Healthcare and Life Sciences
Turbocharging Target Identification: Ontotext’s AI-Powered Solution at Work
Read about the challenges researchers and their technical teams face in the drug discovery process, how our solution addresses them and the difference it can make, supported by a real-life case study
Accelerating Drug Discovery with AI-based Gene-Disease Link Predictions
Read about how predicted links between genes and disease relations can help speed up target validation, drug development and provide novel insights into disease biology
Reflections on the Knowledge Graph Conference 2023
Read Milen Yankulov’s impressions from the conference, Ontotext positioning, the role of ML, AI & LLM in the graph space and more
Semantic Technologies and Knowledge Graphs in Healthcare: An Interview with Isabelle de Zegher
Ontotext talks to Isabelle de Zegher, clinical co-coordinator for the AIDAVA project and founder of b!loba discuss the added value of semantic technologies and knowledge graphs in the Healthcare domain
GraphDB in Action: Powering State-of-the-Art Research
Read about how academia research projects use GraphDB to power innovative solutions to challenges in the fields of Accounting, Healthcare and Cultural Heritage
