Public articles linked to the same research event.
Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine This review reflects on how infectious diseases shaped transfusion services from 2016 to 2026, covering innovations in donor selection, testing and pathogen reduction, notable pathogens including Zika virus, Plasmodium, Babesia and SARS-CoV-2, and favorable developments such as individualized risk assessment, relaxation of donor deferral policies, and AI and machine learning tools for surveillance and horizon scanning, while noting that many of these gains do not extend to low and low-middle income countries.
This review reflects on how infectious diseases shaped transfusion services from 2016 to 2026, covering innovations in donor selection, testing and pathogen reduction, notable pathogens including Zika virus, Plasmodium, Babesia and SARS-CoV-2, and favorable developments such as individualized risk assessment, relaxation of donor deferral policies, and AI and machine learning tools for surveillance and horizon scanning, while noting that many of these gains do not extend to low and low-middle income countries.
This review reflects on how infectious diseases shaped transfusion services from 2016 to 2026, covering innovations in donor selection, testing and pathogen reduction, notable pathogens including Zika virus, Plasmodium, Babesia and SARS-CoV-2, and favorable developments such as individualized risk assessment, relaxation of donor deferral policies, and AI and machine learning tools for surveillance and horizon scanning, while noting that many of these gains do not extend to low and low-middle income countries.
This review reflects on how infectious diseases shaped transfusion services from 2016 to 2026, covering innovations in donor selection, testing and pathogen reduction, notable pathogens including Zika virus, Plasmodium, Babesia and SARS-CoV-2, and favorable developments such as individualized risk assessment, relaxation of donor deferral policies, and AI and machine learning tools for surveillance and horizon scanning, while noting that many of these gains do not extend to low and low-middle income countries.