Project Details
Description
Predicting red blood cell antigen types using genetic information and AI techniques
Key findings
Developed AI models that predict blood types with over 99% accuracy for 33 blood antigens
| Status | Finished |
|---|---|
| Effective start/end date | 31/12/2018 → 31/12/2022 |
Research output
- 1 Journal article
-
A large cohort study of the effects of Lewis, ABO, 13 other blood groups, and secretor status on COVID-19 susceptibility, severity, and long COVID-19
Moslemi, C., Sækmose, S., Larsen, R., Brodersen, T., Didriksen, M., Hjalgrim, H., Banasik, K., Nielsen, K. R., Bruun, M. T., Dowsett, J., Kasperen, K. A., Mikkelsen, S., Hansen, T. F., Ullum, H., Erikstrup, C., Olsson, M. L., Ostrowski, S. R. & Pedersen, O. B., Jan 2023, In: Transfusion. 63, 1, p. 47-58 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile14 Link opens in a new tab Citations (Scopus)48 Downloads (Pure)