{"_id":"agxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICA4OvV9d0IDA","lastupdate":"2024-01-30T00:00:00.000Z","update_date":"2024-01-30T00:00:00.000Z","lastModified":"May 26, 2025","active":1,"confidence_score":100,"confidence_score_reason":"markets","urlname":"rhino-federated-computing","minimal_profile":null,"status":"","fullstatus":"","acquired":0,"hide_reason":null,"hide_reason_data":null,"hide_reasons":[{"id":"8257rxn4P8EFQOmS5hAAauHyYMhhxrA5u6yWX4XUShpybX3AMNo3Y9","reason":"Pending approval - External entity"},{"id":"aOIaOiiqfpA8UMw6VCTh8ueRmkG3lzDy1NGqEOaJbe11OrCzMTCCd6","reason":"The company is a service provider"},{"id":"ddgjKuc3GgH8E5UehSVJviRl471BCajL1plO8HtGoOojy2NivYqQ7x","reason":"Owner asked to delete"},{"id":"EjOKM211H1ira9J63oaGPuUxvr7Oba55TZo3NWsFO5uhbNu7o4x4zD","reason":"The company is not Israeli"},{"id":"J7fQJtnT3GdWWSE3MD8rzaW65LJ4jEIKxSZnneQiReONdZjG3zIqWe","reason":"Owner asked to hide in the meantime"},{"id":"NxlAC3ReFb5ksiYNLp2FnUyluoJzwRCYfcF7xpTZaPM53SdWQ5kv0B","reason":"Pending approval"},{"id":"RhC1tlwXzioK0MfzBII3H2wepEfQOfKVktmdwqeqTJjGi3ZaBWUqZo","reason":"The company is not innovative"},{"id":"S0Ed46vNI6vZYVxLedANWGjas23K6hY0QdsCtiGYL7lshqIEdLV3sA","reason":"The company ceased operations in Israel"},{"id":"VTANq7bEvlsEcPjp0ghelXfShaCosgndONGjgU730aAOxXtaDIF5j3","reason":"This is a product of an existing company"}],"type":"Startup","logokey":"$bA22KfNxsm5vqCcf1YMeSlkwT1DWvGVSRlRnZ4vVdGAvxVN3EAXn3E.png","name":"Rhino Federated Computing","oneliner":"Seamlessly connect siloed data through Federated Computing","registrar":"516324829","website":"https://www.rhinofcp.com","careerspage":"https://www.linkedin.com/company/rhinofc/jobs/","founded_month":12,"founded_year":2020,"formernames":["Salienc","Rhino HealthTech, Inc.","Rhino Health"],"sociallinks":{"twitter":"https://twitter.com/rhinohealth1","youtube":"https://www.youtube.com/channel/UCvsDQTr-cZXLXYXK0xnClgA","facebook":"","linkedin":"https://www.linkedin.com/company/71596702","instagram":""},"social":["https://www.youtube.com/channel/UCvsDQTr-cZXLXYXK0xnClgA","https://twitter.com/rhinohealth1","https://www.linkedin.com/company/71596702"],"flattenedsociallinks":"https://www.youtube.com/channel/UCvsDQTr-cZXLXYXK0xnClgA|https://twitter.com/rhinohealth1|https://www.linkedin.com/company/71596702","apps":{"appstore":"","googleplay":""},"is_claimed_by_owner":1,"employees":"51-200","employees_exact":51,"patent":1,"raised":32610000,"stage":"A","public_stage":"A","primary_sector_key":"agxzfmlsbGlzdHNpdGVyJAsSF0Jhc2VDbGFzc2lmaWNhdGlvbk1vZGVsGICA4LuwgtgKDA","primary_sector":"Health Tech & Life Sciences","alternativenames":["RhinoHealth","Rhino.Health","Rhino-Health"],"about":"Rhino Federated Computing has built the world’s leading data collaboration platform, Rhino FCP. Rhino cut our teeth in the world of healthcare and life sciences, where data privacy is absolutely paramount and data custodians fiercely protective of data subjects. Following Rhino co-founder Dr. Ittai Dayan’s leadership of the landmark project on Federated Learning in healthcare, the EXAM Study, we set out to build an enterprise-ready FL solution, but quickly realized that collaborators needed more than ‘just’ Federated Learning, they needed Federated Computing. \n\nWhile maintaining a focus on security & privacy, we have turned Rhino FCP into a totally secure, totally extensible collaboration sandbox - allowing collaborators to run code on one another’s data while ensuring that security, privacy, and legal teams can be comfortable. Rhino FCP offers flexible architecture (multi-cloud and on-prem hardware), end-to-end data management workflows (multimodal data, schema definition, harmonization, and visualization), a privacy screen (custom differential privacy budget, custom k-anonymization values), and allows for the secure deployment of custom code & 3rd party applications via persistent data pipelines.","climatetech_description":"Federated computing reduces emissions by minimizing data transfer and optimizing distributed AI workloads. Traditional AI requires moving massive datasets to centralized cloud servers, consuming significant energy. Federated computing eliminates this by training models where the data resides, cutting network-related energy use and reducing storage duplication.