Healthcare and life science companies are seeing a rapid growth in both the size and diversity of patient-level data. Modalities include genomic, medical imaging, clinical history, medical claims, and sensor data. While multi-modal data offers a comprehensive view that can improve patient outcomes and care, integrating and analyzing multiple modalities at scale is challenging, preventing customers from adopting multi-modal analytics for precision health applications. The Multi-Omics & Multi-Modal Data Analysis solutions on AWS help companies to easily store, integrate, and analyze genomic, health records, and medical imaging data to accelerate precision health. With the use of machine learning, these solutions simplify the process of turning raw data into meaningful insights.
Prescriptive architectural diagrams, sample code, and technical content