Digi-Tech Pharma & AI 2026

Memo

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 worldAt 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.Conference Link: https://corvusglobalevents.com/conference/digi-tech-pharma-ai  Registration Link: https://corvusglobalevents.com/digi-tech-pharma-ai/registration  Key Highlights: 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 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 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 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 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 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   Attendees includes VPs, GMs, Directors, Heads and Managers of Pharmaceutical & Biotech Executives Clinical Research & Drug Development Professionals Drug Discovery & Research Scientists Pharmaceutical Formulation & Process Development Scientists Translational Informatics & Systems Biology Experts Bioinformatics & Computational Biology Professionals Medical Affairs & Commercial Strategy Teams Clinical Trial & Data Management Professionals Real-World Data & Evidence (RWE) Analysts Health Economics & Outcomes Researchers (HEOR) Data Science, AI & Machine Learning Experts Big Data & Analytics Specialists Product Lifecycle & Digital Strategy Managers Digital Health & Technology Developers Digital Therapeutics & Remote Monitoring Innovators eClinical & Patient Engagement Technology Providers Digital Transformation & Innovation Leaders Cloud Infrastructure & Platform Architects IT & Digital Infrastructure Leaders Automation, Robotics & Smart Manufacturing Engineers Blockchain & Cybersecurity Professionals Regulatory Affairs & Quality Compliance Experts Pharmacovigilance & Drug Safety Officers Ethics, Legal & Governance (ELG) Advisors CROs, CDMOs, and Technology Solution Providers Investors & Venture Capitalists in PharmaTech