Latest Innovation in Automation and AI/ML Presented at the 11th Annual Biopharma Partner Symposium

Top biopharmas and leading biotechs discuss new trends in AI/ML and share how they use the Genedata Biopharma platform to streamline R&D workflows

April 2, 2025
Lexington, MA, USA

Genedata, the leading provider of enterprise software solutions for biopharmaceutical R&D, today announced the successful conclusion of the eleventh Annual Genedata Partner Symposium (March 31–April 1, 2025). As a global community event, Genedata customers presented and discussed how to most effectively deploy and operate the Genedata Biopharma Platform in their AI/ML and automation programs, as well as how Genedata helps to address increasingly complex data governance and compliance requirements.  

More than 300 customers from around the globe participated in the invitation-only symposium, including major biopharma organizations such as AbbVie, Amgen, Astellas, AstraZeneca, BMS, Biogen, Boehringer Ingelheim, Daiichi Sankyo, Eli Lilly, EMD Serono, Gilead, GSK, Johnson & Johnson, Merck MSD, Novartis, Novo Nordisk, Pfizer, Sanofi, Servier, Takeda, UCB, Vertex, and Zoetis. Additional attendees included renowned biotechs such as Genmab, Immunocore, Incyte, Dragonfly, and Revolution Medicines, as well as world-leading academic institutions including the Broad Institute, Scripps Institute, and the Gates Foundation.

New this year, the Genedata Symposium Award recognized innovation projects driving exciting advances in biopharma R&D. The three winning projects were:

Science Winner
Genmab — Harmonizing and Streamlining Chromatography Workflows 
Rik Rademaker, Ph.D., Director Cell and Molecular Sciences, Genmab

Automation Winner
Novartis — Accelerating Multi Attribute Method by LC-MS Workflows
Thomas Pohl, Ph.D., Director Analytical Characterization, Novartis

AI/ML Winner
Sanofi — Towards an Integrated Wet Lab and Dry Lab
Yves Fomekong Nanfack, Ph.D., Executive Director, Head of End-to-End AI Foundations, Large Molecules Research Platform, Sanofi

“We are thrilled to see how the Genedata Partner Symposium has become the must-attend event to exchange ideas and drive digital innovation. We are honored to connect world-leading experts across the biopharma industry and discuss how to discover, develop, and manufacture innovative medicines more efficiently and quickly,” said Othmar Pfannes, Ph.D., President of Genedata. “We are pleased to have welcomed a record number of participants this year, which reflects the growing importance of Genedata in the pharma industry. We remain committed to expanding our platform and fostering the Genedata community to help accelerate the development of life-saving treatments.”

Editorial Note: Selected topics featured by Genedata customers. For more details see www.genedata.com/2025-genedata-biopharma-partner-symposium.

Novartis: Lessons Learned from a Global Genedata Deployment: Impact on Automation, Novel Modalities, and AI/ML
GSK: Impact on Data Science, Analytics, and Lab Automation Workflows
Sanofi: Towards an Integrated Wet Lab and Dry Lab: Leveraging AI
Gilead: Smart Strategies for Digitalizing Biotherapeutics Discovery
Pfizer: Enabling Data Science for Macromolecular Drug Discovery
AbbVie: Digital Transformation: Leveraging Genedata in Biopharma
Genmab: Harmonizing and Streamlining Chromatography Workflows
Astellas: Advancing Safety in Manufactured Human Cell Products: The Strategic Value of NGS
Johnson & Johnson: Sample Directed Automation of Peptide Mapping Data Analysis
Boehringer Ingelheim: Driving Change: Lessons on Successful Global Digital Deployment from Boehringer Ingelheim
Sanofi: PEPP in Action: High-Throughput Protein Expression and Purification
Dragonfly Therapeutics: Advancing Antibody and NK Cell Therapies
Astellas: Deep Learning Models for Pathology Images in Oncology
AstraZeneca: Leveraging Genedata in AZ’s Cell Panel Screening Solution
Merck: Real-Time Monitoring of Batch and Perfusion Process Using In-Line Biocapacitance Measurements
Novartis: Accelerating Multi Attribute Method by LC-MS Workflows
Zoetis: Enhancing Biotherapeutic Data Management
Arvinas: Image Analysis with Machine Learning (AI)
Revolution Medicines: From Data to Insight: Automated Data Import and Visualization for Clinical Decision-Making