What's New at Rhino? January 2025
What's New?
- Rhino Health is now Rhino Federated Computing! Read the blog post announcing the change from Rhino co-founder & CEO, Dr. Ittai Dayan, here: [link].
- Working at the National Institutes of Health or an NIH-affiliate institution and interested in AI / ML, federated learning, multi-site consortia, data management, quality & safety measure development, public health surveillance, etc.? Join us for a webinar hosted by our partners at Carahsoft and Google Cloud: "Accelerating Secure Cross-Site Data Collaboration with Federated Computing". Registration here: [link].
- Rhino Federated Computing has been named an "IDC Innovator" in the "IDC Innovators: Edge Inference Delivery, 2024" report. This recognition underscores the critical role edge computing plays in addressing some of today’s most pressing data challenges - maintaining privacy and improving performance.
Rhino Federated Computing Platform (Rhino FCP) Updates
Harmonization Copilot v2 is live!
Rhino FCP now supports full ETL to OMOP v5.4. Building on top of the novel Gen-AI semantic mapping functionality already existing in FCP. Now FCP users can create syntactic mappings to OMOP with a low-code GUI and harmonize datasets imported to FCP directly to OMOP without having to write ETL code. The Copilot supports multiple data transformations without the need to write code such as custom mapping or date formatting, while also allowing to add your code transformations in Python when needed.
New Settings Page
We have enhanced the former Profile Page into a Settings Page with better feature grouping and more context, including links to the documentation.
Custom Vocabularies support multiple languages
Users can now create Custom Vocabularies using UTF-8 characters, unlocking Semantic Mapping to languages that use non-ASCII alphabets.
More notifications when your Rhino Client is offline
FCP has now an expanded set of Notifications when Rhino Client is Offline to handle most common actions that otherwise would result in an error. Those include when creating a semantic mapping, running a code object, or importing a dataset.
