Artificial Intelligence and Machine Learning – Webinars and Online Events

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.

Attend this webinar to learn the principles of multiplexing in qPCR, understand the limitations of existing multiplexing solutions in qPCR, discover the applications of machine-learning to qPCR.

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, biopharma and biotechnology.

In this webinar, our expert speaker Dr. Phillip Kim from the University of Toronto will be discussing the ML methods he currently implements in his lab that enables de novo antibody design. He will also cover ML-based sequence design and scoring methods, as well as diffusion models.

Introducing midia-PASEF®, a groundbreaking DIA scan mode utilizing overlapping quadrupole windows for comprehensive ion analysis.

This exclusive AMA event grants you unprecedented access to the pioneering expert Prof. Michael Snyder a distinguished professor at Stanford University known for his ground-breaking work in digitalizing scientific research in the genomics and personalized medicine field.

In today’s world, laboratories are constantly pushed to be faster, more effective, more accurate, with less waste and cost. At the same time emerging technologies provide labs with an opportunity to change the way they work today making them more efficient and effective. Leveraging these technologies will determine the success of your lab to evolve into the lab of tomorrow.

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly entering the day-to-day operations of many organizations, and data efforts are in full force.

Organizations, across all scientific industries, are assessing their digital transformation journey to try and map out the key strategies to achieving a fully digitally enabled laboratory. The key to creating and implementing a digital strategy is determining where efficiencies can be made and where technologies can provide a competitive edge.