\nBy distributing computation efficiently, federated computing lowers reliance on power-hungry data centers, decreasing overall carbon footprint. This approach is particularly valuable in smart grids, carbon tracking, and climate modeling, enabling organizations to derive real-time insights without excessive computing overhead.\nAdditionally, federated AI enhances collaboration across sectors like energy, transportation, and agriculture, allowing institutions to share insights securely while reducing computational waste.","is_climatetech_relevant":1,"phone":"","country":null,"address":{"israeli":[{"id":"994e6661-eafd-4c54-9d45-022c1cb42f76","city":"Tel Aviv-Yafo","type":null,"address":"Aluf Kalman Magen St 3, Tel Aviv-Yafo, Israel","placeid":null,"notactive":0,"openeddate":null,"registrarid":null,"firstrdcenter":0,"registrarname":null}],"officesabroad":[{"id":"6d56a6af-876d-4a13-b68e-7884e9f5d220","city":"Boston","address":"22 Boston Wharf Rd, Boston, MA 02210, USA","country":"United States","placeid":null}]},"headquarter_address":null,"district":"Center District","news":[{"id":"CxXu7sw0v58QkXVrnsk9e73ZNJgyN7Oaai7XcGs3eO5X1XsGC8nwKe","date":"May 22, 2025","link":"https://www.calcalistech.com/ctechnews/article/syeu3o2wle","source":"www.calcalistech.com","visible":1,"analysis":{"tags":"AI innovation","round":"Series A","company":"Rhino Federated Computing","layoffs":null,"summary":"Rhino Federated Computing, a startup specializing in AI collaboration tools for regulated industries, has secured $15 million in a Series A funding round led by AlleyCorp, with participation from several other investors. This funding brings the companys total to over $30 million and will be used to expand its federated AI platform. Founded in 2020, Rhino focuses on enabling organizations to leverage sensitive data without compromising privacy. The platform is already being used in various initiatives, including collaborations with Sheba Medical Center, Google, and Swift. The company aims to address the challenges of data access and control in regulated industries like healthcare and finance.","partners":["Sheba Medical Center","Google","Swift"],"customers":null,"eventType":null,"investors":["AlleyCorp","LionBird","Fusion Fund","Arkin Digital Health","Qiming Venture Partners USA","Telus Global Ventures","Keren Maccabi","Wilson’s Bird Capital","Frank Sica","Gaingels"],"confidence":9,"key_topics":["Federated AI","Health","Finance","Biopharma","Privacy"],"date_of_event":null,"product_stage":"released","investment_date":null,"acquired_company":null,"valuation_amount":null,"impact_on_company":"growth-positive","investment_amount":"$15 million","structured_issues":["Investment","Partners"],"acquisition_amount":null,"FDA approved/pending approval":"pending approval","AI technology developing/using":"developing","structuredIssuesShow":"#Investment  #Partners","entityGrowthIconPath":"url(/assets/circle-green.svg);"},"sentiment":"growth-positive","analysisId":"3YlSa7aJzhklIxd56JWjxnvBpVJ1YIVcXuTvcHSiQJ0lttd7w7rEiQ","news_summary":"The startup bets on federated AI as the key to innovation in health, finance, and