: Single Cell Analysis

Single Cell Analysis

21 - 22 March 2024 | Boston, USA
9th Annual
Single Cell & Spatial Analysis US Congress21 - 22 March 2024 | Boston, USA

This prestigious congress brings together key opinion leaders to discuss the latest breakthroughs in single-cell & spatial analysis including: from emerging tools & tech in single cell analysis through to novel spatial technologies, case studies from various application areas and addressing the challenges of spatial & single cell data analysis.  

The NextGen Omics US 2024 event includes...

Over 450 end users representing internationally renowned research & academic institutions, clinical research institutions, healthcare organisations as well as leading pharmaceutical and biotech companies

3 outstanding programmes bringing together key genomics experts in Next Generation Sequencing, Single Cell & Spatial Analysis & Synthetic Biology 

Over 80 cutting-edge presentations pertaining to the most debated areas in multi omics

Maximise your experience with our fully featured Event App, with selected presentations available to watch on-demand and extensive networking features

This Year's Agenda at a Glance

Spatial Analysis Tracks

  • Utilizing, combining, and integrating spatial technologies in omics
       » Genomics
       »  Transcriptomics
       »  Proteomics
  • Which technologies will move to the clinic?
  • Standardization, benchmarking, and references across technologies
  • Case studies from various areas:
       » Neurobiology
       » Oncology
       » Cardiology
       » Infectious disease
  • Spatial data analysis & integration
  • Using digital pathology for spatial imaging & diagnostics

Single Cell Tracks

  • Novel technologies for imaging and profiling
  • Sample management:
       » Ensuring quality
       » FFPE v fresh
  • Computational tools for single cell analysis:
       » Deep learning
       » AI & ML
  • Atlas building & data integration
  • Single cell multi omics – case studies
  • Single cell analysis in drug discovery & development
  • Genomic markers in clinical diagnostics
  • Mapping the human cell atlas
  • Scalable single cell analysis pipelines
  • Spatial single cell patterns