The 7th 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 7th 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.
It gives us a great pleasure in welcoming you to our whole new pharmaceutical technology conference 7th Annual Digi-Tech Pharma & AI 2024.
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
Agenda
Tuesday - 28th May 2024
08:15 - Registration & Refreshments
Kick off your conference experience by checking in at our registration desk. Collect your event materials and enjoy a selection of refreshments. It's the perfect time to mingle with fellow attendees and set the tone for an engaging and informative event
08:50 - Welcome Address & Chairperson’s opening remarks
Begin your conference journey with a warm welcome from our esteemed Chairperson
Mark Duman Mark Duman Managing Director/ Chief Patient Officer
MD Healthcare Consultants
Innovation in Pharma
09:00 - The development journey of a drug R&D data & analytics platform team
How to initiate a team, how to ideate, how to grow and scale up. This is the real story of the data42 initiative of Novartis
Cem Asma Cem Asma Team Agility Lead
Novartis
09:30 - Executives Discussion and Debate: Empowering drug discovery and development: the AI and Machine Learning revolution?
How pharmaceutical companies are adopting AI to discover new drugs and improve existing ones, and the impact this is having on their R&D strategies
How AI is not just a tool for research but is reshaping business models, leading to collaborations with tech companies, the rise of AI-driven biotech firms, and changes in investment strategies
Strategies to maximize AI & ML's impact in drug discovery and development
Mitigating risks and uncertainties in drug development through AI. Explore how AI is being used to navigate the complexities of both early-stage discovery and late-stage clinical trials
Mark Duman Mark Duman Managing Director/ Chief Patient Officer
MD Healthcare Consultants
Paolo Avalle Paolo Avalle Director
MSD
10:00 - Collaborative Innovation: Finding the right partners to leverage new technologies in Pharma
How early-stage partnering and collaboration will inhibit pharma innovation
How Biotech revolution has changed the face of drug development?
Working with incubators, accelerators, and innovation forums can also help
Having a good governance structure in place
Konrad Dobschuetz Konrad Dobschuetz National Director
NHS Innovation Accelerator
10:30 - Business Card Exchange with Morning Coffee/Tea & Discussion
Network over morning coffee or tea, exchanging business cards or using our app's QR code scanner for easy contact sharing. A prime moment for engaging discussions and new connections
AI and ML-based Drug Discovery
10:50 - Case Study - How Novo Nordisk leverage in silico tools like AI/ML and genetics to reach strategic priorities
Jakob E. Larsen Jakob E. Larsen Target Discovery Engine Project Director
Novo Nordisk
11:20 - Advancing Drug Discovery via Artificial Intelligence - Applying AI to the Design of Lead Compounds for new drugs
11:50 - Can drug repurposing be saved with artificial intelligence?
Paul Agapow Paul Agapow Director
GSK
12:20 - Maximizing Drug Discovery Success with Machine Learning
Using machine learning to integrate distinct, bigger datasets created from high throughput screening data can provide a path to predict bioactivities for targets and molecular properties with increased levels of accuracy
Broader applicability of machine learning and the potential to change the drug development paradigm
ML tools that can improve discovery and decision making
Cedric Berger Cedric Berger Head of Knowledge Extraction and Integration
Roche
12:50 - Luncheon & Networking - Explore, Engage with Your Peers, and Connect at Our Exhibitor Booths
Enjoy a luncheon while networking with peers and exploring exhibitor booths. This is an ideal time to engage with industry leaders, delve into innovative solutions, and forge valuable connections in a collaborative atmosphere.
13:30 - Accelerating drug discovery through quantum-computing
Analysing larger-scale molecules
Algorithmic developments in quantum machine learning
Offer better insights and the potential to help advance drug discovery
Ian Pepper Ian Pepper Director Technology Innovation
Novartis
Genomics and Precision Medicine
14:00 - Network models in drug discovery and development
Julio Molineros Julio Molineros Associate Director
The Janssen Pharmaceutical companies of Johnson & Johnson
14:30 - System approach - Combining data for precision health
15:00 - The Impact of Multi-omic Analysis/Integration in Diagnosing Disease and Driving Drug Development
James Duboff James Duboff Strategic Partnerships Director
Genomics England
15:30 - Recharge with Tea or Coffee While Networking
Refresh with a tea or coffee break, using this time to continue networking. It's a perfect opportunity to discuss ideas, share experiences, and connect with fellow attendees in a relaxed setting.