biopharma.","analysisStructuredIssuesDisplay":"block","analysisImpactOnCompanyDisplay":"block"},{"id":"2cRc3C87t1gY0qRxDs9QPS1UoJc1yaVjS2ZcTbnjiwGQsAUA5zS00l","date":"Dec 11, 2024","link":"https://cloud.google.com/blog/products/identity-security/google-cloud-and-swift-pioneer-advanced-ai-and-federated-learning-tech","source":"cloud.google.com","visible":1,"analysis":{"tags":"fraud prevention","company":"Swift","layoffs":null,"summary":"Swift, a global provider of secure financial messaging services, is collaborating with Google Cloud and other partners to develop advanced anti-fraud technologies using AI and federated learning. This initiative aims to enhance fraud detection in cross-border payments by enabling financial institutions to share intelligence without compromising data privacy. The partnership includes technology partners Rhino Health and Capgemini, who will assist in developing and implementing the solution. The project will roll out a sandbox in 2025 to prototype learning from historic fraud, involving 12 global financial institutions. This collaborative approach is expected to improve fraud detection, reduce false positives, and adapt quickly to new threats, thereby building a safer financial ecosystem.","partners":["Google Cloud","Rhino Health","Capgemini"],"customers":null,"investors":null,"confidence":9,"key_topics":["Fraud detection","AI technology","Federated learning","Data privacy","Financial institutions"],"date_of_event":"2025","valuation_amount":null,"impact_on_company":"growth-positive","investment_amount":null,"structured_issues":["Partners"],"acquisition_amount":null,"structuredIssuesShow":"#Partners","entityGrowthIconPath":"url(/assets/circle-green.svg);"},"sentiment":"growth-positive","analysisId":"n0rskST2q73oovQiDtcvGIkBokCqdcafzuWHiwYXrvt0at7jM8fkdh","news_summary":"Google Cloud and Swift pioneer advanced AI and federated learning tech to help combat payments fraud","analysisStructuredIssuesDisplay":"block","analysisImpactOnCompanyDisplay":"block"},{"id":"SXVHCW2mSY1p3rAW7TIKegoMF9jpXzkfCOVWZCPsrVHL3P5GszESXk","date":"Oct 30, 2024","link":"https://www.finsmes.com/2024/10/rhino-health-receives-investment-from-telus-global-ventures.html","source":"www.finsmes.com","visible":1,"analysis":{"tags":"investment","company":"Rhino Health","layoffs":null,"summary":"Rhino Health, a healthcare AI company based in Boston, has received an investment from Telus Global Ventures. The investment amount was not disclosed. Rhino Health plans to use the funds to enhance its solutions using federated learning and edge computing, which facilitate secure and decentralized data processing and AI model training. Under the leadership of CEO Dr. Ittai Dayan, the company aims to transform healthcare AI by connecting medical data sources with researchers to accelerate healthcare advancements. Rhino Healths platform allows partners to create networks of health systems, life sciences companies, and public sector organizations for data collaboration across continents while maintaining patient privacy and IP confidentiality.","partners":null,"customers":null,"investors":"Telus Global Ventures","confidence":10,"key_topics":["AI","healthcare","investment","data","technology"],"date_of_event":"31/10/2024","valuation_amount":null,"impact_on_company":"growth-positive","investment_amount":null,"structured_issues":["Investment"],"acquisition_amount":null,"structuredIssuesShow":"#Investment","entityGrowthIconPath":"url(/assets/circle-green.svg);"},"sentiment":"growth-positive","analysisId":"zdsjnP28CBtY9u0TKAXPNJQrr5mjXj3KcZSHP4nBJvK1NIjGdp6l6e","news_summary":"Rhino Health Receives Investment from Telus Global Ventures","analysisStructuredIssuesDisplay":"block","analysisImpactOnCompanyDisplay":"block"},{"id":"vaDEMmUWbRSDMgeeZR8mqEyOEER5F6yv56WazafJf9E9LVbhFz2m7f","date":"Jun 