Spatial Biology on March 18-19, 2024 in Loddon, United Kingdom

Spatial Biology on March 18-19, 2024 in Loddon, United Kingdom

Don't miss Spatial Biology 2024! Join industry leaders, experts, and researchers for a 2-day event exploring the latest innovations in spatial research and technologies. Connect with global academic and research organisations, as well as pharma representatives, for high-level discussions on topics ranging from the application of spatial technologies in biology to spatial data analysis, spatial research in pharma R&D, and digital pathology for spatial biology. Mark your calendar to be part of this dynamic gathering!

View the detailed 2-day programme here: Spatial Biology 2024 Agenda

 

Day 1 Track 1: Spatial Multi Omics Techniques & Approaches

  • Translating spatial imaging techniques & approaches into clinics
  • Transcriptomics, metabolomics & proteomics: techniques & approaches
  • Single-cell transcriptome imaging
  • Multi-modality processing

Day 1 Track 2: Image Segmentation, AI-Powered Imaging & Digital Pathology for Spatial Biology

  • Accelerating the discovery of novel biomarkers and drug targets using spatial imaging
  • Tissue imaging and analysis using advanced spatial profiling techniques
  • AI guided technology for spatial analysis
  • Workshop: Digital Innovations In Spatial Proteome Analysis
  • Imaging data analysis / how to set a spatial experiment
  • Relevant spatial parameters in different model systems

 

Day 1 Track 3: Spatial Biology in Pharma & Translational Drug Research

  • Accelerating drug discovery & development processes with advanced spatial tools
  • Precision medicine
  • Biomarker identification
  • Adoption of translational drug research:
  • Spatial multiplexed imaging for disease characterization
  • Adoption and utilization of AI/ML for spatial analyses in pharma
  • R&D
  • Spatial technologies for diagnostics purposes and clinical development

Day 2 Track 1: Spatial Bioinformatics, Data Analytics and Interpretation

  • Utilizing spatial data in biology
  • Cell-cell interactions
  • Overcoming the challenges in spatial data analysis
  • Data integration & visualisation
  • Spatial transcriptomic datasets
  • Data access & standardization
  • How do you translate AI/ML approaches into the clinical trials
  • Data handling / generating insights

Day 2 Track 2: Applications of Spatial Research & Technologies in Biology

  • Case studies from the areas of:

   » Cardiovascular diseases
   » Regenerative medicine
   » Oncology
   » Neurobiology & neurodegenerative diseases
   » Infectious diseases
   » Immunological diseases

Name: Oxford Global
Website: https://oxfordglobal.com/

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