Twoknct

Digital Twin in Pharma Industry Conference

REGISTRATION:

HIGHLIGHTS

  • Digital Twin Applications in Drug Development
  • Manufacturing Optimization and Quality Control
  • Personalized Medicine and Patient Care
  • Supply Chain Management and Logistics
  • Regulatory Compliance and Data Security
  • Emerging Technologies and Future Trends
  • Industry Case Studies and Success Stories
  • Collaboration and Partnerships
  • Strategic Roadmap and Implementation Strategies
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VENUE: HOTEL MELIÁ VALENCIA, SPAIN

Welcome to Digital Twin in the Pharma Industry

The Digital Twin in Pharma Industry conference aims to explore the transformative potential of Digital Twin technology within the pharmaceutical sector. This cutting-edge event brings together industry experts, thought leaders and innovators to discuss and showcase the latest advancements, case studies, and best practices in leveraging Digital Twins for pharmaceutical development, manufacturing, and patient care.

ABOUT THE CONFERENCE

The conference provides a unique platform for networking, knowledge exchange, and collaborative opportunities among attendees from pharmaceutical companies, technology providers, regulatory bodies, and academia. Participants can gain valuable insights, forge strategic partnerships, and stay ahead in leveraging Digital Twins to drive innovation, efficiency, and competitiveness in the evolving pharma landscape. Overall, the conference provides a collaborative platform for interdisciplinary exchange, networking opportunities, showcasing innovations, and fostering partnerships among stakeholders driving the digital transformation of the pharmaceutical industry through Digital Twin technology.

How to Book?

Please send your registration form to:
registration@twoknct.com

AUDIENCE DIRECTORS, VPS, MANAGERS AND HEADS OF:

  • Introduction to Digital Twin Technology: Understanding its Potential and Applications in the Pharma Industry
  • Leveraging Digital Twins for Drug Discovery and Development: Enhancing Efficiency and Accelerating Timeto-Market
  • Optimizing Pharmaceutical Manufacturing with Digital Twins: Improving Quality Control and Operational Efficiency
  • Enhancing Patient Care and Personalized Medicine Through Digital Twins: From Concept to Implementation
  • Overcoming Challenges and Maximizing ROI: Strategies for Successful Digital Twin Implementation in the Pharma Industry

INDUSTRIES

Pharmaceutical Industry Professionals: This includes professionals working in pharmaceutical companies involved in drug discovery, development, manufacturing, quality control, supply chain management, regulatory affairs, and patient care. Executives, managers, scientists, engineers, and technicians from pharmaceutical firms can benefit greatly from the insights and discussions at the conference.

Healthcare Providers and Practitioners: Healthcare professionals such as doctors, clinicians, pharmacists, and researchers who are involved in personalized medicine, clinical trials, treatment optimization, and patient care pathways will find valuable information on how Digital Twins are revolutionizing healthcare delivery and improving patient outcomes.

Technology and Solution Providers: Representatives from technology companies, software developers, IoT device manufacturers, AI/ML solution providers, and cybersecurity firms specializing in healthcare and pharmaceutical domains can showcase their products, services, and innovations related to Digital Twin technology. They can also gain insights into industry needs and collaborate with pharmaceutical companies for mutual growth opportunities.

Regulatory and Compliance Experts: Professionals working in regulatory agencies, compliance departments of pharmaceutical companies, and legal advisors specializing in healthcare regulations can attend sessions focused on regulatory considerations, data security, and compliance challenges associated with implementing Digital Twins in the pharmaceutical industry.

Academia and Research Institutions: Researchers, academics, students, and scholars from universities and research institutions involved in pharmaceutical sciences, digital technologies, AI/ML, data analytics, and healthcare informatics can benefit from the latest advancements, case studies, and future trends discussed at the conference.

Consultants and Industry Analysts: Consultants, industry analysts, market researchers, and business advisors specializing in the pharmaceutical and healthcare sectors can gain valuable insights into market trends, industry challenges, competitive landscapes, and strategic opportunities related to Digital Twin adoption in pharma.

KEYNOTE SPEAKERS

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Quy Vo-Reinhard

Co-Founder & Director of dHealth

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Vineet Basotia

Global Head, Senior Director, Health Systems Strategic Insights & Analytics

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Paula Sandrak

Product Strategist (dHealth & Health AI)

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Stephane Alberth

Founder & CEO Aixa

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James Graveston

Senior Med Tech Specialist

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Veysel Kocaman

Head of Data Science | John Snow Labs

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Roberta Pandolfi

Roberta Pandolfi Global Clinical Development & Operations

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Ghaith Sankari

Head of Global Digital Health Data Science

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Umar Ansari

Digital Transformation AlinIQ Digital Health Solutions Core Diagnostics

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Michelle Bridenbaker

Head of Global Medical Information – RRD

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David Matusiewicz

Keynote-Speaker I Author & Editor I Dean & Institute Director I LinkedIn Top Voice | Digital Health

