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Development Sciences is undertaking a business transformation, implementing our vision of a digitally integrated organization that leverages data as an asset. We are actively applying advancements in digital technologies to everyday work processes. This session will explore how the transformation program is structured, operating methodology & dive into the impacts of Digital Transformation in the lab. Using example case studies from the CMC & Biological Sciences functions we will share contrasting insights into the challenges, success stories and lessons learnt along the way.
Like the term “workflow”, the scope of any “Lab of the Future” will vary widely across organizations. We expect specialized talent, technology, and “workflows” are unique for any project. This brief presentation will focus on the common challenges and generalized infrastructure tools and tactics to be successful in the “Lab of YOUR Future” project on your horizon. Having the correct infrastructure to build and operate your lab will make the difference between a (very) expensive lab used to generate your social media buzz or a functioning lab which has resulted in scaling your output of medicines.
• Leveraging the power of AI in a next generation lab informatics platform
• An AI digital assistant to create experiment content and perform advanced scientific search
• Powering adoption and productivity with AI support assistants and code generation
• Unifying and contextualizing research data to build & apply AI/ML models
Automated synthesis, traditionally limited to broad reaction conditions yielding combinatorial compounds, requires tailoring specific conditions to individual reactants to produce diverse and discrete small molecules, akin to a chemist’s benchwork approach.
Tailored reaction conditions lead to increased confidence in reaction success, higher yields, and the incorporation of more complex building blocks in the synthesis process.
In this work, we outline our approach to reaction development, defining substrate scope and automating reaction processes for a chemistry platform, thereby enabling the synthesis of lead-like small molecules with higher recoveries and achieving broader chemical space coverage through automated multistep synthesis
Choosing a path forward involves balancing a set of different challenges. This brief talk will discuss those challenges and how we at AbbVie have been approaching them for the past 5+ years in the field of AI research and development.
– Do you shoot for the moon by investing in novel molecule generators for drug discovery?
– Do you try and bring everyone together in a “kum ba yah” way to find the path forward? – How do you navigate the murky gray waters between opportunity and obligation – reputation and regulation?
– How do you latch on to the seemingly limitless energy that powers innovation?
Christolaou Nicolaou, Senior Scientific Director, Digital Small Molecule Lead, Novo Nordisk
Building an end-to-end data ecosystem to go from data to insights is not trivial. Breaking data silos through seamless data integration, interoperability and provenance is the precursor to driving any successful data initiatives in BioPharma. In this session Dr Abhishek Jha will talk about how Elucidata’s data harmonization engine, Polly is making life-sciences data AI-ready through large scale multi-modal and multi-source data harmonization, high quality data and our differentiated ML-ops services.
Mohit will speak on Moderna’s Lab of the Future initiative featuring robotics, automation, and integrating these technologies into existing lab processes.
Our data science team led a initiative to transform chromatography data management in laboratory operations, embracing a data-driven approach. This innovation has unlocked the full potential of chromatography data for improved pharmaceutical research and development. Our strategies encompass robust data collection, integration, advanced analytics, predictive modeling, and fostering collaboration. Moreover, we recognize the significance of managing cultural change in the adoption of new tools to successfully navigate the digital transformation journey. As a result, our organization has achieved enhanced efficiency, improved quality, proactive decision-making, and accelerated innovation. This presentation will share our experiences and adopted approaches, inspiring others to embark on their own digital transformation journeys.
– Conception: What goal are we trying to achieve with our software and hardware?
– Conception: What automation and software do we need to purchase to enable our new workflows?
– Implementation: How we connected our new automation and existing software and the pro’s/con’s of how we did it
– Conclusion: What we ultimately achieved and what we would do differently next time
1. User-experience in tracking and recognition of multi-player analytical workflows
2. Objective measures of turnover times, project-relevant challenges, and workflow bottlenecks
Challenges and barriers that can hinder organizations innovation and growth potential.
The role of a LIMS in supporting the laboratory’s digital transformation journey.
