Modernising Lab Workflows in Biosciences
Pharmaceutical and biotechnology leaders face a technological imperative to modernise their laboratories
The industry seeks to transform traditional hubs of manual labour and siloed processes into digitised ecosystems, creating efficiencies against a backdrop of tightening R&D budgets and increasing pressure for faster, more personalised therapies.
From AI-powered data analytics and robotic automation to cloud platforms and digital twins, the technologies shaping tomorrow’s labs are already in play today. Such innovations are enabling scientists to offload routine tasks, uncover hidden insights in complex datasets, and design experiments with unprecedented precision and speed. Yet these opportunities are not without their challenges: high capital requirements, data interoperability issues, and the imperative to upskill teams for a hybrid human-machine research environment, are all barriers to implementation.
How can laboratories strategically leverage AI and robotics to dramatically shorten discovery timelines? What steps must organisations take to seamlessly integrate next-generation technologies with legacy systems? And which targeted investments will yield quantifiable ROI and sustained competitive differentiation?
Timed to take place during the week of the BIO International Convention, this Financial Times briefing, in partnership with Avantor, will examine the technologies building agile laboratory operations capable of delivering groundbreaking discoveries at unprecedented speed and scale. Attendees will gain insights into making smarter, faster investments in their lab ecosystems and position their organisations for sustained scientific and commercial impact.
IN-PERSON PASS
Gain access to in-person sessions, meet speakers and network with your peers. Breakfast and refreshments included.
Key Discussion Points
Artificial Intelligence
How are AI and machine learning (ML) being embedded into early-stage drug discovery, experiment design, and real-time data interpretation?
Frameworks
What standards and frameworks are enabling truly connected lab ecosystems?
Automation
What’s the right level of automation for different research environments, and how can it boost throughput without displacing human expertise?
Machine Learning
How can AI and machine learning be leveraged to instill trust in supply chain resilience and the accessibility of necessary materials?
Virtual Experimentation
What role will virtual lab environments and remote experimentation play in the future of R&D? Can cloud-based experimentation democratise access to cutting-edge capabilities?
Looking Ahead
In a few years time, what will the lab of the future look like?
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