Lauric Ferrat
@laferrat.bsky.social
📤 16
📥 27
📝 3
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...
loading . . .
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...
https://doi.org/10.1007/s40273-025-01581-1
3 days ago
1
2
2
reposted by
Lauric Ferrat
Harry Wright
8 days ago
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...
1
20
14
reposted by
Lauric Ferrat
Diabetologia
9 months ago
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...
🔓
loading . . .
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...
https://link.springer.com/article/10.1007/s00125-025-06434-2
0
6
2
reposted by
Lauric Ferrat
7 months ago
🚨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
loading . . .
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...
https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-025-04225-5
0
11
6
you reached the end!!
feeds!
log in