5, 2024","link":"https://www.rhinohealth.com/post/rhino-health-to-deliver-federated-computing-platform-to-regulated-industries-with-google-cloud","source":"www.rhinohealth.com","visible":1,"analysis":{"tags":"Partnership, Federated Computing","company":"Rhino Health","layoffs":"N/A","summary":"Rhino Health, a leader in Federated Computing, has announced a partnership with Google Cloud to scale their Federated Computing Solution. The partnership will integrate Rhinos Federated Computing Platform (Rhino FCP) with Google Clouds generative AI, data and analytics capabilities, privacy enhancing technologies, security capabilities and scalable infrastructure. Rhino FCP, which has strong early traction in healthcare and life sciences, allows enterprises to set up computation pipelines on distributed data sources quickly and efficiently. The partnership will enable Rhino FCP to reach new verticals, such as the financial sector.","partners":"Google Cloud","customers":"biopharmas, hospitals, and public health agencies","investors":"N/A","confidence":9,"key_topics":["Federated Computing","Partnership","Healthcare","Life Sciences","Data Privacy"],"date_of_event":"N/A","valuation_amount":"N/A","impact_on_company":"growth-positive","investment_amount":"N/A","structured_issues":["Partners","Expand"],"acquisition_amount":"N/A","structuredIssuesShow":"#Partners  #Expand","entityGrowthIconPath":"url(/assets/circle-green.svg);"},"sentiment":"growth-positive","analysisId":"P2RtqC4DiY7z8ocAZEXYVwsyCbWHKkZT3p92IoS0IIWLwGqpmsV33n","news_summary":"Rhino Health to Deliver Federated Computing Platform to Regulated Industries with Google Cloud | Rhino Health","analysisStructuredIssuesDisplay":"block","analysisImpactOnCompanyDisplay":"block"},{"id":"zOP1xV8FvDFEXVnJKHYrIMrosorFAzFLr6jzR2TOHMWYnZEnou2eWL","date":"Jun 4, 2024","link":"https://www.rhinohealth.com/post/automating-clinical-data-standardization-for-arc-at-sheba-with-rhino-health-harmonization-copilot","source":"www.rhinohealth.com","visible":1,"analysis":{"tags":"Partnership, Healthcare Innovation","company":"ARC Innovation at Sheba Medical Center, Rhino Health","layoffs":"N/A","summary":"ARC Innovation at Sheba Medical Center is partnering with Rhino Health to standardize clinical data using Generative AI. The initiative aims to address the challenge of interoperability due to the diversity and complexity of local clinical data. Rhino Healths Harmonization Copilot uses Generative AI to standardize clinical data in line with international standards. The collaboration will help ARC Innovation at Sheba Medical Center to further engage in the data innovation ecosystem, enhancing operational efficiency and boosting capabilities in patient care and clinical research.","partners":"Rhino Health","customers":"N/A","investors":"N/A","confidence":9,"key_topics":"Clinical Data Standardization, Generative AI, Healthcare Innovation, Data Harmonization, Healthcare Interoperability","date_of_event":"N/A","valuation_amount":"N/A","impact_on_company":"growth-positive","investment_amount":"N/A","structured_issues":"Partners","acquisition_amount":"N/A","structuredIssuesShow":"#Partners","entityGrowthIconPath":"url(/assets/circle-green.svg);"},"sentiment":"growth-positive","analysisId":"Scv9M20M0i6xl1trXxafu6a4MNbVjrTtiTDID0WycnqYE4wGCaOQBv","news_summary":"Automating Clinical Data Standardization at for ARC Innovation at Sheba Medical Center with Rhino Health’s Harmonization Copilot | Rhino Health","analysisStructuredIssuesDisplay":"block","analysisImpactOnCompanyDisplay":"block"},{"id":"nkoHbDydJe6uaNw7oHVXIQWQgdmBqQsCpUqCuDlezWJhMDGFAP45Ph","date":"May 21, 