Speaker: Claus Lundegaard, Director – Bioinformatics, ZS Associates

Claus will share his perspective on the R&D digital landscape in the Nordics, and specifically, the promising advances IoT has made in value-creation for biopharma in this region. He will also share a case study on multi-omics success in immune related diseases.

Speaker: Saji Wickramasekara, Founder & CEO, Benchling

Gain valuable knowledge on how technology can improve efficiency, productivity, and research outcomes. Speakers will share the latest insights on the current and future state of the digital landscape in the Nordics, as well as the value of adopting innovative R&D technology in the biotech industry.

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9:35 - 9:55 

Advancing digital R&D: turning data into a competitive advantage

Speaker: Anders Viksø-Nielsen, Senior Director, Prototyping, Analytics and Data Management, R&D, Novozymes

Technology innovation and a digitally connected lab have been core to Novozymes’ industry leadership. Whether working with yeast, fungi, or bacteria, scientists at Novozymes need to capture a growing volume of complex strain data, share this in real time across teams, and ensure high-quality data and analysis.

In this session, Anders Viksø-Nielsen, Senior Director, Prototyping, Analytics and Data Management, R&D at Novozymes will share insights on the value the organisation is realising through a unified, scientifically aware platform to design sequences and strains, scale up development processes, and manage sample traceability. He will also highlight how Novozymes is starting to leverage AI and ML to accelerate research and discovery.

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10:00 - 10:20 

Lundbeck R&D digital highlights: streamlining processes and strengthening the business

Speaker: Freja A. K. Olsen, Solution Architect, Lundbeck 

Digitalizati on enables Lundbeck to build on its core competences by providing greater insights, streamlining processes, strengthening collaboration, and increasing productivity to name a few.

Join this session to learn about some of the digital initiatives Lundbeck is delivering to transform its business processes to ensure consistency in bringing new and high-quality products to the market.

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10:25 - 10:45 

Data literacy: a common language to navigate and take advantage of digitalization

Speaker: Marie Helene Andersson, R&D Principal Data Partner, LEO Pharma A/S

In recent years, technology advancements have helped us reimagine the way we do science - from big data to analytics to AI - we have the tools to unlock exciting new possibilities for disease targeting and more effective collaboration.  

However, a foundational data literacy strategy is critical to build human competencies to truly capitalize on these capabilities.

Join this session to learn about the data literacy program Marie Helene Andersson is leading at LEO Pharma. She will share the components of a data literacy framework, as well as first-hand anecdotes and learnings from the FAIR data literacy program at LEO Pharma and its impact.

Take away effective change management practices and proven tips and strategies for successful R&D digital transformation programs. You will learn how to effectively communicate and engage stakeholders, overcome resistance to change, and ensure a smooth transition to new digital processes and technologies.

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11:15 - 11:45

Fireside chat: Enabling change management for successful digital adoption

Moderator:

      • Chatu Jayadewa, Business Value Manager, Benchling

Panelists: 

      • Anders Viksø-Nielsen, Senior Director, Prototyping, Analytics and Data Management, R&D, Novozymes

      • Marie Helene Andersson, R&D Principal Data Partner, LEO Pharma A/S 

      • Pernille Hvid Larsen, Senior Consultant, Base Lifesciences

      • Philippe Pinton, Senior Vice President, Clinical And Translational Sciences, Global Head, Ferring Pharmaceuticals

Innovation at the interface of machine learning (ML) and artificial intelligence (AI) and high performance computing is powering breakthroughs in Biotech. However, this paradigm shift is reliant on a R&D company’s most valuable asset: its data.

There is industry-wide consensus that building a strong data foundation and an organisational culture that values FAIR data is critical to take advantage of ML/AI.

This session will explore how to effect systemic change across the R&D enterprise to enable successful digitalisation of R&D data.

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11:50 - 12:10

Delivering IT change management without jeopardizing information security

Speaker: Markus Kluge, Director Information Security, IT Risk & Compliance, Genmab A/S

Join this session to understand how to navigate system IT change management to drive business adoption and impact. You’ll hear the importance of engaging stakeholders across functions such as Quality Assurance, Communication and Compliance early, and the process flow required. You will also gain insights on how to assess risk, put in place well-structured change management processes and procedures, and measure success to drive successful IT change management.

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12:15 - 12:35 

Process transformation: the enabler of laboratory digitalisation 

Speaker: Beate Krüger, Director of Business Development Production & Lab, NNIT

Mapping current business processes against future state vision is critical when identifying and implementing a new technology solution for your digital lab, so you can measure impact and value of your investment. 

