.1AnnouncementsMay 30, 2024 Ada European scientific AI startup Iris.ai raises €7.64million with its Series A funding roundIris.ai, provider of a world-leading and award-winning AI engine for scientific text understanding, has announced its latest funding round, with an investment of €7.64m. This investment will support the company’s continued growth and innovation in the field of AI-assisted scientific research, and contribute to a dynamic European AI ecosystem.
.2AnnouncementsMay 23, 2024 Ada Transforming Pediatric Cancer Research with AI: A Collaboration Between Iris.ai and The Bardo FoundationThe Bardo Foundation, Iris.ai, and the European Innovation Council (EIC) have joined forces to revolutionize pediatric cancer research. This collaboration aims to integrate advanced AI technology into the research processes at Oslo University Hospital, with an initial focus on osteosarcoma. The partnership seeks to accelerate discoveries and enhance clinical outcomes for children battling rare cancers by making scientific literature and clinical data more accessible and navigable.
.3AcademicsMay 10, 2024 Aashima Navigating the Future: The Role of AI in University LibrariesIn the vast ocean of knowledge, navigating through academic literature has always been a daunting task for researchers and students alike. The exponential growth of publications, ranging from groundbreaking research to recycled ideas, poses a significant challenge in staying abreast of the latest developments.
.4Researcher WorkspaceMarch 22, 2024 Aashima How Content Based Recommendation Engine (CBRE) is Reshaping Research DiscoveryTraditionally, researchers have relied on keyword searches to sift through vast repositories of information. However, as the volume of available literature continues to grow, a new player has emerged—the Content-Based Recommendation Engine (CBRE). In this blog, we’ll explore the benefits and reasoning behind CBRE compared to traditional keyword searches, with a specific focus on the Explore tool.
.5Researcher WorkspaceMarch 7, 2024 Aashima Streamlining Literature Reviews with the Researcher Workspace: A Step-by-Step GuideIn this step-by-step guide, we’ll explore best practices for three common use cases: “searching from millions of documents to find fewer than 10 000 relevant articles”,”searching from less than 10,000 documents to find less than 150 relevant articles”, “searching for unknowns, when you or the field is new.”