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Beginning in 2021, Rexer Analytics has been assisting a team of international transfusion medicine professional in conducting and publishing transfusion medicine research.  Publications include:

• Gammon, R. R., Hindawi, S., Al-Riyami, A. Z., Ang, A. L., Bazin, R., Bloch, E. M., Counts, K., de Angelis, V., Goel, R., Grubovic Rastvorceva, R. M., Pati, I., Lee, C. K., La Raja, M., Mengoli, C., Oreh, A., Patidar, G. K., Rahimi-Levene, N., Ravula, U., Rexer, K., ... Vermeulen, M. (2024). The use of predictive modelling to determine the likelihood of donor return during the COVID-19 pandemic. Transfusion Medicine, 34(5), 333-343. PubMed  PMID: 39113629. https://doi.org/10.1111/tme.13071
• Gammon RR, Conceicao M, Benitez N, Bright F, Counts K, Resto C, Rexer K. Comparison of RhD Typing Results by Serology and Molecular Methods. Lab Med. 2023 Mar 7;54(2):190192. PubMed PMID: 36124749. https://pubmed.ncbi.nlm.nih.gov/36124749/
• Gammon R, Rahimi-Levene N, So-Osman C, Grubovic Rastvorceva R, Al-Riyami A, Rexer K, Hindawi S, Vermeulen M, Counts K. Meeting blood demand through use of data modelling and artificial intelligence. Vox Sanguinis. 2022; 117(Suppl 1):67-68.

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