Data Science, Big Data & Informatics
15:50 - Implementation and Relevance of FAIR Data Principles in Big Pharma
Improving the efficiency and effectiveness by implementing the FAIR guiding principles for scientific data
Tools enabling FAIR data
Fair as a machine learning enabler
Benefits of FAIR in pharma
Jimmy Toulas Jimmy Toulas Real World and Commercial Data Director, EMEA & China
Pfizer
16:20 - Data Driven Drug Discovery: AbbVie Perspective
Abhishek Pandey Abhishek Pandey Group Lead - Pharma discovery
AbbVie
16:50 - Translational drug informatics platform
Importance of Translational informatics platform in R&D
Why is it necessary to adopt TI in the resource-constrained world
Challenges ahead and moving forward
17:10 - Digital Transformation: Developing and deploying a digital authoring platform across the value chain
Use of AI in clinical document development
Taking a holistic approach, expanding beyond clinical documentation
Deployment strategy, making digital tools operational
Value generation today and in the future, speeding up submission file creation
Louise Lind Skov Louise Lind Skov Head of Content Digitalisation
Novo Nordisk
Waheed Jowiya Waheed Jowiya Digitalisation Strategy Lead
Novo Nordisk
17:30 - Implementation of Gen AI Adoption Strategies for Pharma Corporate Functions
Marcos Camara Marcos Camara Digital Solutions Senior Manager
Astellas Pharma Europe
18:00 - Round Table Discussion
All the participants will have a great opportunity to discuss and explore a selection of most interesting topics discussed during the conference in small groups with their industry colleagues in an informal setting. Each table will nominate a head who will summarise the discussion and questions posed. The group members are given equal rights to share and learn from each other's experiences to discover an actionable solution on the discussed topic.
18:30 - Chair Person's Closing remarks
End the conference with the Chairperson's closing remarks, summarizing key insights and leaving attendees with final thoughts to inspire ongoing engagement and action.
18:40 - Networking Drinks Session - Unwind with Evening Drinks and Engaging Conversations
Wrap up the day with evening drinks and lively conversations. A relaxed setting to network, share insights from the day, and enjoy the company of fellow attendees.
Wednesday - 29th May 2024
08:15 - Registration & Refreshments
Start the second day of the conference by checking in and grabbing a morning refreshment. It’s a great opportunity to re-engage with peers, discuss the previous day’s insights, and prepare for another day of learning and networking.
08:50 - Welcome Address & Chairperson’s opening remarks
Start the second day with insightful remarks from our Chairperson
Real World Data, Real World Evidence & Data Integration
09:00 - Real World Evidence model for assessing new drugs - Enhancing Real World Data Environment
How RWE model can be used in R&D to accelerate new product developments?
Integrated evidence development model
Building an effective RWE based capabilities system
Advantages of implementing AI and ML
Helene Vioix Helene Vioix Director Global Evidence & Value Development Oncology
Merck KGaA
09:25 - The Role of Digital Technology in Enhancing Real-World Data Collection and Analysis
Irena Brookes-Smith Irena Brookes-Smith Head of Healthcare Analytics
AstraZeneca
09:45 - Integration and Analysis of Real-World Data (RWD) for clinical research and drug development
Leveraging Real-World Data to Overcome the Inefficiencies of Drug Development
Understanding the clinical processes
RWD to create novel, faster and less invasive approaches to advance disease understanding and biomarker discovery
RWD for EHRs in last phase research studies
Real-World Data in clinical study through a decentralized approach
Mohamed Sharaf Mohamed Sharaf EMEA Senior Medical Advisor- Immunology
Janssen Europe, Middle East & Africa
10:05 - Pivotal role of Data Integration in Enabling pharma to fit its drug development strategy while accelerating innovation
Integrating data from distinct sources and leverage predictive analytics to drive informed, real-time decisions
Deep Learning based multi-omics data integration
Role of data integration and analytics and how it helps in faster decision making and clinical trials.
Implementing end-to-end data integration
10:30 - Business Card Exchange with Morning Coffee/Tea & Discussion
Network over morning coffee or tea, exchanging business cards or using our app's QR code scanner for easy contact sharing. A prime moment for engaging discussions and new connections.
10:50 - RWDplus within Reverse Translation
Jost Leemhuis Jost Leemhuis Safety Science Partner and Global Business Lead
Roche
Integrating Digital Technologies in Pharma - Data Visualization, IoT, and Cloud Solutions
11:20 - AI-Powered Digital healthcare product's development Framework
Paula Salme Sandrak Paula Salme Sandrak Product Strategist (dHealth & Health AI)
Bayer
Ghaith Sankari Ghaith Sankari Head of Global Digital Health Data Science
Bayer
11:50 - AI Partnerships with Pharma - What Pharma partners look for and key deal considerations
Daniyal Hussain Daniyal Hussain Executive Director, Technology Business Development
GSK
12:20 - Luncheon & Networking - Explore, Engage with Your Peers, and Connect at Our Exhibitor Booths
Enjoy a luncheon while networking with peers and exploring exhibitor booths. This is an ideal time to engage with industry leaders, delve into innovative solutions, and forge valuable connections in a collaborative atmosphere.
