Digi-Tech Pharma & AI Conference 2025: AI and Genomics Take Center Stage (London, United Kingdom - May 28-29, 2025) - ResearchAndMarkets.com

The "Digi-Tech Pharma & AI 2025" conference has been added to ResearchAndMarkets.com's offering.

The 8th Annual Digi-Tech Pharma & AI conference, a premier Pharmaceutical Technology Conference, brings with it even more interactive sessions, expert speakers, senior professionals and decision makers from leading pharma, bio-tech and healthcare industry. Meet the decision makers, benchmark and learn from real-life use cases to drive organizational change and to understand the new cutting-edge technologies and practical solutions.

In this 8th edition as we explore the novel technologies and developments reforming pharmaceutical industry, we also dive deep into the implementation and advances in machine learning, deep learning, artificial intelligence, informatics and data science which has redefined the development of new drugs, tackle diseases, improving healthcare and much more.

The enhancements in data management and data integration are providing improvements to both the speed and quality of drug discovery and many clinical trial processes. To be in the forefront, a necessity for partnership and collaboration with healthcare provider is a must for the pharmaceutical companies, and these partnerships will also lead to massive advances in R&D using artificial intelligence in genomics and precision medicine to develop a deep understanding of the root causes of diseases.

The combination of AI, big data and IoT technologies are creating new innovations, also other eminent technologies like cloud computing, augmented reality, virtual reality and blockchain are being used extensively in the Pharmaceutical industry's digital transformation.

Key Highlights

Reimagining Pharma by Integrating Science and Technology:

• Digital Technology trends in Pharma and Bio-Tech industry
• Adopting AI and Machine Learning to unlock the full potential of Pharma
• How pharma can integrate into digital health environment
• Collaborative Innovation: Finding the right partners to leverage new technologies in Pharma
• Patient Centred Drug Discovery

Digital Discovery and Clinical Trials:

• Applying AI to the design of lead compounds for new drugs
• Algorithms and Models for drug discovery
• AI and ML for Target Identification & Validation in Drug Discovery
• Advancing Drug Discovery through quantum computing
• Genomics & Drug Discovery
• Virtual and Hybrid Clinical Trials
• R&D Use Cases

Decoding the Value of Data Science, Big Data & Informatics:

• Implementation and relevance of FAIR data principles in Pharma R&D
• Harnessing Data Science for Drug Combination Discovery
• AI and Big Data: A powerful combination for future growth
• The use of AI to make sense of clinical data
• Use of big data for precision medicine
• Multi-omics & clinical data to unlock the power of complex datasets
• Integration and Visualization of translational Medicine Data
• Data & Healthcare Analytics

Real-World Data & Real-World Evidence:

• The Growing Importance of Real-World Data
• RWD for clinical research and drug development
• RWE and RWD to support regulatory decision making
• Real-World Data Science to advance Patient Care
• Managing real world data governance

Digital Health & Future Innovations:

• Healthcare & Medical Technology
• Adoption of IoT in Pharma
• Potential of Cloud Computing in Pharma
• Impact of Digital Health in Pharma
• Digital Health strategy and Patient centric Clinical Trials
• The convergence of Digital Therapeutics and Pharma in Digital Health
• How pharma-health collaboration works on innovating drug discovery & patient experience
• Blockchain and AI-based Platform

Who Should Attend:

This event is designed for senior level attendees from various companies including pharmaceutical, biotechnological, biopharmaceutical, CRO's, Diagnostics, solution provider and government institutions. Attendees includes Chief Data Officer, VPs, GMs, Directors, Heads and Managers of:

• Drug Discovery
• Drug Delivery Innovation
• R&D IT
• Big Data Solutions
• AI/ Machine Learning
• Cognitive Computing
• Digital innovative strategic planning
• Regulatory and pharmacovigilance
• IT Strategy
• Real-World Data
• Real-World Evidence
• Data Management & Analytics
• Data Science
• Clinical trials and data management
• Translational informatics
• Data storage and analysis
• Enterprise Architecture
• Information Systems
• Contract outsourcing service providers
• Digital Health
• Genomics
• Healthcare IT
• Multi-channel Management