2024","link":"https://www.globenewswire.com/news-release/2024/05/22/2886817/0/en/Rhino-Health-and-Medinexo-Partner-to-Expand-Data-Diversity-in-Therapeutic-Development.html","source":"www.globenewswire.com","visible":1,"analysis":{"tags":"Partnership, Healthcare","company":"Rhino Health","layoffs":"Not mentioned","summary":"Rhino Health, a leader in federated computing, has announced a strategic partnership with Medinexo, a global network of hospitals and health systems. The partnership will combine Rhinos Federated Computing Platform with Medinexos network of research sites, providing a valuable solution for academic researchers and life sciences companies. Medinexo streamlines the clinical trial process, reducing administrative burdens and accelerating trial setup. Rhinos platform allows for the setup of computation pipelines on distributed data sources in a matter of days, adhering to high standards of confidentiality and privacy. The partnership aims to democratize participation in the healthcare and life sciences data ecosystem.","partners":"Medinexo","customers":"Not mentioned","investors":"Not mentioned","confidence":9,"key_topics":["Strategic Partnership","Federated Computing","Clinical Trials","Healthcare Innovation","Data Privacy"],"date_of_event":"May 22, 2024","valuation_amount":"Not mentioned","impact_on_company":"growth-positive","investment_amount":"Not mentioned","structured_issues":["Partners"],"acquisition_amount":"Not mentioned","structuredIssuesShow":"#Partners","entityGrowthIconPath":"url(/assets/circle-green.svg);"},"sentiment":"growth-positive","analysisId":"BpyhZOwy0enccfGav3QxMVcAPSi0PTMMrM4uCYKe8oczRFHd9SBmQ7","news_summary":"Rhino Health and Medinexo Partner to Expand Data Diversity in Therapeutic Development","analysisStructuredIssuesDisplay":"block","analysisImpactOnCompanyDisplay":"block"},{"id":"SrWkoGMIzfDJf9tG6YTG28TQL1QaUuwuR2EsQJmFO2szHYWZKborkN","date":"Dec 14, 2023","link":"https://www.digitalhealth.net/2023/12/rhino-health-joins-consortium-to-reduce-carbon-footprint-of-ct-scans/","source":"www.digitalhealth.net","visible":1,"analysis":{"tags":"Partnership, Environment, Healthcare","company":"Rhino Health","layoffs":"Not mentioned","summary":"Rhino Health has partnered with over 20 international institutions, including the University of Oxford, to develop an AI-powered CT digital contrast technology that will reduce the environmental impact of CT imaging. The project, co-funded by Horizon Europe and UK Research Innovation (UKRI), aims to minimize the use of contrast media and single-use consumables in CT scans, thereby reducing their carbon footprint. Rhino Health will provide its federated computing platform and expertise in edge computing, federated learning, and AI to help train the AI model. The consortium is coordinated by Collective Minds Radiology and scientifically led by the University of Oxford.","partners":["University of Oxford","Collective Minds Radiology","Horizon Europe","UK Research Innovation (UKRI)"],"customers":"Not mentioned","investors":"Horizon Europe, UK Research Innovation (UKRI)","confidence":9,"key_topics":["AI-powered CT digital contrast technology","Environmental Impact","Federated Computing","Healthcare","Research Collaboration"],"date_of_event":"Not mentioned","valuation_amount":"Not mentioned","impact_on_company":"growth-positive","investment_amount":"Not mentioned","structured_issues":["Partners","Expand"],"acquisition_amount":"Not mentioned","structuredIssuesShow":"#Partners  #Expand","entityGrowthIconPath":"url(/assets/circle-green.svg);"},"sentiment":"growth-positive","analysisId":"wRO2zNy38vRV8EhvXXZTQxGwuejP2W9gIfjaNH6EG47maP7R0Huv5S","news_summary":"Rhino Health joins consortium to reduce carbon footprint of CT scans","analysisStructuredIssuesDisplay":"block","analysisImpactOnCompanyDisplay":"block"},{"id":"jtUG7K8aXbqvBbVTaeQ4DZd1hgCCsrNpjwJbZl1wJMGTMl3Ypq7zF7","date":"Aug 