Daniel Lorand

Artificial Intelligence-Based Disease Activity Monitoring to Personalized Neovascular Age-Related Macular Degeneration Treatment: A Feasibility Study

Zufar Mulyukov, Pearse A. Keane, Jayashree Sahni, Sandra Liakopoulos et autres

Purpose: To evaluate the performance of a disease activity (DA) model developed to detect DA in participants with neovascular age-related macular degeneration (nAMD). Design: Post hoc analysis. Participants: Patient dataset from the phase III HAWK and HARRIER (H&H) studies. Methods: An artificial …

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Therapeutic response in the HAWK and HARRIER trials using deep learning in retinal fluid volume and compartment analysis

Ursula Schmidt‐Erfurth, Zufar Mulyukov, Bianca S. Gerendas, Gregor S. Reiter et autres

OBJECTIVES: To assess the therapeutic response to brolucizumab and aflibercept by deep learning/OCT-based analysis of macular fluid volumes in neovascular age-related macular degeneration. METHODS: In this post-hoc analysis of two phase III, randomised, multi-centre studies (HAWK/HARRIER), 1078 and 739 treatment-naive eyes receiving …

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A framework to guide dose & regimen strategy for clinical drug development

Oliver Sander, Baldur Magnusson, Inga Ludwig, Astrid Jullion et autres

Optimizing new drug therapies remains a challenge for clinical development, despite the use of ever more sophisticated quantitative methodologies. Although conceptually simple, the idea of finding the right treatment at the right dose for the right patient to ensure an appropriate balance …

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Does real-time artificial intelligence-based visual pathology enhancement of three-dimensional optical coherence tomography scans optimise treatment decision in patients with nAMD? Rationale and design of the RAZORBILL study

Frank G. Holz, Rodrigo Abreu González, Francesco Bandello, Renaud Duval et autres

Background/rationale Artificial intelligence (AI)-based clinical decision support tools, being developed across multiple fields in medicine, need to be evaluated for their impact on the treatment and outcomes of patients as well as optimisation of the clinical workflow. TheRAZORBILLstudy will investigate the impact …

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Robust ΔΔct estimate

Arun Kumar, Daniel Lorand

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A comparison of the therapeutic response between brolucizumab and aflibercept in the HAWK & HARRIER trials using deep learning-based OCT analysis

Ursula Schmidt‐Erfurth, Zufar Mulyukov, Bianca S. Gerendas, Philippe Margaron et autres

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Detection of retinal fluids in OCT scans by an automated deep learning algorithm compared to human expert grading in the HAWK & HARRIER trials

Hrvoje Bogunović, John W. Seaman, Philippe Margaron, Philipp Seeböck et autres

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A practical design for a dual‐agent dose‐escalation trial that incorporates pharmacokinetic data

Amy Cotterill, Daniel Lorand, Jixian Wang, Thomas Jaki

Traditionally, model-based dose-escalation trial designs recommend a dose for escalation based on an assumed dose-toxicity relationship. Pharmacokinetic data are often available but are currently only utilised by clinical teams in a subjective manner to aid decision making if the dose-toxicity model recommendation …

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Effect of Various Diuretic Treatments on Rosiglitazone-Induced Fluid Retention

Janaka Karalliedde, Robin E. Buckingham, M. Starkie, Daniel Lorand et autres

The efficacy of diuretics in the management of rosiglitazone (RSG)-induced fluid retention was evaluated in a multicenter, randomized, open-label, parallel-group, proof-of-concept study. Of 381 patients who had type 2 diabetes and were on treatment with sulfonylurea or sulfonylurea plus metformin, 260 (63% …

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Treatment of the fluids retention connected to the rosiglitazone

Amos Ankotché, Michel Marre, B Guerci, Janaka Karalliedde et autres

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