Скачать или смотреть Target Identification and Validation with FAIR Genomics Data Lake

In this talk at Zifo’s SiEE conference recently held at Boston, Marcin von Grotthuss, Associate Director of Machine Learning at Takeda, describes a ground-breaking demonstration project that integrates patient clinical and genomic data. This innovative approach extracts genetic variants, analyzes their impact on protein structure, and visualizes these effects alongside patient phenotypes.

By combining patient data with external public datasets, this project provides unprecedented insights into the molecular basis of disease. This development is particularly significant in light of the recent Nobel Prize awarded to scientists like David Baker for their pioneering work in predicting protein structures.

This technology has the potential to revolutionize personalized medicine by enabling a deeper understanding of disease mechanisms and the development of more targeted therapies.

#SiEE #Genomics #Clinic #Patient #ProteinStructure