Life Sciences
Large Language Models+ For Scientific Research Updated August 2023 LLMs and Tools for R&D To help scientists and researchers navigate the increasing number of advanced artificial intelligence (AI) options, Enthought’s experts put together this summary of Large Language Models (LLMs) and related tools that are most relevant for R&D updated as of early August 2023.…
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View Webinar-on-Demand Live webinar held on June 27, 2023 Overview ChatGPT and the explosion of advanced Large Language Models (LLMs) are disrupting every industry. We are now living in a new age of AI with an unprecedented pace of advancement. This paradigm shift is forcing all businesses, including innovation-driven companies in the life sciences and…
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Transforming High Throughput Screening Data into Actionable Insights with Data Modeling and Visualization A mid-size small molecule cancer therapeutics biotechnology company using a custom high throughput screening (HTS) platform sought to target previously undruggable oncology targets. Their core group of researchers are incredibly motivated and enthusiastically pursuing best in class cancer treatments. They came to…
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The Lab of the Future: Barriers to Digital Transformation in the Life Sciences Industry Experts predict over the next two years, life sciences companies will invest over $3 billion in AI, with two-thirds adopting the “intelligent lab of the future” within four years. Taking a digital-first approach has become a strategic imperative in the pharmaceutical…
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5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab Despite an increase in digital transformation efforts across all industries, 70% fall short of their objectives. For science-driven organizations whose core innovation center is the R&D lab, success can be even more out of reach. To build the digital lab of the future,…
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Optimized Workflows: Towards Reproducible, Extensible and Scalable Bioinformatics Pipelines A bioinformatics pipeline is an analysis workflow that takes input data files in unprocessed raw form through a series of transformations to produce output data in a human-interpretable form. A bioinformatics pipeline evolves through five phases. Pipeline bioinformaticians first seek to collect and explore the essential…
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Is your R&D lab digitally mature? Do you use data and code to create value at every step of your R&D program? This webinar will help you take the first step towards achieving both of these things, and explains the value of doing so. This webinar discusses the difficulties faced by R&D labs, and provides…
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For digital leaders who will share a practical framework for digital transformation options, and how to avoid common pitfalls. Gain insights into: Making key strategic choices about digital transformation and avoiding common pitfalls. Crafting transformation strategy, framed through a comparison between Amazon and Barnes & Noble. Identifying and leveraging the possibilities enabled by today’s rapidly advancing technologies. Driving applied…
Read MoreWhat: Presentation and Q&A with Dr. Michael Connell, VP, Organizational Transformation, Enthought Who Should Watch: Anyone who wants to develop proficiency in Python for scientific, engineering, analytic, quantitative, or data science applications, including team leaders considering Python training for a group, learning and development coordinators supporting technical teams, or individuals who want to develop their Python…
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What: An introduction to the possibilities provided by automation in business and scientific workflows Who Should Watch: Scientists, engineers, and group leaders who have repetitive scientific tasks they would like to automate and digital transformation advisors and managers driving organizational change You Will Learn: The webinar will provide a short introduction to digital transformation for…
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