Finally, this work would not have been possible without support from my PhD program and funders 🙏

@mcgill.ca

Twitter handles:
@QLSmcgill - 1st year scholarship
@LadyDavisJGH - LDI-TD Bank Scholarship
@FRQS - Doctoral Scholarship
@CIHR_IRSC - CGS Doctoral Award (FRN: 187673)

Big thanks to blood operators and collaborators!

USA:
www.vitalant.org
Roberta Bruhn
Zhanna Kaidarova
Marjorie D Bravo
Brian Custer

South Africa:
sanbscpd.co.za
Ronél Swanevelder
Karin van den Berg

Netherlands
sanquin.nl
Amber Meulenbeld
Mart P Janssen

Huge thanks to

🙇‍♀️co-first author Wanjin “Jennifer” Li (McGill Epidemiology PhD student)

🙇‍♂️W Alton Russell (McGill Epidemiology Assistant Prof) for their support!

Thanks also to co-authors
@mcgill.ca
Huzbah Jagirdar
Sophie Cao (Comp Sci)

👉We worked with blood operators in three countries and showed that ML models accurately predict donors’ iron levels at donation.

👉This suggests that prediction models could be a valuable tool for personalizing policies that govern the frequency of blood donations.