Digi-Tech Pharma & AI 2027
11 May 2027 – 12 May 2027
Holiday Inn London - Kensington High St, London, United Kingdom
Digi-Tech Pharma & AI is a two-day conference and expo in London bringing together pharmaceutical and technology leaders, healthcare innovators, regulators and solution providers to explore digital technologies in pharma, including AI and machine learning, data science, big data, informatics, real-world data and evidence, and digital health. It is co-located with Global Clinical Trials Connect.
42 sessions · 17 speakers
Organiser (1)
Speakers (17)
- Francisco Azuaje Director of Bioinformatics, Genomics England
- Alireza Moayyeri Digital Transformation Lead RWE and Market Access, UCB
- Olga Obrezanova Principal Scientist, Augmented Biologics Design, AstraZeneca
- Christof Jaeger Senior Director - Data Science & Modelling - Substance, Pharmaceutical Sciences, AstraZeneca
- Johan Luthman Executive R&D Leader, Lundbeck
- Matti Ahlqvist Head of AI Transformation, AstraZeneca
- Emanuele De Rinaldis VP, Global Head of Precision Medicine & Computational Biology, R&D, Sanofi
- Paolo Malerba Strategy Lead, Novartis
- Ewa Gajewska Head of Product Management, SYNTHIA™, Merck Group
- Yuliya Bohdan Global AI Product and Platform Lead, Roche
- Hassan Abba Head of Strategy & Enterprise Architecture at AstraZeneca, AstraZeneca
- Bruno Casaes Teixeira AI Innovation, Bristol Myers Squibb
- Ian Healy Technical Capabilities Leader, Roche
- Chrysanthi Ainali Senior Product Manager, Omics Products, GSK
- Geraldine Low Lead Product Researcher & Designer, Artificial Intelligence and Machine Learning, GSK
- Daniele Granata Principal Modelling Scientist, Novo Nordisk
- Leyla Hernandez Donoso Senior Director Evidence, Data & Insights, Novo Nordisk
Agenda
- Welcome Address & Chairperson’s Opening Remarks 11 May 2027
- Reimagining Pharma by Integrating Science & Technology 11 May 2027
- From Human Data to Drug Discovery: Integrating AI, Genetics & Multimodal Biology to Transform R&D 11 May 2027
- Accelerating Molecular Design: How AI is Reinventing Computer-Aided Drug Design 11 May 2027
- Leveraging the power of AI-driven synthetic planning and molecule discovery with SYNTHIA™ Retrosynthesis Software 11 May 2027
- Benchmarking the Impact of AI in Biologics Discovery and Optimization for Pharma 11 May 2027
- Accelerating Drug Discovery with AI & Foundation Models: From Experimentation to Real-World Value 11 May 2027
- Research Labs Digital Backbone Architecture 11 May 2027
- AI-Driven Protein Design & Discovery: Accelerating the Development of Next-Generation Therapeutics 11 May 2027
- Panel Discussion: Can Generative AI Really Reduce Drug Discovery Timelines or Are We Overestimating Its Impact? 11 May 2027
- From Genomics to Precision Medicine: Turning Complex Biology into Better Therapeutic Decisions 11 May 2027
- Multi-Modal AI & Scientific Data Fusion: Connecting Biology, Chemistry & Clinical Intelligence 11 May 2027
- Disease Understanding, Target & Biomarker Validation 11 May 2027
- Can AI Unlock New Value from Existing Medicines? Rethinking Drug Repurposing & Combination Discovery 11 May 2027
- Leveraging Multimodal Foundation Models for Automated Tech Transfer and CMC Compliance 11 May 2027
- Beyond Classical Computing: When Will Quantum Computing Deliver Real Value for Drug Discovery? 11 May 2027
- Reinventing High-Throughput Screening: Building Smarter Experimental Workflows 11 May 2027
- Panel Discussion: What Will Separate the Winners in Technology-Enabled Drug Discovery? 11 May 2027
- Creating the Research Lab of the Future with Digital Twins & Intelligent Laboratories 11 May 2027
- Round Table Discussion 11 May 2027
- Chairperson’s Closing Remark 11 May 2027
- Welcome Address & Chairperson’s Opening Remarks 12 May 2027
- Enhancing the Real-World Data Environment: New Data Sources, New Audiences & Integrating Emerging Technologies into Pharma 12 May 2027
- GenAI powered search 12 May 2027
- Building the Connected R&D Ecosystem: Modern Scientific Data Platforms for Pharmaceutical Research 12 May 2027
- FAIR Data in Drug Discovery: Unlocking Value from R&D Data 12 May 2027
- Real-World Data across Clinical Research & Drug Development 12 May 2027
- Engineering the Next Generation of Medicines: Advancing Cell & Gene Therapy 12 May 2027
- From Multi-Omics Data to AI-Enabled Products: Advancing Drug Discovery and Precision Medicine 12 May 2027
- Fireside Chat: What Makes a Discovery Ready for Development? Evidence, Risk & Go/No-Go Decisions 12 May 2027
- Panel Discussion: From Discovery to Development: Building a Truly Connected Pharmaceutical R&D Organisation 12 May 2027
- Clinical Analysis Platform for late-stage clinical trial analysis and submissions 12 May 2027
- From Claude to Scientific Agent: Building Governed Agentic AI Workflows for Real-World Evidence 12 May 2027
- Predict Earlier, Fail Smarter: ADMET Modelling, Predictive Toxicology & Computational Safety 12 May 2027
- From Automation to Autonomy: Building the Self-Driving Laboratory 12 May 2027
- From Generating Evidence to Establishing Credibility: The Next Constraint in Pharma R&D 12 May 2027
- RNA Therapeutics: Accelerating the Next Wave of Precision Medicines 12 May 2027
- Regulatory Science in the Digital Era: Innovating Without Compromising Trust 12 May 2027
- Panel Discussion: Pharma R&D 2035: What Will Scientific Discovery Look Like in the Next Decade? 12 May 2027
- Scaling AI for Business Impact: Making the Business Case Non-Negotiable in CMC and Drug Development 12 May 2027
- Closing Leadership Address 12 May 2027
- Chairperson’s closing remarks & End of Conference 12 May 2027