Rare genetic conditions affect 300 million people globally and are leading causes of child mortality in high-income countries. The BeginNGS platform addresses this by enabling genetic screening of newborns hours after birth, combining human expertise with machine learning to interpret disease risk from genomic data. While data sharing between hospitals is crucial for scaling this life-saving screening worldwide, it raises significant privacy concerns.
This Tech Talk explores how TileDB's federated query technology allows researchers to compare genetic information across institutions without transferring sensitive patient data, revolutionizing rare disease detection while maintaining privacy compliance.
An overview of the limitations in current variant warehouse solutions and the need for efficient, privacy-preserving data sharing in newborn screening.
The rationale behind expanding the BeginNGS network to include more pediatric and healthy adult populations, enhancing the accuracy and impact of rare disease detection.
A deep dive into how TileDB’s federated query technology enables flexible, real-time genomic queries across institutions—without exposing sensitive patient data.
TileDB is foundational software designed by scientists for scientific discovery. TileDB structures all data types, including data that does not fit into relational databases designed for structured tabular data. Built on a powerful shape-shifting array database, TileDB handles the complexities of non-traditional “unstructured” multimodal data, such as genomic variants, bulk and single-cell transcriptomics, proteomics and, biomedical imaging, as well as the frontier data of the future. Used by science and data teams within big pharma and biotechs to power their multiomics FAIR data platforms, TileDB is the destination for scientific breakthroughs where frontier multimodal data is driving drug discovery.
Chief Technical Officer