SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation

Georgi Grazhdanski, Vasil Vasilev, Sylvia Vassileva, Dimitar Taskov, Izabel Antova, Ivan Koychev, Svetla Boytcheva, SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation, Journal of Biomedical Informatics, Volume 170, October 2025, 104906

Knowledge Graph Powered LLM for Relation and Event Detection

Join this webinar to learn about Ontotext's Relation and Event Detector, and how it leverages knowledge graphs and LLMs to transform news content to actionable insights.

This webinar is recorded and available on demand.

Join us for an insightful webinar exploring the capabilities of Ontotext’s Relation and Event Detector (RED). In this webinar, learn how RED processes and analyzes unstructured data from news content while extracting actionable insights.

Discover how large language models and entity linking enable users to define, detect, and customize model schema in real-time, supporting decision-making in investment, risk management, and strategic planning. Explore the interplay between LLMs, knowledge graphs, and advanced NLP techniques as we uncover the narratives behind market-moving events. Don’t miss this opportunity to unlock the power of RED and gain a deeper understanding of the events shaping our world!

During this webinar, Ontotext will share its vision around AI, along with several use cases and demonstrators.

When:
Wednesday, April 17th

11 am EST | 4 pm BST | 5 pm CEST

This webinar is for:

Chief Data and Analytics Officers
Data Scientists & Engineers
Data architects
Data enthusiasts
RDF & Linked Data enthusiasts

Expected duration:

45 min

Other Information:

This is a live webinar
Live Question Answering: Yes
Resource After Webinar: Recording and presentation

Meet the speakers

Atanas Kiryakov is the founder and CEO of Ontotext and member of the board of the Linked Data Benchmarking Council – standardization body, who’s members include the major graph database vendors. Kiryakov is a top expert in semantic graph databases, reasoning, knowledge graphs, text mining, semantic tagging, linking and search. Author of signature academic publications with more than 3000 citations. Atanas is partner and board member in Sirma Group Holding – one of the biggest Bulgarian IT businesses, listed at the Sofia Stock Exchange.

Peio Popov joined Ontotext after years of successful work at IBM and SEP Bulgaria. He is a legal counsel with strong IT background, specializing in business development, intellectual property, and technology-related contract negotiations. Plus, he is one of the most influential people on Bulgarian social media, so mind your language on Twitter. Soon after coming on board as a Contracts and Negotiations Manager advising on commercial, technology and IP contracts, Peio took over the role of Director Financial Services. Combining his outstanding organizational skills with his acute business flair, he seamlessly finds the best solutions for our customers.

Mila's background is rooted in account management within Advertising and international Event Management. Prior to joining Ontotext, she contributed to a fledgling London-based startup focused dedicated to building audio ML for Ford's spin-off company, Canopy. Currently, Mila is a project manager, leading the RED work stream at Ontotext.

Want more like this? The Ontotext Recommendations engine combines content and its semantic fingerprint to retrieve knowledge graph-driven recommendations. It is integrated with the Ontotext Metadata Studio tagging to power meaningful recommendations based on both semantic relevancy and recency.

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