The SLAS Lab of the Future centers around the integration of upcoming technologies into the laboratory, particularly those that increase automation of workflows as well as connectivity within and between labs. The SLAS Lab of the Future will also have a strong focus on the integration of the human element in the Lab of the Future, interrogating not only what the role of the human operator in the Lab of the Future will be, but also how do we ensure that the Lab of the Future makes things easier for the human operator and does not simply increase pressure on productivity and burnout.
Our Lab of the Future series on the New Matter podcast features interviews with leading experts in the fields of automation and data science, with conversations focusing on what the Lab of the Future means, where are vs where we should be heading, and what are today’s technology providers doing to prepare for the technology needs of tomorrow.
Our guests for this momentous episode are Rishi Mahajan, M.S., lead R&D engineer at Regeneron, and Mike Tarselli, Ph.D., chief scientific & knowledge officer at TetraScience. Listen as they exchange their viewpoints on the current state of the concept and share their predictions and prospective outlook for the Lab of the Future.
We're joined by Maaike Bras, scientist assay development (Pivot Park Screening Centre), for a detailed discussion on the applications of mass spectrometry methods in high-throughput screening.
Our guest is Olga Seltser, M.E., senior director of automation at Laronde & Harbinger Health, an experienced automation engineer with a demonstrated history of working in the biotechnology industry. Olga shares her perspective on the opportunities to advance laboratory automation to make progress toward the lab of the future.
We welcome Limmi CEO and Co-Founder Trevor Vieweg, M.S., to the podcast to discuss how artificial intelligence (AI) and machine learning (ML) are integrated into life sciences labs. Vieweg shares his perspective on the lab of the future and Limmi's approach to integrating AI and ML, and how AI/ML can revolutionize the life sciences industry.
This discussion features CBRE ILS Global Training Director Adam Prosho, and Head, XRS, Extended Reality Solutions Miquel Vidal, who talk about CBRE's Extended Reality Solutions. Prosho and Vidal delve into how CBRE is utilizing its Extended Reality Solutions to provide tech support and equipment servicing for a wide range of laboratory equipment. They also discuss how using augmented reality in this process improves service quality and reduces downtime.
This workshop offers a gentle introduction to the field of AI. The course will cover the three main branches of AI and machine learning: supervised, unsupervised, and reinforcement learning. Each topic will include a case study to illustrate how AI is used to solve data-intensive problems.
The Lab of the Future short course is designed to provide the framework, skills and knowledge to assist participating organizations in the design and implementation of automated laboratory workflows that are tightly integrated with modern AI machine learning strategies.
Under the guidance of a skilled instructor, participants will learn topics ranging from analyzing laboratory layouts to selecting optimal machine learning strategies to achieve their goals.
This two-day symposium will allow participants to explore how AI data pipelines are integrated into the life sciences. Attendees will learn about MLOPS, applications, techniques, and architectures of data and their uses in the life sciences.
Learn more about the various AI tools available today as well as discuss future drug discovery collaborations involving the cutting-edge advances in AI, machine learning and computational science.
Join the SLAS Scientific Director, and the AI in Process Automation Symposium Program Committee members as they talk with Dr. Ngiam Kee Yuan, the Group Chief Technology Officer of the National University Health System (NUHS) Singapore, about his group's efforts to use data to develop virtual models that allow earlier prediction of disease and use of natural-language data to drive medical conclusions.
The lab of the future will be connected. But do the advantages outweigh the risks of connectivity? Connectivity presents advantages like seeing instrument status anywhere, anytime and also comparing usage and performance data from multiple sites. Connecting labs promises to help improve operational efficiency reducing costs and increase return on investment. But the challenges are not to be underestimated. In this talk, we will see how Tecan is building the lab of the future and discuss our strategies to manage the challenges and risks involved.
For materials discovery, one needs to go beyond simple computational screening approaches followed by traditional experimentation. I have worked on the design and implementation of what I call “materials acceleration platforms” (MAPs), which are enabled by the confluence of three disparate fields, namely artificial intelligence (AI), high-throughput quantum chemistry (HTQC), and robotics. I will describe our efforts under the Mission Innovation umbrella platform around this topic.
SLAS Technology – Towards robotic laboratory automation Plug & play: Survey and concept proposal on teaching-free robot integration with the lapp digital twin
SLAS Technology – AI-driven laboratory workflows enable operation in the age of social distancing
SLAS Technology – Towards an automated approach for smart sterility test examination
SLAS conference exhibitors that demonstrate forward-thinking solutions and advancements in hardware integration and data processing are given the Lab of the Future designation at this conference. The badge serves recognize the progress the company has made toward solving these challenging and very complex issues, as well as highlighting those companies that are providing solutions to these challenges as labs continue to evolve over the next several years.
Past Badge Recipients:
