Artificial Intelligence and Machine Learning – Webinars and Online Events

Sean Tucker, Director of Laboratory Services at North Kansas City Hospital, was the featured speaker at an insightful AMA on modern lab challenges. Explore his expert perspectives on integrating AI and managing a new-generation workforce.

This online event is aimed at those working within academia and pharmaceutical drug development, who want to hear from experts across their field. Focus will be given to the latest advances in small molecule drug discovery and development.

From selecting instrumentation, building a team, managing day to day operations and helping to shape the future of the organization you work for, running a lab presents many challenges. Leadership experts will provide practical tips and guidance for current and aspiring lab managers working in industry and academia.

This immersive webinar offers an exclusive glimpse into the groundbreaking technologies shaping the laboratories of tomorrow. Delve into the dynamic fusion of cutting-edge technology and scientific exploration as our visionary experts unveil revolutionary laboratory setups.

New for 2024, our expert speaker will engage with the audience in real-time, addressing questions on various aspects of microplastics science and research .

Battery research has rapidly grown in both scale and importance over the past decade. Join our roster of expert speakers who will be covering the latest research into optimizing existing energy storage solutions, developing novel technologies and deploying them in the real-world to meet our present and future energy demands.

Advances in automation, digitization and data modeling are changing how labs are built and run from the ground up. Hear about the technologies helping to drive digital transformation and laboratory efficiencies.

Using the example of tumor-associated macrophages (TAMs), this webinar takes a closer look at immune cells in the tumor microenvironment (TME), helping us to gain a better understanding of how specific subtypes and their reprogramming may influence therapy efficiency.

In this webinar, Dr. Luciane Kagohara from Johns Hopkins Medicine will discuss a novel artificial intelligence method integrating imaging, spatial transcriptomics and single-cell RNA-seq data that has been used to characterize the cell state transitions in pancreatic cancer progression.

Multiple solutions have been devised to increase multiplexing in qPCR, including single-well techniques, using target-specific fluorescent oligonucleotide probes, and spatial multiplexing, where
segregation of the sample enables parallel amplification of multiple targets.

There is a need for innovations that will push forward the multiplexing field in qPCR, enabling for the next generation of diagnostic tools which could accommodate high throughput in an affordable manner. To this end, the use of machine learning algorithms has recently emerged to leverage information contained in amplification and melting curves– two of the most standard biosignals emitted during qPCR – for accurate classification of multiple nucleic acid targets in a single reaction.

Thermo Fisher Scientific are not affiliated with the webinar speaker. Any application of machine learning technologies with the Diomni™ software package, related assay definition files (ADFs) and related qPCR instruments are for research use only.