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Sponsors
Presentations
Designing, Automating, and Unleashing the Potential of Private Cloud Labs
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Discover how Strateos' LodeStar software platform empowers scientists to orchestrate and automate life sciences at the crossroads of hardware and the myriad virtual software systems like LIMS, ELN and LES. Explore real-world use cases, examples, and a live demo to see how Strateos drives the design, development, and deployment of some of the world’s most cutting-edge labs​
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Enhancing Lab Efficiency: AI-Driven Automation and Data Collection​​
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Join Steve McCoy, LabVoice, for an insightful webinar on harnessing the power of AI to automate laboratory activities in pharma and biotech. LabVoice, a leader in AI for lab automation, has been at the forefront of implementing novel technologies, including many AI tools, to drive productivity and efficiency in the lab, vivarium, greenhouse, and anywhere science is carried out. During this webinar, you’ll discover how AI-driven digital assistants can revolutionize lab orchestration, streamline human-mediated processes, and accelerate digitalization efforts. Steve will explore how LabVoice’s innovative solutions enable precise data capture, improve process efficiency, and ensure compliance with regulatory standards. Gain insights into practical strategies for optimizing workflows, reducing errors, and enhancing overall productivity through AI-powered automation. This webinar offers actionable insights to drive technological advancements and elevate your organization’s research capabilities.​
Unified R&D Platforms: Transforming Drug Discovery with Scalable Instrument Integration​​
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How does a potential hit compound evolve into a lead and then a potential drug candidate? In the pursuit of the one potential successful candidate, many are made and tested through the discovery, clinical, and regulatory approval stages. The development of a novel drug candidate requires engagement of various scientific expertise domains including chemistry, biology, bioinformatics, pharmacology, and ADME/PK. Often, these domain experts work in disparate locations, companies, and with differing instrumentation.
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This presentation will highlight how using a unified, cloud-native SaaS R&D platform in conjunction with Signals DLX powered by Scitara can streamline complex workflows while seamlessly integrating instrument data into the Signals Research Suite through scalable automations. By leveraging this solution, researchers can focus more on science and less on managing disparate systems, accelerating the entire Make-Test-Decide R&D life cycle.
Elevate Your Workflow: The Power of HTE Design, Data Analysis, Data Storage, and AI Learning in an Integrated Platform​
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The software and informatics landscape for HTE laboratories is usually anything but streamlined. Multiple disconnected applications, spreadsheets, and home-grown solutions represent how most laboratories work today. But is there a better way?
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Join Mark Spears, a Senior Scientist at Virscidian (a Dotmatics company), and Michael Swartz, Dotmatics Chief Strategy Officer, to discover how Dotmatics and Virscidian create a powerful combination for HTE and other automated drug discovery workflows.
From Wet Lab to Data Factory: Building a Scalable Data Engine​
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Despite advancements, the scientific industry still faces major challenges in generating the seamless data required for true automation. Automata envisions a future where every automation platform bridges this gap by integrating seamlessly into connected lab ecosystems. Automata's LINQ, built on modular, open architecture, is designed to scale data generation efficiently. This transformation enables wet labs to function as powerful data engines within cloud-native environments.
In this talk, we will showcase real-world examples of how lab-in-the-loop systems, supported by Automata's LINQ platform, are driving scientific innovation.
Towards Self-Driving Labs with Closed-Loop Automation for Cell Biology​
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Advances in biology, automation, and machine learning are transforming the way biological research is conducted, enabling laboratories to achieve higher efficiency and precision. In this talk, we will explore the concept of self-driving labs—automated experimental systems capable of continuously iterating on hypotheses, running experiments, and analyzing data with minimal human intervention.
A key benefit of this approach is its potential to significantly increase the number of experiments that can be performed, allowing biotech companies to screen more candidates faster and eliminate less promising options earlier in the discovery process. This ability to fail fast and refine selections in real-time can drastically reduce costs and accelerate timelines in drug discovery and cell biology research.
We will touch on some examples, including the development of disease models using automated systems while keeping the human-in-the-loop, as well as a fully closed-loop experiment for optimizing parameters for staining. These case studies will illustrate how automation and machine learning can not only accelerate experimental workflows but also enhance precision and reproducibility.
By integrating automation with AI-driven insights, these systems reduce human error, save time, and empower biotech companies to innovate faster. This presentation will explore the opportunities and challenges in creating self-driving labs that push the boundaries of cell biology research.
Advances in Digital Solutions for "Modular HTE"​
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As the applications of HTE expand, the need for adaptability and modularity increases. This presentation will describe critical digital capabilities HTE practitioners should carefully consider when implementing a cross-functional HTE platform.
High-Throughput Experimentation Empowering Organic Synthesis : the Academic Point of View​
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Speakers
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