Rhino Health

As life sciences companies progress their AI agendas, the need for multimodal Real World Data (RWD) increases. These organizations are expanding their partnerships with hospitals around the world - and frequently running into the same challenge: data harmonization. Each RWD partner maintains their own local data models, requiring significant data engineering efforts from either the hospital or the sponsor before completing any analysis. The Harmonization Copilot, part of the Rhino Federated Computing Platform (Rhino FCP), automates data cleaning, standardization, and integration, creating reliable datasets from diverse sources like clinical trials, patient records, and lab tests. The Copilot uses Generative AI and a human-in-the-loop workflow to ensure high quality mappings translated to code, resulting in significant time savings for data engineers and clinical data experts. Learn more in the article linked below: https://lnkd.in/ec5jSMZ2 #LifeSciences #Data #AI #MachineLearning #Biopharma #Innovation #Healthcare #DataScience #DigitalTransformation #GenerativeAI #FederatedLearning #FederatedComputing

Data collaboration is hard. Rhino Health can help. Despite the emergence of standard data models such as OMOP, most institutions still have their own unique local model driven by their individual operating models or legacy systems. This creates a source of friction when partnering with other researchers. Rhino Health recently launched our Harmonization Copilot, a Generative-AI driven tool for making data ‘research ready’ while minimizing the amount of clinical data and data engineering resources required.  By automating the cleaning, standardization, and integration of varied datasets, the Harmonization Copilot enhances data quality, consistency, and interoperability, driving innovation and improving patient outcomes. In the linked below article, we delve into: 🔷 The importance of data harmonization and how it differs from data standardization and normalization. 🔷 The critical role of harmonization in ensuring right-quality, reliable data for AI and machine learning applications. 🔷 The significant challenges posed by data fragmentation and how the Harmonization Copilot addresses these issues. 🔷 Key features and capabilities of the Harmonization Copilot, including automated data cleaning, semantic and syntactic mapping, and custom ontologies. 🔷 Real-world applications and case studies. To experience the capabilities of the Harmonization Copilot firsthand, schedule a demo with our team today: contact@rhinohealth.com. https://lnkd.in/eQfSwjsi  #DataScience #DataEngineering #AI #MachineLearning #Innovation #DigitalTransformation #FederatedLearning #FederatedComputing #EdgeComputing #MedTech #LifeScience #PublicHealth #generativeai #LLMs

International Consortium for Health Outcomes Measurement (ICHOM) featured an interview with Rhino Health COO Chris Laws in their most recent newsletter. The interview covers how Federated Computing can support value-based healthcare (VBHC) models and accelerate innovation in healthcare more broadly. "Rhino FCP enables many efforts that underlie VBHC – quality measure development and implementation, testing the validity and efficacy of AI models on diverse patient populations, and developing & deploying early detection as well as precision diagnostic models. Overall, Federated Computing offers a way to leverage the power of healthcare data while respecting patient privacy. This can lead to better, more efficient, and ultimately more cost-effective healthcare delivery, which is a core principle of value-based care." Read the full interview at the link below and get in touch to learn more about the applications of federated computing to value-based healthcare at contact@rhinohealth.com. https://lnkd.in/eUkMwZjq #ichom #federatedcomputing #federatedlearning #ai #ml #valuebasedcare #valuebasedhealthcare #vbhc

Excited to have presented our work led by students Pranav Sompalle and Kuancheng Wang on "Federated Training of Deep Learning Models Improves Prostate Gland Segmentation on MRI:A Simulation Study" at #SIIM24, in collaboration with Rhino Health.

Today we are announcing our participation in a new collaboration to develop novel diagnostic tools for Birt-Hogg-Dube (BHD) Syndrome, a rare genetic disorder affecting skin, lungs and kidneys. Rhino Health will be working with a team from University of Cambridge, Massachusetts General Hospital, and Asher Orion Group, supported by a grant from The Myrovlytis Trust. To develop robust AI models for rare diseases that can improve both the diagnosis and the healthcare of patients with rare diseases, it is important to train the models on diverse data sets from multiple institutions, across disparate geographies, representing many patient types. Rare disease research to diagnose and treat conditions like BHD is often hampered by the limited availability of data. Traditional ML methods typically require large datasets for training. Finding and curating those datasets for developing healthcare applications is difficult and is much harder for rare-disease use cases because the data are fewer in number, are in many locations, and contain sensitive information. Because rare diseases are often un-diagnosed, there is also the issue that these data may not exist. The long-term goal of this research consortium is to see the realization of a federated and privacy-preserving way to create a rare-disease AI tools that can then be deployed by any health system so that these conditions may be more often detected, without the need for specialized experts everywhere. “Federated learning offers a powerful solution to the challenge of data scarcity in rare disease research,” said Ittai Dayan MD, co-founder & CEO of Rhino Health. “By scaling data between different academic and non-academic centers, we can unlock the potential of this data to develop new diagnostics”. To learn more, watch the video below - or reach out to discuss how to apply federated computing to your research questions contact@rhinohealth.com. #federatedcomputing #federatedlearning #edgecomputing #raredisease #AI #ML

