is entering a new phase. Over the past decade, biologic therapies have transformed the treatment landscape for patients with uncontrolled disease, particularly those with eosinophilic inflammation. Yet despite these advances, a fundamental challenge remains: many patients still respond unpredictably to treatment. Understanding why some patients benefit […]
Redefining Bronchiectasis Trials Through AI-Powered Image Analysis
By Prof. dr. Harm Tiddens, MD I still remember the early days of my clinical career, poring over high-resolution chest CTs in children with cystic fibrosis. We’d look for the telltale signs of dilated bronchi, thickened walls, mucus plugs, trying to make sense of structural abnormalities with the naked eye. Even with the best visual scoring […]
Comprehensive assessment of mucus impaction with Artificial Intelligence
By Thirona Editorial Team How can automatic detection of mucus plugs combined with a quantitative assessment of wall thickening provide a full picture of mucus impaction? Mucus impaction is a prevalent characteristic in many lung diseases. Understanding it is crucial to make fully informed treatment decisions. In this blog, we discuss mucus, challenges associated with it […]
Artificial Intelligence detects substantial airway damage on CT scans of children with severe asthma
By Prof. dr. Harm Tiddens, MD This blog provides a brief summary of a recent study “Children with severe asthma have substantial structural airway changes on computed tomography” by Wytse B. van den Bosch et al. (ERS Journal, Jan’2024), highlighting key insights and potential impact on treatment of the disease. Around 10% of children with asthma are classified […]
AI in phenotyping of pulmonary blood vessels: Redefining diagnosis and treatment of pulmonary vascular diseases
By Leticia Gallardo Estrella, PhD Leticia Gallardo Estrella, Lead Deep Learning Engineer at Thirona, shares the recent developments in vascular phenotyping of pulmonary disease, elaborating on the possibilities and benefits of AI-powered pulmonary vessel differentiation. AI may be a buzzword in many industries, but for us, the medical industry, research community and clinical professionals, its potential […]
4 Critical Steps to Effective Clinical Trials with Lung Imaging
By Jean-Paul Charbonnier, PhD Jean-Paul Charbonnier, CIO of Thirona explains 4 critical steps to effectively applying AI-enabled lung image analysis in pulmonary clinical trials. Why do so many trials struggle with getting it right? Quantitative evaluation of medical images with artificial intelligence (AI) plays an increasingly important role in clinical trials for drug and treatment development. […]
Beyond the Algorithm – Driving Clinical Impact Through Compliance
Innovation only matters when it can be trusted in clinical practice. This article explores how regulatory rigor and a strong quality culture enable AI solutions to deliver real, measurable impact for patients and clinicians.
Optimizing Imaging Outcomes: Why Lung Volume Control Can Make or Break the Success of a Respiratory Clinical Trial
By Thirona Editorial Team What if one often underestimated step in image acquisition could determine the success of your clinical trial outcomes? In this blog, we explore how lung volume control can critically influence the reproducibility and sensitivity of imaging results – and, ultimately, the overall success of imaging-based respiratory trials. Drawing from over a decade […]
10 years of innovating AI in lung imaging – What a journey!
By dr. Eva van Rikxoort This month, Thirona celebrates the 10-year anniversary, so while the world is bustling with new applications for AI, we recognize a decade of working towards impact in treatment of lung diseases. Thirona then… When I think back to when I first started Thirona, I wanted to take the latest research and […]
Automatic airway analysis with artificial intelligence
By Rūdolfs Latišenko Rudolfs Latisenko, Senior Deep Learning Engineer at Thirona, explains Thirona’s capabilities in artificial intelligence-based airway analysis of chest CT images: How it works and what insights can be generated with a consistent accuracy and reliability. Why are airways important to objectively assess lung disease? Airways play a central role in the functioning of the respiratory system. The whole […]
Phenotyping vascular lung disease patients: new ways with imaging-based markers
Featuring insights from prof. Julien Guiot, CHU Liege Following several abstract presentations at ATS Conference 2023, we have asked Julien Guiot – Head of Clinics at CHU Liège, Belgium and Associate Professor at ULiège – to comment on their recent studies in the field of imaging-based biomarkers in vascular lung diseases. Prof. Guiot is managing […]
From Scientist to CEO: My journey to pioneer AI in Precision Medicine
By Eva van Rikxoort, PhD Eva van Rikxoort, CEO of Thirona, tells how combining her scientific experience with personal purpose led to her founding a company to develop software for advanced lung image analysis. Making the move from scientist to CEO is not a transition I ever expected to make. My interest in tech initially led […]