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Lauric Ferrat

@laferrat.bsky.social
16 followers 27 following 3 posts
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Lauric Ferrat @laferrat.bsky.social · 11/02/2026
Many people to thanks for this international and interdisciplinary work Gonçalo Leiria, Brett McQueen, Jonathan Fieldsend, Richard Oram, Marian Rewers, Bill Hagopian, Conner Jackson and Breakthrough T1D
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Lauric Ferrat @laferrat.bsky.social · 11/02/2026
The top strategy—autoantibody testing in high-genetic-risk groups—achieves an ICER of $28k per life year gained. More details in the article.
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Lauric Ferrat @laferrat.bsky.social · 11/02/2026
Our new microsimulation model to optimise T1D screening by balancing cost, pragmatism, and reduced diabetic ketoacidosis is out. #T1D #T1Dscreening doi.org/10.1007/s402...
doi.org
Development of a Patient-Level Multi-objective Optimisation Model for Screening Strategies for Childhood Type 1 Diabetes - PharmacoEconomics
Objective To develop a patient-level simulation model of type 1 diabetes (T1D) covering both childhood and adulthood. The goal is to identify and evaluate the cost-effectiveness of optimal screening f...
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Reposted by Lauric Ferrat
Harry Wright @hiwwright.bsky.social · 06/02/2026
Excited to share my first preprint on federated conditional analysis of rare single variant and aggregate association tests across six genetically-inferred ancestry groups in All of Us and UK Biobank doi.org/10.64898/202...
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Reposted by Lauric Ferrat
Diabetologia @diabetologiajnl.bsky.social · 23/05/2025
Addressing type 1 diabetes prediction challenges: study compares trade-offs between cost, performance models and participant time and provides insights for tailored risk screening. #T1D #DiabetesResearch #RiskScreening link.springer.com/article/10.1... 🔓
link.springer.com
Type 1 diabetes prediction in autoantibody-positive individuals: performance, time and money matter - Diabetologia
Aims/hypothesis Efficient prediction of clinical type 1 diabetes is important for risk stratification and monitoring of autoantibody-positive individuals. In this study, we compared type 1 diabetes pr...
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Reposted by Lauric Ferrat
erinltempleman.bsky.social @erinltempleman.bsky.social · 23/07/2025
🚨Big news! Excited to share my first PhD paper!🎉 We validated & improved a T1D risk model using TrialNet data (originally from TEDDY), boosting accuracy 📈 bmcmedicine.biomedcentral.com/articles/10.... Try the web tool 👉 t1dpredictor.diabetesgenes.org #T1D #RiskPrediction #PrecisionMedicine #TrialNet
bmcmedicine.biomedcentral.com
Development and recalibration of a multivariable type 1 diabetes prediction model for type 1 diabetes across multiple screening studies - BMC Medicine
Background Accurate type 1 diabetes prediction is important to facilitate screening for pre-clinical type 1 diabetes to enable potential early disease-modifying interventions and to reduce the risk of...
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