Digi-Tech Pharma & AI 2026

Digi-Tech Pharma & AI 2026 is organized by Corvus Global Events (CGE) and will be held from May 27 - 28, 2026 at Copthorne Tara Hotel London Kensington, London, England, United Kingdom.

Description:

The Digi-Tech Pharma & AI 2026 Conference is a leading platform uniting pharmaceutical and technology leaders, healthcare innovators, regulatory authorities and solution providers to explore the evolving digital landscape in pharma. This conference promotes collaboration and knowledge exchange, enabling organizations to embrace innovation, streamline operations, and drive better patient outcomes.

This event serves as a dynamic platform to explore the integration of science and technology within the pharmaceutical industry, with a strong emphasis on digital trends, AI and machine learning, digital health ecosystems, collaborative innovation, and patient-centric drug development. Key focus areas include digital drug discovery, clinical trials, data science, big data, informatics, real-world data and evidence, and emerging innovations in digital health.

Discover how digital innovation is transforming the pharmaceutical lifecycle - from accelerating development and streamlining regulatory processes to delivering more personalized, accessible, and efficient therapies for patients around the world

At Business, we bring together the brightest minds, leaders, and trailblazers from across industries to explore the latest trends, technologies, and strategies shaping the future.Connect with professionals, decision-makers, and innovators from across the sector to expand your network and build lasting relationships. Gain valuable insights from thought leaders as they share strategies, real-world experiences, and forward-thinking perspectives.

Key Highlights:

Reimagining Pharma by Integrating Science and Technology:

• Digital Technology Trends in the Pharma and Biotech Industry
• Adopting AI and Machine Learning to unlock the full potential of Pharma
• Integrating Pharma into the Digital Health Environment
• Collaborative Innovation: Finding the right partners to leverage new technologies in Pharma
• Patient-Centred Drug Discovery

Decoding the Value of Data Science, Big Data & Informatics

• Implementing FAIR Data Principles in Pharma R&D
• Harnessing Data Science for Drug Combination Discovery
• AI + Big Data: The Future Growth Formula
• Clinical Data Interpretation with AI Tools
• Big Data Applications in Precision Medicine
• Multi-omics Integration and Advanced Data Analytics
• Translational Medicine Data: Integration and Visualization
• Data and Healthcare Analytics for Smarter Decisions

Real-World Data & Real-World Evidence

• The Growing Role of Real-World Data in Pharma
• RWD in Clinical Research and Drug Development
• RWE & RWD in Regulatory Decision-Making
• Using Real-World Data Science to Improve Patient Care
• Best Practices in Real-World Data Governance

Digital Discovery and Clinical Trials

• Applying AI to the Design of Lead Compounds
• Algorithms and Models for Drug Discovery
• Target Identification & Validation Using AI/ML
• Quantum Computing for Advanced Drug Discovery
• Genomics and Drug Discovery
• Virtual and Hybrid Clinical Trials
• R&D Use Cases and Case Studies

Digital Health & Future Innovations

• Healthcare & MedTech Advancements
• IoT Adoption in the Pharmaceutical Sector
• Cloud Computing Potential in Pharma
• The Impact of Digital Health on Drug Development
• Digital Health Strategies for Patient-Centric Clinical Trials
• Convergence of Digital Therapeutics and Pharma
• Pharma-HealthTech Collaboration to Enhance Patient Experience
• Blockchain and AI-Based Platforms for Drug Development

Regulatory, Compliance, Cybersecurity & Ethics in the Digital Era

• Evolving Regulatory Frameworks for Digital Pharma
• AI/ML Regulatory Compliance: Challenges & Approaches
• Ensuring Data Privacy, Integrity, and Cybersecurity in Digital R&D
• Ethical Considerations in AI-Driven Drug Discovery
• Digital Audit Trails and GxP Compliance
• Trust, Transparency & Governance in Pharma’s Digital Transformation