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Mindy Simon

Co-Director - NHS Innovation Accelerator

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Liv Trolle

Director, Head of Customer Engagement Excellence Global Customer Experience

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Aisha Rahim

Medical Executive and Director at Johns Hopkins Health Plans JHHP

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SPONSOR

AGENDA , DAY ONE

REGISTRATION AND WELCOME COFFEE
OPENING ADDRESS FROM THE CHAIRMAN
BASICS OF DIGITAL TWIN: CONCEPTS AND APPLICATIONS IN PHARMA

Case study

  • Concept: A digital twin is a virtual replica of a physical entity or process, mirroring its behavior and characteristics in a digital space.
  • Components: Data collection, integration, analytics, and visualization form the core of digital twin technology.
  • Pharma Applications: Digital twins optimize drug development, manufacturing, supply chain, personalized medicine, and remote patient monitoring.
  • Benefits: Accelerated innovation, improved efficiency, enhanced quality, personalized healthcare, and predictive insights.
  • Challenges: Data security, interoperability, scalability, regulatory compliance, and skill gap.
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Michelle Bridenbaker
Head of Global Medical
Information – RRD

DIGITAL TRANSFORMATION IN HEALTHCARE

Case study

  • The Impact of AI
  • Platforms and Ecosystems in Healthcare
  • Artificial Empathy and Emotions
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David Matusiewicz Keynote-Speaker I Author & Editor I Dean & Institute
Director I LinkedIn Top
Voice | Digital Health

MORNING COFFEE AND NETWORKING BREAK
SPEED NETWORKING

Innovative approach to maximize networking capabilities through two minutes periods, where delegates can meet their peers and exchange business
cards before rotating to the next company representative

FUTURE TECHNOLOGIES AND EMERGING TRENDS
  • Artificial Intelligence: Advancements in AI will drive personalized medicine, drug discovery, and predictive analytics in healthcare.
  • Internet of Medical Things (IoMT): Integration of IoMT devices will enable remote patient monitoring, telemedicine, and real-time health data analysis.
  • Blockchain: The adoption of blockchain technology will enhance security, transparency, and traceability in healthcare data management and supply chains.
  • 3D Bioprinting: The evolution of 3D bioprinting will revolutionize tissue engineering, organ transplantation, and personalized medical device fabrication.
  • Augmented Reality (AR) and Virtual Reality (VR): AR and VR applications will transform medical training, surgical planning, and patient education, enhancing healthcare delivery and outcomes.
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Aisha Rahim
Medical Executive and Director at Johns Hopkins Health Plans JHHP

BASICS OF DIGITAL TWIN: CONCEPTS AND APPLICATIONS IN PHARMA
  • Digital twins in pharma replicate real-world drugs, processes, and patient responses.
  • They simulate drug development, testing, and manufacturing to enhance efficiency and quality.
  • Real-time monitoring aids in predicting drug efficacy and side effects.
  • Digital twins optimize supply chain management, ensuring timely delivery of medications.
  • Integration with AI enhances decision-making for personalized medicine and treatment strategies.
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Vineet Basotia
Global Head, Senior Director, Health Systems Strategic Insights & Analytics

BUSINESS LUNCH

Workshop

HEALTH AI DEVELOPMENT & TESTING WITH DIGITAL TWINS
  • Intro to Simulation & DTs in Health AI Development
  • Understanding Health AI Development Process
  • Regular Lifecycle
  • Challenges in Traditional Development Approaches
  • How Digital Twins Can Address These Challenges
  • Practical Exercise #1: Use Cases & Related Challenges
  • Case Studies & Examples
  • Designing, Testing & Implementing a Digital Twin
  • Success Stories & Lessons Learnt
  • Practical Exercise #2: Implementing Digital Twins in An
    Interactive Session
  • Summary & Discussion
  • What Next? Future Trends
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Ghaith Sankari
Head of Global Digital
Health Data Science

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Paula Sandrak
Product Strategist(Health $ Health AI)

NETWORKING COFFEE BREAK
PANEL DISCUSSION
CHAIRMAN’S CLOSING REMARKS AND END OF DAY ONE
COCKTAIL RECEPTION

AGENDA , DAY TWO

REGISTRATION AND WELCOME COFFEE
OPENING ADDRESS FROM THE CHAIRMAN
DIGITAL TWIN FOR PERSONALIZED MEDICINE AND PATIENT CARE
  • Digital twins personalize medical treatment by replicating individual patient characteristics and health data.
  • They simulate how different treatments may affect a patient’s unique physiology and health outcomes.
  • Real-time monitoring through digital twins enables proactive intervention and early detection of health issues.
  • Remote patient monitoring expands healthcare beyond traditional clinical settings, improving accessibility and convenience.
  • Integration with AI algorithms analyzes patient data to tailor treatments, predict disease progression, and optimize healthcare deliver
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Mindy Simon
Co-Director – NHS Innovation
Accelerator

DEVELOPING A ROADMAP FOR DIGITAL TWIN IMPLEMENTATION
  • Assess current processes and identify areas where digital twins can bring the most value.
  • Define clear objectives and outcomes for digital twin implementation, aligning them with overall business goals.
  • Select appropriate technologies and platforms that suit the organization’s needs and capabilities.
  • Develop a phased implementation plan, starting with pilot projects to validate feasibility and scalability.
  • Continuously evaluate and iterate on the digital twin implementation roadmap based on feedback, lessons learned, and evolving business requirements.

