What is the AI & Blockchain Applications for Pharma R&D Workshop?

The critical challenges of R&D have pushed pharma companies to investigate new ways of improving innovation including current developing technologies like AI & Blockchain. The “AI & Blockchain Applications for Pharma R&D” Workshop is a unique opportunity for senior executives of the pharma R&D and IT fields to meet leading, global AI and Blockchain experts and understand the emerging opportunity with these technologies to dramatically improve R&D efficiency and achieve significant cost-savings. Since implementing AI & Blockchain, however, involves a significant investment that requires informed thinking and professional advice, decision-makers need to understand the actual state and relevancy of these technologies today for their companies. Firstly, machine learning and deep learning have made a tremendous impact on speeding-up and transforming data analysis, learning, and prediction. Recognizing AI’s revolutionary advancement in data analysis is key for identifying its real cost-effectiveness for R&D. Secondly, industry executives also need to learn about the recent rise of blockchain as an increasingly important platform for sharing data at the highest level of security.

In this workshop, decision-makers will deepen their ability to effectively implement both AI & Blockchain in R&D, by learning from real use-cases. By bringing together some of the world’s experts on AI & Blockchain in pharma R&D, senior executives will have the opportunity to tap into exclusive insights and know-how, in terms of the most groundbreaking technological solutions to the R&D problem. Every participant can expect to come out knowing the fundamentals of AI and Blockchain technologies as well as gaining hands-on experience in what seems to be the future of the life science industry.

Session Format:

The 2-day course will be run as a series of 3 half-day workshops and 4 presentations, led by experienced pharma industry experts of AI and Blockchain. The concept is to give senior executives responsible for R&D and IT strategies the highest level of understanding about AI and Blockchain as transformative technologies for pharma innovation. All training will be done in 50% presentation-style and 50% interactive sessions (real-world scenarios).

 

Request agenda here for complete speaker list

Industry Experts

Michael Frank
Director,Strategy- World Wide Research and Development
Pfizer, USA

Pascal Bouquet
Global Head Technology, Architecture, Digital Drug Development
Novartis, Switzerland

Marco Cuomo
Global Lead EWS Service Operations & Engineering
Novartis, Switzerland

Natalie Pankova
Chief Scientific Officer
Project Shivom, UK

Axel Schumacher
Co-Founder & CEO
Project Shivom, Germany
 
Manuel Martin Marquez
Big Data Engineer and Data Scientist, CERN
Co-founder, Orvium, Switzerland

 

Workshop Leaders

Alex Zhavoronkov
Co-founder, Insilico Medicine
CSO, The Biogerontology Research Foundation, USA

Ashley Kemball-Cook
Head of Business Development
Qadre

Lucie Munier
Business and Legal Associate
Qadre, UK

Frank Austin Nothaft
Genomics Data Engineer
Databricks

 
Request agenda here for complete speaker list

Michael Frank
Director,Strategy- World Wide Research and Development
Pfizer, USA

Artificial intelligence systems are expected to transform industries, where large amounts of data are available for training, and the pharmaceutical industry is one of the few industries, where multi-modal data is abundant. The impact of the recent advances in AI on the pharmaceutical industry is expected to be immense at every level from lead generation to clinical trials management andto marketing.

This half- day workshop will help bridge this gap at the executive level starting from the vocabulary and anthe overview of the data requirements to the understanding of the near-term hardware roadmaps covering GPU and other emerging technologies.

Objectives of the workshop:

  • Provide an umbrella view of the current state and directions in deep learning.
  • Introduce the industry executives to deep learning and the basic terminology.
  • Present the recent trends in deep reinforcement learning and generative models.
  • Big picture of the business areas within the pharmaceutical companies, where deep learning technologies may have transformative effects.
  • Provide the use cases of AI in drug discovery, clinical trials management and...
  • Executive-level introduction to the “who is who” in deep learning and artificial intelligence.
  • Provide an overview of the competitive landscape in artificial intelligence for drug discovery.
     

Benefits of the workshop:

  • Learn to speak the same language with the leaders of AI-powered industries.
  • Effectively integrate AI into every part of the organization.
  • Understand the hardware and data ecosystem for successful applications of AI.
  • Learn about the “hot areas” in AI.
Workshop Leader:

Alex Zhavoronkov
Co-founder, Insilico Medicine
CSO, The Biogerontology Research Foundation, USA

Artificial intelligence is driving innovation because it enables business executives to focus on prioritized, data-driven, predictive information output from machine learning to make better decisions. One of the challenges for implementing AI, however, is the enormous amount of messy and unstructured data which is not ready for analytics. How can we avoid a “junk in, junk out” data scenario? This workshop will explore the fundamentals of machine learning, deep learning, and probabilistic computing with its challenges and opportunities as applied to the R&D process. We will explore how a unified cloud-based platform for machine learning facilitates collaboration across data scientist and data engineering teams, as well as for business executives and which has already positively impacted R&D innovation and productivity.

