Timing is everything when facing a serious medical condition. The sooner it’s caught, the sooner it can be treated. This is especially true in genomics, where massive datasets must be analyzed in real time to inform clinical decisions. Fragmented systems, data silos, and managing both structured (patient records) and unstructured data (genomic sequences) slow workflows. VAST unifies this data into a single, scalable platform, processing petabytes of data in real time and reducing time-to-insight from days to hours.
Healthcare and life sciences organizations are generating and processing vast amounts of data, from genomic sequences to medical imaging and electronic health records (EHRs). Each generation of life sciences technology creates even more data than the last—genome sequencing, for example, produces 30x more data than exome sequencing, and technologies like cryo-electron tomography (Cryo-ET) are replacing cryo-electron microscopy (Cryo-EM) with data payloads 10 times larger. This exponential data growth, driven by advancements such as next-generation sequencing (NGS) and AI-led imaging models, is straining traditional infrastructure.
Outdated storage systems cannot keep pace with the demands of real-time bioinformatics pipelines, machine learning models, and open science collaboration. The lack of cloud integration further limits the ability to share data efficiently across institutions and research centers. Data silos, fragmented systems, and unoptimized workflows slow down an organization’s ability to generate insights and act on their data, resulting in delayed diagnoses, prolonged research timelines, and stifled innovation.
As these challenges mount, the need for advanced infrastructure solutions becomes urgent. VAST Data addresses these issues by unifying structured and unstructured data, eliminating silos, and providing the scalability and performance required to manage today’s ever-growing datasets. By integrating cloud capabilities and enabling real-time data processing, VAST accelerates innovation, ensuring data integrity and accessibility across institutions, while powering the next generation of discoveries for healthcare and the life sciences.