Join this session for first-hand insights on a customer project at a medium-sized biotech in Denmark, including early challenges faced by the project team around system functionality, and the increase in efficiency and engagement once a “business process first” approach was adopted.

Hear the latest advances in R&D technology, and how they are being used to drive innovation and improve scientific outcomes. You will learn the opportunities presented by these new technologies, and how to leverage them to stay at the forefront of scientific discovery.

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13:30 - 13:50 

Eggs without chickens: precision fermentation at scale

Speaker: Annakarin Kere, Research Project Manager, Onego Bio

Precision fermentation can unlock the performance, affordability, and viability requirements of a sustainable food system – but only with the right technology. Onego Bio uses a patented Trichoderma reesei technology to produce ovalbumin, the main protein in egg white.

Hear how Onego Bio has cracked the code to produce, at scale, bio-identical egg proteins that provide the same functionality and nutrition without the environmental, ethical, and safety-related concerns of eggs from chickens.

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 13:55 - 14:15 

AI powered discovery and research at Ferring

Speaker: Philippe Pinton, Senior Vice President, Clinical And Translational Sciences, Global Head, Ferring Pharmaceuticals

Join this session to gain first-hand insights into how Ferring is leveraging AI to accelerate and increase the success rate of drug development. Specifically, how AI can be used to upscale novelty and foster drug repositioning.

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14:20 - 14:40 

Accelerating new therapies from discovery to market with next-gen proteomics

Speaker: Simon Forsberg, Senior Data Scientist, Olink Proteomics

Find out how Olink is enabling the UK Biobank Pharma Proteomics Project, a collaboration between UK Biobank and 13 biopharma companies performing one of the world's largest scientific studies of blood protein biomarkers. Learn how Olink is managing and delivering high-end data and analysis of proteomics to drive a better understanding of disease biology and patient stratification to support innovative drug development.

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 14:45 - 15:05 

Accelerating biotech innovation in academia through digital transformation

Speaker: Suresh Sudarsan, Senior Program Manager, DTU - The Novo Nordisk Foundation Center for Biosustainability 

Modern advanced software programs have helped eliminate data capture and curation challenges of a decade ago. However, new obstacles have emerged in effectively generating intelligence from big data, especially in the “Learn” stage of a Design-Build-Test-Learn (DBTL) cycle in the development phase of biotechnological process. This knowledge generation for sequential DBTL iteration is extremely time consuming and results in major setbacks for accelerating biotech innovation.

This session will address the steps DTU-Biosustain has taken to successfully overcome the knowledge generation bottleneck, and why digital transformation in academia is vital for successful industrial implementation.

Learn about the latest tools and strategies to accelerate scientific discovery. Get first-hand perspectives on emerging technologies, innovative laboratory design, and best practices to optimize R&D workflows. Leave this session inspired on the possibilities of the lab of the future and how to apply these concepts within your own organization to accelerate scientific discovery.

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15:30 - 15:50  

Streamlining data flow to accelerate study management

Speakers: Kirsten Lex, Project Lead, a-tune & Andrew Smith, Solutions Excellence Manager Benchling

In the pursuit of efficiency and accelerating new drugs to market, modern research organisations are embracing technology to enable faster and better structured data capture, and streamline pre-clinical study activities across multiple systems. However, whilst powerful, data capture alone is only a small part of the puzzle.

Hear how a-tune partners with modern software providers like Benchling to streamline data flow to and from tick@lab to provide a single source of truth for animal life.

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15:55 - 16-15  

 to be announced

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16:20 - 16:40 

Speeding up science with better instrument data consistency and connectivity 

Speaker: Josi Livingston, Solutions Delivery Manager, Benchling

Every company conducting scientific research and development (R&D), large or small, faces the same set of challenges when integrating any lab instrument into a scientific process. Hear how Benchling is tackling these industry challenges with innovative, cloud-based solutions.

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16:45 - 16:05 

How to do AI without data

Speaker: Søren Bertelsen, Director of Process Optimisation, Novo Nordisk 

Recent achievements of large language models and generative AI are truly impressive and are already revolutionizing many aspects of laboratory work. But what about the cases in which we do not have the data needed to train a neural network? One such case could be: “what are the optimal assay-conditions for testing my new molecule?”

This session will focus on modern AI-based approaches to accelerate learning in the lab, and how to select the specific experiments that allow us to learn the most about our system as fast as possible - be that a novel chemical reaction, an enzymatic assay, or the recipe for a cake.