2, 2022","link":"https://www.accesswire.com/710484/Rhino-Health-Joins-Alliance-for-Artificial-Intelligence-in-Healthcare","source":"www.accesswire.com","visible":1,"analysis":{"tags":"AI in healthcare","company":"Rhino Health","layoffs":null,"summary":"Rhino Health has joined the Alliance for Artificial Intelligence in Healthcare (AAIH), a global advocacy organization dedicated to the responsible adoption and application of AI/ML technologies in healthcare. Rhino Health will contribute its knowledge of distributed computation and federated learning to advance AI in healthcare. The company will participate in ongoing AAIH projects and collaborate with other organizations in the industry. The AAIH aims to establish responsible and ethical standards for the development and implementation of AI in healthcare. Rhino Health is a distributed computer platform that leverages federated learning to allow medical researchers and healthcare AI developers to access diverse datasets without compromising patient privacy. The company is committed to accelerating the creation and adoption of AI-based healthcare solutions.","partners":"Alliance for Artificial Intelligence in Healthcare (AAIH)","customers":null,"investors":null,"confidence":9,"key_topics":["Rhino Health","Alliance for Artificial Intelligence in Healthcare","federated machine learning","AI/ML technologies in healthcare","data privacy"],"date_of_event":"August 2, 2022","valuation_amount":null,"impact_on_company":"growth-positive","investment_amount":null,"structured_issues":["Partners"],"acquisition_amount":null,"structuredIssuesShow":"#Partners","entityGrowthIconPath":"url(/assets/circle-green.svg);"},"sentiment":"growth-positive","analysisId":"BrXHsxbIEBxxKYB7tfrZEx40ARvAyY1GvDjQzfotD5bKCh31J6eYO1","news_summary":"Rhino Health Joins Alliance for Artificial Intelligence in Healthcare","analysisStructuredIssuesDisplay":"block","analysisImpactOnCompanyDisplay":"block"},{"id":"xM4HNiWFGpNpJnrHHtUkFlu4KOOFfgmGZ8rN9sKNyqDnbgdnUMNjve","date":"May 5, 2022","link":"https://www.globenewswire.com/en/news-release/2022/05/05/2436894/0/en/Rhino-Health-Platform-Powers-Hospital-Based-Federated-Learning-Consortium.html","source":"www.globenewswire.com","visible":1,"analysis":{"tags":"healthcare, AI development, clinical translation","company":"Rhino Health","layoffs":null,"summary":"Rhino Health has announced a hospital-based federated learning for medicine consortium, Federated Learning for Medicine (FL4M), in collaboration with seven global healthcare institutions. The consortium aims to enable healthcare AI development on distributed patient data without moving the data from its original healthcare institution. The first algorithm being improved by the consortium focuses on brain aneurysm detection. The collaboration allows AI algorithms from leading centers around the world to be validated on local patient data, improving confidence in their performance and clinical value. The consortium includes hospitals across different geographies and patient demographics, caring for over 50 million patients annually. Early results show differences in algorithm performance at different sites, highlighting the importance of validating and retraining algorithms on diverse data. The consortium plans to grow with additional healthcare institutions and collaborate on future healthcare data and patient care.","partners":"Massachusetts General Hospital, University of Cambridge School of Medicine, Lahey Hospital and Medical Center, Assuta Medical Centers, Dasa S.A., National Taiwan University, Seoul National University Hospital","customers":null,"investors":null,"confidence":9,"key_topics":["federated