Objectives of the workshop:

  • Cleaning data and preparing it for analytics.
  • Enforcing data integrity and automating performance.
  • Creating and testing machine learning models to implement into your R&D.
  • Business user consuming real-time dashboards.

Benefits of the workshop:

  • Big data management and preparing data for analytics.
  • Hard-skills experience with machine learning models based on Databricks cloud-optimized analytics platform.
  • Work in teams on solving specific technical problems.
Workshop Leader:

Frank Austin Nothaft
Genomics Data Engineer
Databricks, USA

Database technology is not new; distributed databases have been around for a decade, and relational databases have existed for even longer. Blockchains are another form of database, and while they share many elements with more traditional forms, it is the differences that make them truly innovative. By design, blockchains are intended to be shared, by individuals, organizations, even devices. In a digital world, where databases are the infrastructure, blockchains are common infrastructure — shared “plumbing” through which many data types can be stored, referenced, and transferred — and a mechanism by which that activity can be immutably recorded.
A blockchain platform improves data sharing at the most secure level. At the same time, blockchain is also an online entity which is blind to national laws for sharing health data across borders. Intellectual property issues, however, can be addressed by blockchain with a mechanism of controlled access to data for R&D.

Speakers

Pascal Bouquet
Global Head Technology, Architecture, Digital Drug Development
Novartis, Switzerland

Marco Cuomo
Global Lead EWS Service Operations & Engineering
Novartis, Switzerland

Natalie Pankova
Chief Scientific Officer
Project Shivom, UK

Axel Schumacher
Co-Founder & CEO
Project Shivom, Germany
 
Manuel Martin Marquez
Big Data Engineer and Data Scientist, CERN
Co-founder, Orvium, Switzerland

 

The next step for learning about blockchain is to understand how to budget, design, and implement a blockchain-powered platform into the R&D process. In this half-day workshop, we will investigate the components of blockchain structured as a secure database and network. After identifying the specific needs of an organization, we will explore the technological requirements and skillsets to choose and implement an appropriate blockchain platform. For example, what kind of nodes, security, and access mechanisms need to be in place? Finally, we will explore use cases of blockchain as a viable and secure choice for pharmaceutical companies.

Objectives of the workshop:

  • Dispelling the myths about blockchain vs. cryptocurrency.
  • Why do we need blockchain and why now?
  • Four components of blockchain: Cryptography, Public Keys, Peer-to-peer networks, Databases.
  • Bringing it all together: Distributed computing to enable trust in the 21st Century.
  • Are there areas within your organization ready to be transformed?
  • Requirement of blockchain within use cases (political, economic, socio-cultural, technological, legal, environmental analysis).
  • Implementation decisions for blockchain projects.
  • Making blockchain tangible: Use Cases
  • Humanitarian Aid: Transferring funds internationally in a secure and transparent environment 
  • Pharmaceutical: Supply Chain Tracking
  • Pharmaceutical: Clinical Trials
  • Pharmaceutical: Electronic Health Records

Benefits of the workshop:

  • Interactive workshop designed to learn a new skill.
  • Learn how to design, create, and implement blockchain projects.
  • Apply blockchain to health care data management.
Workshop Leader:

Ashley Kemball-Cook
Head of Business Development
Qadre, UK

Lucie Munier
Business and Legal Associate
Qadre, UK

This event will provide all delegates the chance to meet one another through our many networking opportunities. With pre-event, mid-morning and mid-afternoon breaks as a standard, this event will also feature a complimentary networking dinner for all participants.

This evening will allow you to meet with our expert speaker panel who represent many stakeholder groups in a less formal setting. Our networking lunches will also allow you plenty of time to meet with your peers and colleagues whilst you refuel through the event.

R&D: Chief Scientific Officers, Heads of R&D, R&D Innovation, R&D Strategy. Knowledge & Data Management (Discovery, Clinical & Real-World Data), R&D Analytics, OMICs R&D

IT & DATA: Chief Information Officers, Chief Technology Officers, R&D IT, informatics, data science, data analysts, bioinformatics.

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This event is accredited for CPD (Continuing Professional Development) status

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