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Amber Meulenbeld

Showing results (1-10 of 14) with videos related to

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International Journal of Epidemiology|May 7, 2026
Why can't epidemiology be automated (yet)? Perhaps it shouldn't beRoemer J Janse, Amber Meulenbeld
The Lancet. Haematology|December 3, 2025
Ferritin-guided iron supplementation in blood donors - Authors' replyJan Karregat, Amber Meulenbeld, Katja van den Hurk
Transfusion Medicine Reviews|April 3, 2026
Trust Over Knowledge: Rethinking Donor Iron Supplementation Strategies in Modern Blood Services-Authors' replyFleur Krommendijk, Amber Meulenbeld, Katja van den Hurk
Transfusion Medicine Reviews|January 23, 2026
Impact of Ferritin-Guided Donation Interval Policies in the Netherlands and FranceAmber Meulenbeld, Lucile Malard, Elodie Pouchol, et al.
Nederlands Tijdschrift Voor Geneeskunde|December 23, 2024
[Less iron deficiency in whole-blood donors: the effect of ferritin-guided donation intervals]Amber Meulenbeld, Steven Ramondt, Maaike G Sweegers, et al.
Lancet (London, England)|June 16, 2024
Effectiveness of ferritin-guided donation intervals in whole-blood donors in the Netherlands (FIND'EM): a stepped-wedge cluster-randomised trialAmber Meulenbeld, Steven Ramondt, Maike G Sweegers, et al.
Vox Sanguinis|March 16, 2023
An international comparison of haemoglobin deferral prediction models for blood bankingMarieke Vinkenoog, Jarkko Toivonen, Tinus Brits, et al.
The Lancet. Haematology|August 17, 2025
Ferritin-guided iron supplementation as an alternative or complement to prolonged blood donation intervals (FORTE): a double-blind, randomised, controlled trialJan H M Karregat, Amber Meulenbeld, Franke A Quee, et al.
Vox Sanguinis|April 18, 2024
Predicting haemoglobin deferral using machine learning models: Can we use the same prediction model across countries?Amber Meulenbeld, Jarkko Toivonen, Marieke Vinkenoog, et al.
The Lancet. Haematology|May 30, 2025
Machine-learning models to predict iron recovery after blood donation: a model development and external validation studyWanjin Li, Chen-Yang Su, Amber Meulenbeld, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
International Journal of Epidemiology|May 7, 2026
Why can't epidemiology be automated (yet)? Perhaps it shouldn't beRoemer J Janse, Amber Meulenbeld
The Lancet. Haematology|December 3, 2025
Ferritin-guided iron supplementation in blood donors - Authors' replyJan Karregat, Amber Meulenbeld, Katja van den Hurk
Transfusion Medicine Reviews|April 3, 2026
Trust Over Knowledge: Rethinking Donor Iron Supplementation Strategies in Modern Blood Services-Authors' replyFleur Krommendijk, Amber Meulenbeld, Katja van den Hurk
Transfusion Medicine Reviews|January 23, 2026
Impact of Ferritin-Guided Donation Interval Policies in the Netherlands and FranceAmber Meulenbeld, Lucile Malard, Elodie Pouchol, et al.
Nederlands Tijdschrift Voor Geneeskunde|December 23, 2024
[Less iron deficiency in whole-blood donors: the effect of ferritin-guided donation intervals]Amber Meulenbeld, Steven Ramondt, Maaike G Sweegers, et al.
Lancet (London, England)|June 16, 2024
Effectiveness of ferritin-guided donation intervals in whole-blood donors in the Netherlands (FIND'EM): a stepped-wedge cluster-randomised trialAmber Meulenbeld, Steven Ramondt, Maike G Sweegers, et al.
Vox Sanguinis|March 16, 2023
An international comparison of haemoglobin deferral prediction models for blood bankingMarieke Vinkenoog, Jarkko Toivonen, Tinus Brits, et al.
The Lancet. Haematology|August 17, 2025
Ferritin-guided iron supplementation as an alternative or complement to prolonged blood donation intervals (FORTE): a double-blind, randomised, controlled trialJan H M Karregat, Amber Meulenbeld, Franke A Quee, et al.
Vox Sanguinis|April 18, 2024
Predicting haemoglobin deferral using machine learning models: Can we use the same prediction model across countries?Amber Meulenbeld, Jarkko Toivonen, Marieke Vinkenoog, et al.
The Lancet. Haematology|May 30, 2025
Machine-learning models to predict iron recovery after blood donation: a model development and external validation studyWanjin Li, Chen-Yang Su, Amber Meulenbeld, et al.
Pageof 2