Liv Trolle
Director Head of Customer Engagement Excellence Global Customer Experience

MORNING COFFEE AND NETWORKING BREAK
FUTURE TRENDS AND INNOVATIONS: REVOLUTIONIZING HEALTHCARE DATA ANALYTICS THROUGH AI
  • Diagnostic departments often operate like vending machines, but they possess untapped data wealth crucial for healthcare improvement.
  • Healthcare trends and challenges highlight the need for diagnostic departments to evolve into decision engines.
  • The vision is to transform diagnostic departments into hubs of digital health innovation, driving improved patient outcomes and operational efficiency.
  • Success lies in leveraging data insights to shift from a reactive model to proactive healthcare management.
  • AI-driven data analytics offer the key to unlocking the potential of diagnostic data, empowering informed decision-making, and driving positive change in healthcare delivery.
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Umar Ansari
Digital Transformation
AlinIQ Digital Health Solutions Core Diagnostics

QUALITY CONTROL AND ASSURANCE THROUGH DIGITAL TWIN IMPLEMENTATION
  • Digital twin implementation enhances quality control by providing real-time monitoring and analysis of manufacturing processes.
  • Virtual replicas enable predictive maintenance, reducing downtime and ensuring continuous quality production.
  • Quality assurance benefits from digital twins by enabling early detection of defects and deviations, minimizing product recalls and rework.
  • Integration with IoT sensors and AI algorithms improves accuracy in detecting anomalies and optimizing quality control processes.
  • Digital twins facilitate data-driven decision-making, driving improvements in product quality, customer satisfaction, and overall business performance
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James Graveston
Senior Med-tech Specialist

BUSINESS LUNCH
FUTURE TRENDS AND INNOVATIONS
  • Delving into emerging technologies, trends, and innovative applications shaping the future of Digital Twins in pharma, including AI/ML integration, IoT connectivity, and blockchain solut
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Roberta Pandolfi
Global Clinical Development & Operations

COMMUNICATION ASPECTS OF A DIGITAL TWIN
  • Digital twins facilitate seamless communication between physical assets and their virtual counterparts, enabling real-time data exchange.
  • They provide a common platform for collaboration among various stakeholders, including engineers, designers, and maintenance teams.
  • Communication through digital twins allows for remote monitoring and control, enabling timely decision-making and intervention.
  • Integration with communication protocols and APIs ensures interoperability with existing systems and devices.
  • Digital twins enable historical data storage and analysis, supporting post-event communication and performance evaluation.
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Stephane Alberth
Founder & CEO Aixa

NETWORKING COFFEE BREAK
ADVANCING PATIENT CARE WITH NLP AND DIGITAL TWINS: INCORPORATING MEDICAL LLMS IN PHARMA
  • Introduction to NLP and Digital Twins in Pharma
  • Role of Medical LLMs in Enhancing Digital Twins
  • Integrating NLP with Digital Twins
  • Challenges and Considerations
  • Future of Healthcare Delivery
  • Conclusion
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Veysel Kocaman
Head of Data Science | John Snow Labs

EMERGING TECHNOLOGIES SHAPING THE FUTURE OF DIGITAL TWIN IN PHARMA
  • AI and machine learning enhance digital twins in pharma by analyzing vast datasets for drug discovery and development.
  • IoT sensors provide real-time monitoring of pharmaceutical  processes, improving efficiency and quality control.
  • Blockchain technology ensures secure data sharing and traceability across the pharmaceutical supply chain within digital twin systems.
  • Augmented reality (AR) and virtual reality (VR) enable immersive simulations for drug testing and training within digital twin environments.
  • Integration of 3D printing technology within digital twins enables rapid prototyping and customized drug delivery systems in pharmaceutical manufacturing.
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Quy Vo-Reinhard
Co-Founder & Director of
dHealth

CHAIRMAN’S CLOSING REMARKS AND END OF CONFERENCE

REGISTRATION FORM

DELEGATE PACKAGES:

For academics and nonprofit organization.
Includes the delegate package benefits

For small companies and startups.
Includes the delegate package benefits.

2 days of conference + discussion with industry experts.
Business lunches and cocktail reception

2 days of conference + discussion with industry experts.
2 nights luxury accommodation + transportation service from
airport to hotel. Businesslunches and cocktail reception

SPONSORSHIP PACKAGE

Our sponsorship packages are designed to offer optimum exposure for the budget that are available. For more information on the packages and to discuss your sponsorship requirements, please contact jakub.taborsky@twoknct.net

If you have any specific requirements that you feel are not covered by the packages available, then please do not hesitate to get in touch. We are always available to help you identify the options that suit your budget while maximizing your value and visibility at the conference.

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