Rhino Health has been honored with the 8th Annual Product Award in the Healthcare/Health Tech/Life Science Category by Products That Count, in partnership with Capgemini and Mighty Capital. This is the second time in a row that Rhino Health has been recognized with this honor. This award recognizes our dedication to creating innovative products designed to enable secure and compliant access to data for AI model development in Healthcare, MedTech, and Life Science sectors. Our Rhino Federated Computing Platform (Rhino FCP) ensures privacy and stringent regulatory compliance while empowering measure developers with broad data access. Thank you to #ProductsThatCount for this prestigious recognition! Learn more about the winders here: https://lnkd.in/gk7S2jiu #productawards #healthcare #innovation #federatedcomputing #medtech #lifescience #Capgemini #MightyCapital

Be Clear On Who Your Customer Is 🎙️ Dive into the latest Med Tech Gurus Episode #243! 🌟 Ittai Dayan MD Dayan, Co-founder and CEO of Rhino Health, is our featured Guru. Rhino Health specializes in cutting-edge Data Analysis and AI, with a strong emphasis on preserving data privacy—a critical concern in today's tech landscape. In this episode, Dr. Dayan dives deep into the specifics of their innovative technology, offering invaluable insights into maintaining data privacy. But that's not all! He also shares expert advice on raising investor funds and best practices for commercialization. Whether you're a startup founder or a seasoned entrepreneur, Dr. Dayan's knowledge is sure to inspire and inform. Listen in to discover how Rhino Health is revolutionizing the med tech industry while keeping data privacy at the forefront. Don’t miss out on this compelling episode packed with actionable insights! #MedTech #Entrepreneurship #AI #HealthcareInnovation #DataPrivacy #Podcast https://lnkd.in/eqncdFAs

Exciting news from Rhino Health: we're announcing a new collaboration with NVIDIA to provide a secure federated computing solution for businesses worldwide. This collaboration offers a streamlined solution for deploying NVIDIA's leading software offerings via Rhino's powerful federation layer, streamlining data collaborations, especially for those handling sensitive data like healthcare and life sciences. Our solution addresses a critical challenge: unlocking the power of data for collaborative AI development while ensuring the highest levels of security and privacy. Traditional methods often involve centralizing data, which raises compliance and privacy concerns. The Rhino Federated Computing Platform, leveraging NVIDIA's cutting-edge FLARE framework, breaks down these silos. It allows organizations to train AI models together without ever moving the underlying data itself. Users can now more easily deploy NVIDIA's AI Enterprise software and other innovative NVIDIA solutions. “Rhino Health’s federated computing solution, powered by NVIDIA FLARE, is enabling open collaboration to facilitate the training of AI models — essential capabilities to drive the advancement of AI innovation within industries, like healthcare, that handle highly sensitive data,” said Brad Genereaux, global lead of healthcare alliances at NVIDIA. Contact us to learn more about how Rhino Health and NVIDIA can help your organization harness the power of secure collaboration: contact@rhinohealth.com. #nvidia #ai #ml #federatedcomputing #federatedlearning

Rhino Health and our partners at ARC Innovation at Sheba Medical Center, Tel Hashomer have been collaborating on an early deployment of the latest application for the Rhino #federatedcomputing platform (Rhino FCP): the Harmonization Copilot. This application helps hospitals make their data AI-ready without overburdening data engineering teams and clinical data experts. We are excited to share this case study describing the innovative work we are doing together. The Harmonization Copilot is a #generativeai -powered workflow that reduces data harmonization expenses by automating the mapping of idiosyncratic data into a target data model, leveraging #largelanguagemodels that scale across clients without requiring any data transfer for model training or inference by building on Rhino FCP's #edgecomputing capabilities.  The team at ARC Innovation at Sheba are using the Harmonization Copilot to support their innovative data collaborations with partners around the world. Key Features of the Copilot: ⏩ Efficiently standardizes diverse clinical data formats. ⏩ Seamlessly integrates with existing and legacy healthcare systems. ⏩ Enhances data interoperability across global and national standards. ⏩ Reduces the burden on in-house data engineering and clinical informatics teams. Read the full case study here and reach out to learn how Rhino can accelerate your research operations: https://lnkd.in/eq57EgCd #ARCInnovation #ShebaMedicalCenter #ai #generativeai #healthcare #innovation #data #machinelearning #medtech #ShebaMedicalCenter

We are excited to announce a Rhino Health - Google Cloud partnership to deliver an end-to-end #federatedcomputing solution for regulated industries. Together, the Rhino Federated Computing Platform and Google Cloud will empower partners to bridge data silos across hyperscalers, data centers, geographies and organizations - enabling seamless end-to-end federated computing programs with applications such as drug discovery, disease prediction, fraud detection, supply chain optimization, and more - all without requiring data transfer. “Rhino’s enterprise platform together with Google Cloud’s Generative AI, Data & Analytics, privacy enhancing technologies, security and scalable infrastructure, will enable a variety of Federated Learning use cases in life sciences, healthcare and across industries," said Ryan A. Terry, managing director, Healthcare and Life Sciences, Google Cloud. Read more here https://lnkd.in/eChVnSiB #googlecloud #googlecloudpartners #ai #ml #federatedlearning #lifesciences #digitalhealth