.1Use CasesDecember 5, 2024 Aashima Revolutionize Your Patent Research with AI ToolsDiving into the world of patent research can be daunting. With millions of documents to sift through, finding the most relevant patents is like looking for a needle in a haystack. But what if there was a way to simplify this complex process?
.2Use CasesOctober 31, 2024 Ada Tomas Bata University and Iris.ai Collaboration: Driving Research Innovation with AIIn March 2024, Tomas Bata University in Zlín embarked on a transformative journey by acquiring a license for Iris.ai’s flagship AI-powered solution, RSpace™. As the first institution in the Czech Republic to integrate this cutting-edge tool, Tomas Bata University has taken a bold step towards enhancing the efficiency and innovation of its research practices.
.3Use CasesJuly 25, 2024 Aashima Driving Transformation Across Industries with Iris.aiIn today's rapidly evolving, data-centric world, innovation is the cornerstone of progress across all industries. From healthcare and agriculture to manufacturing and research, organizations are constantly seeking ways to enhance efficiency, solve complex problems, and uncover new opportunities.
.4Use CasesMay 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.
.5RSpace™March 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.”