Despite good vaccine coverage and careful blood donor selection policies, hepatitis B virus (HBV) is still the most frequent viral infection among blood donors (BDs) in Italy, mostly in the occult form (OBI). We studied the virological features of OB...
Biomedical and environmental sciences : BES
29335060
To characterize long-term nonprogressors (LTNPs) and viremia controllers (VCs), infected with HIV-1 through contaminated blood donation or transfusion between 1992 and 1996 in Henan, China. LTNPs and VCs were defined by CD4+T lymphocyte (CD4) count a...
BACKGROUND: Hepatitis C virus (HCV) is a major health problem worldwide particularly in Egypt. The humoral immune response has an important function in the control of HCV infection. The aim of this study was to investigate the role of neutralizing an...
Central European journal of public health
28095288
BACKGROUND AND AIM: Transfusion transmitted diseases (TTD) are a major challenge to transfusion services all over the world. Cytomegalovirus (CMV) is considered one of the main viruses associated with blood transfusion. As CMV screening is not includ...
Questions of saving of the patient's blood and limitation of the use of donated blood in the aortic surgery remain relevant in contrast with interventions on the valves of the heart and coronary arteries. In this regard, the aim of the study was to d...
The cytokinesis-block micronucleus (CBMN) assay is considered to be the most suitable biodosimetry method for automation. Previously, we automated this assay on a commercial robotic biotech high-throughput system (RABiT-II) adopting both a traditiona...
Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine
36708915
BACKGROUND: Blood donation forecasting is a critical part of blood supply chain management. However, few studies have focused on modeling blood donation with different emergency factors. The purpose of this study was to investigate the effects of dif...
BACKGROUND AND OBJECTIVES: Personalized donation strategies based on haemoglobin (Hb) prediction models may reduce Hb deferrals and hence costs of donation, meanwhile improving commitment of donors. We previously found that prediction models perform ...
BACKGROUND: Deep learning methods are revolutionizing natural science. In this study, we aim to apply such techniques to develop blood type prediction models based on cheap to analyze and easily scalable screening array genotyping platforms.
Assessment of the morphology of red blood cells (RBCs) can improve clinical benefits following blood transfusion. Deep machine learning surpasses traditional microscopy-based classification methods, offering more accurate and consistent results while...