13:00 - Adoption of IOT in Pharma
Potential benefits of the IoT on clinical research
Data processing and management
Patient safety and automated monitoring systems
Challenges in regulatory approval and compliance
Andy Cachaldora Andy Cachaldora General Manager Digital Service Northern Europe
GE Healthcare
Digital Health Innovations & Partnerships in Pharma
13:30 - Potential impact of Digital Health in Pharma
Strategies for efficient collaboration
Digital health is proving to be a valuable asset for the pharma industry
Intersection of health-care and pharma are together transforming customer journey
Identifying others areas that need to be looked at
Innovation is key to the future
Leslie Anne Fendt Leslie Anne Fendt Global Program Head, Remote Vision Monitoring (Digital Health)
Roche
14:00 - Incorporating digital health strategy to achieve patient centric clinical trials
Virtual Trials
Assessing new technology scalability with novel digital health initiatives
Integrating Clinical Research into the Health care Eco-System
Linus Kao Linus Kao Senior Expert Decentralized Clinical Trial (DCT)
Novartis
14:30 - Blockchain technology to improve efficiency and safety
15:00 - Harnessing the Unexplored Power of Data from Digital Health Sources
Jonas Abdel-Khalik Jonas Abdel-Khalik Digital Health Lead Nordics
Takeda
15:30 - Recharge with Tea or Coffee While Networking
Refresh with a tea or coffee break, using this time to continue networking. It's a perfect opportunity to discuss ideas, share experiences, and connect with fellow attendees in a relaxed setting.
15:50 - Wearable technology: Hype or the future?
Emergence of wearable tech-potential benefits
Diseases and areas companies have focused and other potential area
Strategies to engage customers and to expand
Integrating with the existing systems
16:20
Topic TBC
Spencer Jones Spencer Jones Snr Digital Health Lead
Bristol Myers Squibb
16:50
Panel Discussion: Advancing Drug Discovery and Patient Care: The Synergy of Emerging Technologies in Pharma-Health Collaboration
Why is it important for pharma and healthcare to work together? •
The changing patient behaviour in the digital era
Why is it essential to be prompt in identifying and addressing the patient’s needs?
How will digitization help bring patients on board?
Progress made by companies so far
Strategies to be adopted to increase patient -company data flow
Mark Duman Mark Duman Managing Director/ Chief Patient Officer
MD Healthcare Consultants
17:20 - Closing remarks
End the conference with the Chairperson's closing remarks, summarizing key insights and leaving attendees with final thoughts to inspire ongoing engagement and action.
Speakers
Mark Duman
Managing Director/ Chief Patient Officer
MD Healthcare Consultants
Cem Asma
Team Agility Lead
Novartis
Paolo Avalle
Director
MSD
Konrad Dobschuetz
National Director
NHS Innovation Accelerator
Jakob E. Larsen
Target Discovery Engine Project Director
Novo Nordisk
Paul Agapow
Director
GSK
Cedric Berger
Head of Knowledge Extraction and Integration
Roche
Ian Pepper
Director Technology Innovation
Novartis
Julio Molineros
Associate Director
The Janssen Pharmaceutical companies of Johnson & Johnson
James Duboff
Strategic Partnerships Director
Genomics England
Abhishek Pandey
Group Lead - Pharma discovery
AbbVie
Ghaith Sankari
Head of Global Digital Health Data Science
Bayer
Helene Vioix
Director Global Evidence & Value Development Oncology
Merck KGaA
Mohamed Sharaf
EMEA Senior Medical Advisor- Immunology
Janssen Europe, Middle East & Africa
Jost Leemhuis
Safety Science Partner and Global Business Lead
Roche
Louise Lind Skov
Head of Content Digitalisation
Novo Nordisk
Andy Cachaldora
General Manager Digital Service Northern Europe
GE Healthcare
Leslie Anne Fendt
Global Program Head, Remote Vision Monitoring (Digital Health)
Roche
Linus Kao
Senior Expert Decentralized Clinical Trial (DCT)
Novartis
Jonas Abdel-Khalik
Digital Health Lead Nordics
Takeda
Spencer Jones
Snr Digital Health Lead
Bristol Myers Squibb
Irena Brookes-Smith
Head of Healthcare Analytics
AstraZeneca
Daniyal Hussain
Executive Director, Technology Business Development
GSK
Waheed Jowiya
Digitalisation Strategy Lead
Novo Nordisk
Marcos Camara
Digital Solutions Senior Manager
Astellas Pharma Europe
Jimmy Toulas
Real World and Commercial Data Director, EMEA & China
Pfizer
Paula Salme Sandrak
Product Strategist (dHealth & Health AI)
Bayer
Mohammad Hassan Khalid
Machine learning and Data science
AstraZeneca
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 include 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
Location
ADDRESS
Hilton London Kensington
179-199 Holland Park Ave
London
W11 4UL
United Kingdom