Agenda:

Day 1

• 08:15: Registration & Refreshments
• 08:50: Welcome Address & Chairperson's opening remarks
• 09:00: Digital Transformation: Developing and deploying a digital authoring platform across the value chain
• 09:30: Can drug repurposing be saved with artificial intelligence?
• 10:00: Beyond the molecule: when software understands the patient
• 10:40: Business Card Exchange with Morning Coffee/Tea & Discussion
• 11:00: Collaborative Innovation: Finding the right partners to leverage new technologies in Pharma
• 11:30: Implementation and Relevance of FAIR Data Principles in Big Pharma
• 12:00: Network models in drug discovery and development
• 12:30: Luncheon & Networking - Explore, Engage with Your Peers, and Connect at Our Exhibitor Booths
• 13:25: The evolving patent landscape at the intersection of biotechnology and AI
• 13:50: Case Study - How Novo Nordisk leverage in silico tools like AI/ML and genetics to reach strategic priorities
• 14:20: Essential innovations to unlock the potential of precision medicine
• 14:45: The impact of AI in Biologics discovery and optimisation for Pharma
• 15:15: Recharge with Tea or Coffee While Networking
• 15:35: The Impact of Multi-omic Analysis/Integration in Diagnosing Disease and Driving Drug Development
• 16:05: Connected data and single patient jackets for precision health
• 16:35: Corporate start-up partnerships in digital health
• 17:05: AI in Oncology: Personalizing Cancer Treatment and Care
• 17:30: Executives Discussion and Debate: Empowering drug discovery and development: the AI and Machine Learning revolution?
• 18:00: Graph-in, graph-out: how graph Retrieval Augmented Generation (g-RAG) improves business value delivery out of Large Language Models
• 18:30: Chair Person's Closing remarks
• 18:40: Networking Drinks Session - Unwind with Evening Drinks and Engaging Conversations

Day 2

• 08:15: Registration & Refreshments
• 08:50: Welcome Address & Chairperson's opening remarks
• Bridging Pharma and Technology for Future Breakthroughs
• 09:00: How Real World Data is transforming drug development
• 09:30: Boehringer's AI-Driven Knowledge Management Revolution
• 10:00: AI Partnerships with Pharma - What Pharma partners look for and key deal considerations
• 10:30: Business Card Exchange with Morning Coffee/Tea & Discussion
• 10:50: GPT Do That? Practical Applications for Generative AI in Drug Development
• 11:15: The IT Architecture for AI in Pharma R&D
• 11:45: Unlocking ROI for Generative AI use cases-Designing the right framework
• 12:05: Integrating Multimodal Data for Computational Phenotyping
• 12:30: Luncheon & Networking - Explore, Engage with Your Peers, and Connect at Our Exhibitor Booths
• 13:20: Building a High Throughput AI and Physics-based Drug Screening Platform: And its Application in Drug Designing
• 13:40: Implementation of Gen AI Adoption Strategies for Pharma Corporate Functions
• 14:10: Leveraging AI to Enhance Clinical Trials
• 14:40: Pivotal role of Data Integration in Enabling pharma to fit its drug development strategy while accelerating innovation
• 15:10: Recharge with Tea or Coffee While Networking
• 15:30: Are we focusing on the real challenges with DTx?
• 16:00: Preparation of the ecosystem at corporation level to enhance innovation.
• 16:30: Beyond Buzzwords: Deciphering AI vs Traditional IT Realities
• 17:00: Panel Discussion: Advancing Drug Discovery and Patient Care: The Synergy of Emerging Technologies in Pharma-Health Collaboration
• 17:30: Closing remarks

For more information about this conference visit https://www.researchandmarkets.com/r/2qlpcw

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