On-Demand Webinar with Aditya Pratapa, Senior Data Scientist & Amélie Viratham at Akoya Biosciences

Advancements in mass spectrometry and single-molecule sequencing should accelerate protein analysis, assisting in approaches for cancer research and accessible single-cell measurements. 

Here, we speak to Fan Zhang, Assistant Professor at the University of Colorado, about the applications of computational biology in studying disease behaviour.

Unlocking the potential for FFPE samples in advancing single-cell sequencing for tumour microenvironment research.

Machine learning methods can be hugely important in aiding the interpretation and integration of data generated through single-cell omics analysis, assisting in disease detection and modelling.

A new AI model – scGPT – improves single cell RNA sequencing by predicting gene expression in individual cells, although it may be some time before it enters general use.

On-Demand Webinar featuring Didem Arikaya, Sr. Product Manager, Software at 10x Genomics

What are the current opportunities and challenges facing single-cell analysis today? We ask key opinion leaders from Janssen Pharmaceuticals, SciLifeLab, and the Karolinska Institutet.

Single-cell metabolomics is a rapidly growing area of study within the field of molecular imaging. By applying metabolomic imaging techniques at a single-cell resolution, it can be used to investigate cellular progression in diseases such as NASH and liver cirrhosis.