AI-Driven R&D Forum
Practices, Tools, and Applications for Molecular Diagnostics, Biomarkers, and Cancer
5–6 November 2025, Berlin, Germany
AI is no longer just a tool – it’s a teammate! The Forum brings together researchers, technologists, and domain experts to explore AI applications across the full R&D spectrum, with a focus on molecular diagnostics, biomarkers, and cancer. Sessions showcase practical tools, methods, and use cases throughout the R&D lifecycle—from concept and design to development, analysis, implementation, and academic dissemination. Participants will share practical insights that highlight how AI addresses challenges and accelerates innovation in both academic and applied settings.
Keywords: molecular diagnostics, biomarkers, cancer, liquid biopsy, NGS, precision medicine, early detection, targeted therapy, immunotherapy, genomics, prognosis, bioinformatics, AI/machine learning, big data.
Meetup for research and innovation professionals
- Researchers and scientists
- Developers, engineers, and technologists
- Data scientists and analysts
- Product managers and test engineers
- Industry solution providers
- Scholarly publishing professionals, editors, and peer reviewers
Topics
R&D workflow optimization and case studies
Explore AI applications that streamline workflows, address challenges, and drive innovation through case studies and shared experiences.
AI-driven experimental design and laboratory processes
Leverage AI for hypothesis generation, experimental design, data analysis, and laboratory automation across research workflows.
Data analysis and visualization
Apply AI to process, interpret, and visualize complex scientific data, uncover hidden patterns, enhance interpretability, and support data-driven discovery.
Scholarly writing, publishing, and literature management
Use AI to draft, edit, and organize manuscripts, manage citations, automate literature reviews, and generate research maps.
Connecting Industry and Academia
This forum goes beyond discussing how AI can be applied to advance research and development in molecular diagnostics, biomarkers, and cancer. It also serves as a unique meeting point and community hub where experts from academia and industry can network, establish connections, share R&D experiences, and showcase the latest engineering products.
By promoting cross-sector collaboration through knowledge sharing, technology transfer, and commercialization, we aim to foster partnerships between research and industry and accelerate the translation of advanced technologies into real-world applications.
