In this Commentary article, we explore how the current boom in AI is enabling researchers to take bold new steps in data analysis, with the potential for its utilisation in coordinating new healthcare responses. Trusted research environments have increased the feasibility of using translational research to help tackle new and approaching problems in healthcare.

The potential applications of deep learning tools in preliminary studies have developed along with their complexity in the past few years. Now, they could be used to help to refine a study or programme before it takes place in order to optimise its efficiency.

Presented by experts from NanoString, Weill Cornell Medicine, St. Louis University School of Medicine, University of Queensland, Wake Forest University of Medicine & Brigham and Womens Hospital

On-demand seminar. Learn more about the Ionic system and a real-world case study on how the Ionic is being utilized at a leading cancer centre.

This Commentary article explores the potential applications which arise from combining multiple modalities of information to augment the spatial resolution of data.

In this Commentary article, we explore the opportunity afforded by Sparsely Connected Autoencoders to transform data in a controlled way to enable the comprehension of hidden biological information in single-cell data. Autoencoders provide researchers with a simplified means of inspecting functional relationships among regulatory elements as transcription factors.

This Insight article explores some of the key applications of mass spectrometry imaging across the medical and pharmaceutical landscape. With the field seeing constant rapid development, mass spectrometry is an essential tool for current and future research in healthcare.

This Discussion Group Report investigates some of the various applications of single cell analysis, and explores the differences in its utility relative to other analysis techniques such as spatial transcriptomics.

Miao-Ping Chien, Principal Investigator at Erasmus University Medical Center and Oncode Institute, explains what the Berlin meet has to offer and outlines her predictions for the future of spatial technology.

Long Read DNA Sequencing has the potential to help diagnose several diseases and disorders. Recent advancements mean that long-read sequencing is no longer an expensive, low throughput, error-prone process.

In this Insight article, we explore some of the challenges and new innovations concerning spatial analysis of the tumour microenvironment. One of the key focuses for ongoing studies is the retention of spatial information, which enables researchers to identify distinct tumour subtypes.