If you need a platform to ingest, manage and analyze massive amounts of precision health data, I recommend DNAnexus. This platform is geared for biomedical companies to speed up scientific discovery with complex, multi-faceted precision health data. It includes tools for ingesting, organizing and integrating data sets and for running AI/ML jobs to analyze and visualize data. DNAnexus also has features to ensure data privacy and security for major regulations, so it's a good choice for precision health data that spans multiple organizations.
Another good option is InterSystems, which makes a variety of data management products geared for complex industries. Its products, including InterSystems IRIS for Health and HealthShare, are designed to handle and analyze health data securely and reliably. InterSystems also has good support for interoperability and real-time data processing, so it's a good choice for large-scale health data.
If you need a platform that can handle genomic, clinical, imaging and population health data, check out LifeOmic. This HIPAA-compliant platform is designed to help health care providers make better decisions and improve patient outcomes. LifeOmic AI Consult produces quick medical summaries, and its machine learning technology is used for precision health in oncology and cardiology. The platform also has good patient engagement tools and is used by several prominent health care providers.
Last, Tempus is an AI-powered precision medicine platform for health care providers, life sciences companies and patients. It has tools like the clinical assistant ONE and the real-world data analysis tool LENS to help health care providers make better decisions about cancer treatment. Tempus has received FDA Breakthrough Device Designation and has partnerships with a large number of academic medical centers and top pharma oncology companies, so it's a good option for personalized patient care and clinical research.