Examples and best practices of how digital transformation can enable organizations not only to achieve greater efficiency and productivity but make an impact in their fields.
Live Lab sessions are interactive group discussions which tackle the bigger questions of the day in an open forum to brainstorm ideas and discuss the roadblocks to break-through innovation. They take the format of moderated standing discussions. The objective is to share views and experiences to stimulate new ways of thinking about common objectives. They are moderated and scheduled for 45 minutes
How do we support the new science?
Live Lab sessions are interactive group discussions which tackle the bigger questions of the day in an open forum to brainstorm ideas and discuss the roadblocks to break-through innovation. They take the format of moderated standing discussions. The objective is to share views and experiences to stimulate new ways of thinking about common objectives. They are moderated and scheduled for 45 minutes
Lab of the Future – why aren’t we there yet?
Live Lab sessions are interactive group discussions which tackle the bigger questions of the day in an open forum to brainstorm ideas and discuss the roadblocks to break-through innovation. They take the format of moderated standing discussions. The objective is to share views and experiences to stimulate new ways of thinking about common objectives.
In the rapidly evolving landscape of scientific research, laboratories are embracing digitalization to enhance workflows, drive automation, and leverage data as a valuable asset with the support of artificial intelligence.
In this keynote presentation, we will delve into the key principles and blueprints that underpin successful digitalization efforts, including data integration and harmonization, process automation, interoperability, and the utilization of artificial intelligence. Furthermore, we will showcase real-world examples that demonstrate the value and impact of digitalization on the journey towards the digital lab.
SaaS platforms are popular, especially with IT departments. Is it really a dream come true win-win for everyone? We’ll discuss some of the tradeoffs that you might be seeing when applications move to the cloud.
The Lab of the Future Program at Sanofi
Christopher will present lessons learned from Laboratory Raw Data Movement from wet labs to cloud storage and the challenges associated with acquiring, transferring, accessing, and visualizing data in a startup environment.
So, you moved some data to the Cloud, what’s next? Getting your data to the cloud is a step in a digital transformation project. We’ll discuss how to avoid pitfalls and ensure that your project unlocks value for your organization.
As one of the founding board members of Allotrope Foundation, Joseph will highlight the power of the framework, especially Allotrope Simple Models (ASM)
1. Evolution of Allotrope Foundation
2. Components of the Framework and how they enable frictionless data sharing (and AI/ML!)
3. Examples
The next evolutionary step in procurement. How do we evolve from a reactive procurement organization to a proactive problem solving function?
To move towards a proactive and customer centric organization, we added new capabilities to understand stakeholder challenges and tackle them by bringing external innovation
*Findable, Accessible, Interoperable, Reusable and Reproducible
Overview of our digital CMC vision and Quality be Digital Design Framework for medicines development and manufacturing
Predictive toolbox development for crystallisation (CCS) and drug product (MCS+)
Building the data fabric to support product and process development
Data factories and automated workflows to accelerate development
Challenges & opportunities for industrial digital technologies in CMC
Cindy will discuss how Avidity launched their digital journey and gained leadership and user acceptance. She will also highlight the challenges and successes along the way, as well as the next steps and lessons learnt.
• Evolving Computational methods for multiplex viral targeting with CRISPR
• Improved bioinformatics elucidates highly conserved targets with low similarly to the human genome
• Effective screening identifies highly active pairs of target sites driving excision of virus
• Advanced model systems allows testing to improve efficacy and verify specificity
Histology and cellular imaging data play a crucial role in advancing the diagnosis and understanding of complex disease traits. Establishing a comprehensive data strategy for these datasets is essential to ensure research teams can efficiently access, analyze, and utilize them. This presentation will emphasize the significance of developing a data strategy for histology and cellular imaging data, including the best practices for data collection, storage, sharing, and analysis, and how Novo Nordisk is implementing them. Additionally, the presentation will explore the challenges and opportunities involved in developing a data strategy in this field, such as data standardization, privacy concerns, and emerging technologies.
