Industry Solutions
Transform outcomes with our Federated Computing solutions
Healthcare
Unlock the potential of federated data to enhance patient care across healthcare systems. Our Federated Computing Platform enables seamless, secure data integration, empowering healthcare providers to access comprehensive insights without compromising patient privacy. Leverage advanced analytics to drive decision-making and improve healthcare outcomes.
Life Sciences
Accelerate drug discovery and clinical trials through robust, secure access to distributed real-world data. Rhino Health facilitates seamless collaboration among biopharma companies, CROs, and research institutions, ensuring compliance and protecting IP while harnessing the power of AI and ML for faster, more effective results.
Public Sector
Enhance public health management and quality improvement initiatives through secure, scalable data solutions. Our platform supports effective syndromic surveillance, robust quality and safety measures, and AI model validation across diverse patient data, driving policy decisions and operational efficiencies.
Federated Computing for Healthcare
Empowering data collaboration and innovation with privacy at its core
Harness Federated Computing to unlock collaborative healthcare solutions ensuring data privacy and enhancing research capabilities
Our Harmonization Copilot employs generative AI to securely perform comprehensive syntactic and semantic mapping behind the data custodian’s firewall. This technology automates ETL (Extract, Transform, Load) processes, significantly reducing the burden on data engineering teams, essential for hospitals and research centers aiming for high-quality data management and utilization.
Enable industry partners to securely access clinical data for early-stage R&D, clinical trials, and safety studies through Trusted Research Environments (TREs). This approach fosters commercial co-development and revenue generation without necessitating additional investment in data engineering resources or bearing the risks of external data transfers.
Our Federated Computing Platform provides data access to Federated Datasets for researchers to explore without data transfer. This seamless access is safeguarded with stringent privacy measures and facilitates compliance with NIH (National Institutes of Health) data sharing mandates, effectively supporting peer-to-peer and multi-institutional collaboration and innovation.
Our Federated Computing Platform facilitates the training of AI models using Federated Learning on distributed datasets from partner healthcare organizations. This promotes significant innovation in research while ensuring data privacy and security. Support includes testing and validating AI applications before purchase and efficiently deploying and monitoring AI products.
Federated Computing for Life Sciences
Harnessing global data to accelerate drug discovery and development while ensuring privacy and compliance
Empower life sciences innovations
Accelerating discovery and development with secure federated data collaborations
Rhino Health enables Life Sciences organizations, including biopharma companies, to securely access and analyze real-world data across a network of global clinical institutions. Our Federated Computing Platform ensures data privacy and compliance without the need for physical data transfer, supporting robust drug discovery and preclinical development. Gain insights directly from analytics and AI/ML applications deployed locally at the data source.
We provide a secure environment for collaborative research among biopharma, CROs, and academic institutions. Through Federated Learning, our clients can jointly develop and refine AI models, enhancing the speed and efficacy of therapeutic development. This supports patient identification and decentralizes clinical trials, facilitating more dynamic and responsive research methodologies.
By integrating diverse data types—from genomic data to clinical outcomes—our Federated Computing Platform supports comprehensive multimodal research, enabling a deeper understanding of disease mechanisms and treatment impacts. This integration is crucial for post-market analysis, generating insights into the safety, efficacy, and treatment pathways from real-world data.
Federated Computing for Public Sector
Empowering public health insights and operational efficiency with secure data sharing
Transforming public health andquality improvement operations
Drive strategic improvements and ensure regulatory compliance with robust and scalable data solutions
Use Federated Computing to harmonize and analyze real-world data (RWD) from healthcare organizations and other data sources. Our smart pipelines for passive syndromic surveillance and analysis enhance public health surveillance capabilities, enabling proactive management and response to health crises.
Validate the efficacy of models in diverse patient populations pre- and post-approval. Our Federated Computing environment ensures that AI model testing is comprehensive and privacy-compliant, supporting reliable deployment in varied clinical settings.
Extend the data available to develop quality and safety measures through our Federated Computing Platform. Streamline the performance and monitoring process, ensuring that healthcare interventions are effective and safe, bolstering public trust and healthcare outcomes.
Powering global data collaborations across cloud infrastructures
Supporting all major cloud providers with key partnerships for seamless integration and scalability
Rhino Health is recognized as an NVIDIA Preferred Partner and a member of the NVIDIA Inception program, leveraging NVIDIA FLARE™ in its Federated Learning solutions to enhance AI model development, ensuring privacy and accelerating the impact of AI innovations.
Rhino Health offers an enterprise-grade Federated Computing Platform on Google Cloud, providing scalable, high-performance computing with seamless integration into the Google Cloud ecosystem for enhanced flexibility.
Rhino Health’s Federated Computing Platform is hosted on Amazon Web Services (AWS), using AWS’s comprehensive cloud solutions to support efficient, scalable Federated Computing without heavy upfront investment.
By integrating with Microsoft Azure, Rhino Health’s Federated Computing Platform uses Azure’s robust infrastructure and seamless compatibility with Microsoft products, ensuring efficient and scalable data collaborations.
The joint offering uses NTT DATA’s Advocate AI imaging software and consulting services alongside Rhino Health’s scalable federated computing architecture, ensuring patient privacy and accelerating the development and adoption of AI in clinical care.
Rhino Health is recognized as an NVIDIA Preferred Partner and a member of the NVIDIA Inception program, leveraging NVIDIA FLARE™ in its Federated Learning solutions to enhance AI model development, ensuring privacy and accelerating the impact of AI innovations.
Rhino Health offers an enterprise-grade Federated Computing Platform on Google Cloud, providing scalable, high-performance computing with seamless integration into the Google Cloud ecosystem for enhanced flexibility.
Rhino Health’s Federated Computing Platform is hosted on Amazon Web Services (AWS), using AWS’s comprehensive cloud solutions to support efficient, scalable Federated Computing without heavy upfront investment.
By integrating with Microsoft Azure, Rhino Health’s Federated Computing Platform uses Azure’s robust infrastructure and seamless compatibility with Microsoft products, ensuring efficient and scalable data collaborations.
The joint offering uses NTT DATA’s Advocate AI imaging software and consulting services alongside Rhino Health’s scalable federated computing architecture, ensuring patient privacy and accelerating the development and adoption of AI in clinical care.
Rhino Health is recognized as an NVIDIA Preferred Partner and a member of the NVIDIA Inception program, leveraging NVIDIA FLARE™ in its Federated Learning solutions to enhance AI model development, ensuring privacy and accelerating the impact of AI innovations.
Rhino Health offers an enterprise-grade Federated Computing Platform on Google Cloud, providing scalable, high-performance computing with seamless integration into the Google Cloud ecosystem for enhanced flexibility.
Rhino Health’s Federated Computing Platform is hosted on Amazon Web Services (AWS), using AWS’s comprehensive cloud solutions to support efficient, scalable Federated Computing without heavy upfront investment.
By integrating with Microsoft Azure, Rhino Health’s Federated Computing Platform uses Azure’s robust infrastructure and seamless compatibility with Microsoft products, ensuring efficient and scalable data collaborations.
The joint offering uses NTT DATA’s Advocate AI imaging software and consulting services alongside Rhino Health’s scalable federated computing architecture, ensuring patient privacy and accelerating the development and adoption of AI in clinical care.
Technology ecosystem integration
Harness top tools and frameworks for innovative Federated Learning and healthcare AI solutions