learning","healthcare AI development","clinical translation","brain aneurysm detection","global collaboration"],"date_of_event":"May 5, 2022","valuation_amount":null,"impact_on_company":"growth-positive","investment_amount":null,"structured_issues":["Partners"],"acquisition_amount":null,"structuredIssuesShow":"#Partners","entityGrowthIconPath":"url(/assets/circle-green.svg);"},"sentiment":"growth-positive","analysisId":"j3dgEaFOXq7iosNyf49WB4w3gZaiqrN5BVw3cmWfND0kzsXBwduL0P","news_summary":"Rhino Health Platform Powers Hospital-Based Federated Learning Consortium","analysisStructuredIssuesDisplay":"block","analysisImpactOnCompanyDisplay":"block"},{"id":"4852e28f-b3ad-4bd9-8d73-55ff6d5df32c","date":"Nov 28, 2021","link":"https://www.itnonline.com/content/edrn%E2%80%99s-pancreatic-cancer-detection-teams-rhino-health-leverage-federated-learning-order","source":"www.itnonline.com","visible":1,"analysis":{"tags":["healthcare","AI","collaboration","federated learning"],"company":"Rhino Health","layoffs":null,"summary":"Rhino Health has announced a pilot project with the pancreatic cancer working group of the Early Detection Research Network (EDRN) to improve outcomes for pancreatic cancer patients. The project will utilize federated learning to accelerate the diagnosis of pancreatic cancer and enable earlier treatment. Participating institutions include Johns Hopkins Medicine, MD Anderson Cancer Center, Dana-Farber Cancer Institute, University of Pittsburgh Medical Center, Cedars-Sinai Medical Center, and City of Hope National Medical Center. Rhino Health has partnered with NVIDIA to leverage its technology in the Rhino Health Platform, which facilitates collaboration among medical researchers and AI developers. The project will be presented at the annual meeting of the Radiological Society of North America (RSNA).","partners":["NVIDIA"],"customers":null,"investors":null,"confidence":9,"key_topics":["pancreatic cancer","federated learning","AI models","collaboration","healthcare AI"],"date_of_event":"November 28, 2021","valuation_amount":null,"impact_on_company":"growth-positive","investment_amount":null,"structured_issues":["Partners"],"acquisition_amount":null,"structuredIssuesShow":"#Partners","entityGrowthIconPath":"url(/assets/circle-green.svg);"},"sentiment":"growth-positive","analysisId":"kp8ouvMo6A8ExBDt9sUMddnEIS5MO7mKssyjwp1pyLsvsU7pE9WjjA","news_summary":"EDRN's Pancreatic Cancer Detection Teams With Rhino Health to Leverage Federated Learning In Order To Accelerate Research","analysisStructuredIssuesDisplay":"block","analysisImpactOnCompanyDisplay":"block"},{"id":"ba3bf53f-163e-443d-b552-8be51827c5f1","date":"Feb 10, 2021","link":"https://www.prnewswire.com/news-releases/rhino-health-raises-5-million-to-improve-ai-workflows-in-healthcare-using-federated-learning-301225750.html","source":"www.prnewswire.com","visible":1,"analysis":{"tags":["AI-based healthcare solutions"],"company":"Rhino Health","layoffs":null,"summary":"Rhino Health has closed a $5 million Seed financing round to improve AI-based healthcare solutions. The funding will be used to connect hospitals and AI developers through the Rhino Health Platform, which provides access to a large, continually updated dataset from diverse patients. The company aims to improve health outcomes and create equitable access to advanced AI-based diagnostics and treatment pathways. Rhino Health is collaborating with NVIDIA to bring Federated Learning into the clinical setting. The company also ensures patient privacy and offers access to diverse datasets for AI developers. The FDAs updated Action Plan emphasizes inclusivity in assembling datasets for training and validation of AI devices. 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