Hop onto SLAS APPLIED to access a wide variety of Lab of the Future-focused online learning opportunities. Courses and Past Live Event Recordings can be purchased for a nominal fee (and at a discount for SLAS Premier Members) while all Webinars are free.
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 SLAS 2019 Advanced 3D Human Models and High-Content Analysis Symposium course package contains 16 presentations on Enabling Technologies, Lightning Session: Lost in Translation, High Throughput 3D Cellular Models, Advances in Imaging and Analysis and Complex Translational Models.
The SLAS 2019 AI in Process Automation Symposium course package contains 18 presentations on AI in Drug Discovery Today, Data Automation, AI in Screening and AI in Chemistry.
The SLAS 2019 Americas Sample Management Symposium course package contains 13 presentations on Enabling Drug Discovery: Target Validation to PreClinical, Enabling New Medicines, Innovative Technology and Process Optimization, The Common Threads Across All Sample Types and Challenges of Sample Management Quality and Compliance.
The SLAS Europe 2019 Conference and Exhibition course package contains 29 presentations, including 26 presentations from three scientific tracks: Discovery, Emerging Biology and Technology.
Session PDF Presentations from the SLAS 2019 European Sample Management Symposium March 11-12, 2019 Berlin, Germany.
The SLAS2019 course package contains 81 presentations including 76 presentations from ten scientific tracks.
The SLAS2020 course package contains 118 presentations including 95 presentations from ten scientific tracks.
The SLAS Europe 2019 Conference and Exhibition course package contains 29 presentations, including 26 presentations from three scientific tracks: Discovery, Emerging Biology and Technology
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.
The SLAS 2021 Americas Sample Management Symposium welcomes all compound and sample management professionals – both in the lab and in leadership – to obtain fresh perspectives and share innovative solutions to challenges in these domains.
Sample management has become increasingly important in every phase of chemical and biological discovery. Control over factors like sample quality, process efficiency, metadata and miniaturization must be achieved to accelerate both academic and industrial programmes. Further complexity arises in maintaining these factors when collaborating with an external research partner. The SLAS 2021 European Sample Management Symposium welcomes all compound and sample management professionals – from bench scientists to senior leaders – to obtain fresh perspectives and share innovative solutions to challenges in these domains.
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.
Sessions recorded at SLAS2022 International Conference & Exhibition February 5-9, 2022 Boston, MA, USA.
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.
Join Once Nucleus and SLAS to turn your lab automation plans into action. This three part series includes: Setting Goals That Deliver; Creating Effective Workflows, Teams and Tools; and Swimming in Data: How to Generate Useful Returns.
