Research Programs
Advancing the understanding of sickle cell disease
Validation of the first clinical algorithm to predict painful crisis VocPredict
INNOVHEM has already conducted a cohort study on 110 patients that allowed to identify the optimal combination of predictive biomarkers and that enabled the development of a predictive model for painful crises using a nonsupervised approach of machine learning.
In order to consolidate and validate the performances of VocPredict, we are collaborating with leading academic medical centers to conduct a multicenter prospective study enrolling at least 300 adult sickle cell patients.
In order to consolidate and validate the performances of VocPredict, we are collaborating with leading academic medical centers to conduct a multicenter prospective study enrolling at least 300 adult sickle cell patients.
Read more about this study fits into our development program below.
VocPredict development at-a-glance
Identification of the determinants of organ damage
Thanks to collaborations with leading academic clinical centers, we have started a program to identify the determinants of renal damage, using a unique biological collection with more than 10 years of insight.
