BioSymetrics’ Post

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We are delighted to kick off an exciting new collaboration with Christine Bear, PhD from Molecular Medicine at The Hospital for Sick Children (SickKids), to unlock targeted therapies for people with Cystic Fibrosis (CF). The recent breakthrough drug Trikafta™ has been transformative for patients with the F508del mutation on the CFTR gene: the most common cause of CF. But there are over 400 disease-causing gene variants of the CFTR gene, and not all patients with the F508del mutation respond to Trikafta™. Similarly, the SickKids CF Centre found that tissue samples carrying CF-causing mutations show considerable variability in Trikafta™ response size in the lab. This collaboration will use machine learning to sift through phenotypic and genetic data for responders and non-responders, to help identify those people who are most likely to benefit from Trikafta™ and emerging therapies. “The results of this project could be so impactful to the lives of those living with Cystic Fibrosis. I’m gratified to be involved in this important work.” —Victoria Catterson, VP of Data Science Research at BioSymetrics #CysticFibrosis #MachineLearning

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