metaphacts is a Platinum sponsor at the SWAT4HCLS Conference, taking place on February 24-27, 2025 in Barcelona, Spain.

metaphacts contribution

On-site booth

Participants can meet our team at our booth to discuss how the combination of knowledge graphs and Large Language Models can drive efficient and trustworthy insights and knowledge discovery in healthcare and pharma, supporting use cases across the entire pharma value chain.

On-site presentations

Harnessing Semantic Technologies and Large Language Models for Trusted Knowledge Identification in Healthcare and Pharma

Dr. Peter Doerr, Director Presales - Solution Design and Strategy, metaphacts

The combination of large language models (LLMs) and semantic technologies presents unique opportunities for transforming knowledge management in the pharmaceutical and healthcare sectors. This paper introduces a novel methodology to integrate LLMs with symbolic AI and human expertise to address critical challenges such as reproducibility, explainability, and trust in data outputs. Focusing on the drug development process, the proposed annotation pipeline and knowledge graph framework enhance the accessibility and usability of biomedical knowledge by identifying and linking data from scientific publications and other sources. Results demonstrate the capability to achieve high-quality precision and scalability, offering a transformative approach to handling vast biomedical datasets and the overwhelming amount of scientific publications.

Decisions, decisions, decisions
An abridged history of human decision making & evolution; and what does the future hold?

Russell Smart, Enterprise Sales Manager at metaphacts

In an era of overwhelming data, making effective business decisions is increasingly complex. This presentation, Decisions, Decisions, Decisions…, explores Human decision making through the ages. How do humans make decisions? The good, bad and ugly. How has technology enhanced the evolution of human decision making? It also explores how organizations can transform raw data into actionable knowledge by leveraging Knowledge Graphs (KGs) and AI. It highlights the challenges of fragmented, untapped information and the importance of bridging these gaps. By integrating symbolic AI, machine learning, and generative AI, businesses can empower domain experts, enhance decision-making, and build trust through explainability.