Integrating Deep Learning with Microfluidics for Biophysical Classification of Sickle Red Blood Cells

Python-based standalone application for sickle cell disease prediction

SCCRIP (Sickle Cell Clinical Research and Intervention Program) established a longitudinal cohort at multiple sites with Sickle Cell Disease (SCD) in 2014 managed by St. Jude Clinical Hematology. A new collaborator for SCCRIP has longitudinal data for 600 SCD patients in OMOP CDM format and this effort is to convert OMOP CDM to SCCRIP format.

This blog aims to shed light on the healthcare situation in Africa, emphasizing the prevalence of sickle cell anemia and exploring possible solutions to mitigate its impact. However, our narrative goes beyond healthcare, inviting readers on a captivating journey to explore the continent's culture, geography, and iconic tourism destinations.

Optimization Of Extended Red Blood Cell Matching In Transfusion Dependent Sickle Cell Patients

Studying how life expectancy and age affects people who have different types of sickle cell disease. Exploring to draw conclusions about the role in aging in the likelihood of passing from SCD.

Genome-wide association study of fetal hemoglobin (HbF) in sickle cell anemia patients from Cameroon and other African ancestry populations

Plotting geographic maps; initially written for HMG review on the evolutionary history of the sickle cell mutation for my research group, SADaCC

brickstudy is a repository for the research of the BRICK group at Rotterdam Erasmus MC