Organisations at the forefront of this filed will present case studies on spatial omics, spatial bioinformatics, emerging tools in single cell analysis and advances in the use of single cell analysis in drug discovery & development.
This Year's Event Includes...
Over 700 attendees representing internationally renowned academic institutions, research institutes and hospitals as well as global pharmaceutical organisations and leading biotech companies
Over 100 case studies, presentations, panel discussions focused on the key issues in spatial omics, bioinformatics and advances in single cell analysis tools and the utilisation of single cell analysis in drug discovery & development
Maximise your event experience with exclusive interactive programme features such as workshops, panel discussions and roundtables, tapping into the priorities & challenges of the wider single cell & spatial analysis market
Agenda at a Glance
Day One: Clinical Genomics Focused Sessions
- Advanced imaging techniques & approaches
- Innovative methods to detect biomarkers
- Case studies from:
- Cardiovascular
- Metabolic
- Neurological
- Respiratory
- Genetic & rare diseases
- CRISPR-based diagnostics approaches
- Vaccine development with omics approaches
- Using omics to characterise infectious agents
- Multi-omics in viral studies in pathology of infectious diseases
- Viral surveillance
- Data driven & omics-based approaches for identifying novel clinical indications
- Tools for analysing high-throughput sequencing data
- Bioinformatics & computational analysis tools for NGS data
- Spatial/single cell bioinformatics approaches
Part 1: Cancer
- CAR-T cell treatments
- Characterising immune cell subsets
- Cancer immunotherapy
Part 2: Metabolic & Cardiovascular Diseases (Non-Infectious Diseases)
- Optimising therapeutic design of cell & gene therapies
- Applying single-cell multi-omics to advanced therapy development
- Understanding mechanisms of action & treatment optimisation
- Multi-omics integration in microbiome studies
- Host-microbiome interactions
- AI/ML and sequencing technologies, single cell analysis
- What is a healthy microbiome?
- What can we do to intervene to modify the microbiome? Changing the composition of the microbiome
Day Two
- Utilizing, combining and integrating spatial technologies in omics:
» Spatial genomics, transcriptomics, proteomics, epigenomics, lipidomics, metabolomics
- Combining single & spatial techniques
- Digital pathology
- Platform comparisons and end-user perspectives
- Use of spatial tech in the human cell atlas initiative
- Addressing the barriers to develop robust spatial makers
Part 1 – In Genomics & Transcriptomics
- Novel technologies for single cell imaging
- Benchmarking single cell technologies
- Computational tools for single cell analysis
- Proteomics and computational approaches
- Updates from single cell multi-omics
- One pot assays
Part 2 – In Proteomics, Metabolomics & Lipidomics
Day Three
Part 1: AI & Digital Pathology-Guided Spatial Bioinformatics
- Spatial data analysis & integration and storage
- Spatial multi-omics analyses
- Machine learning approaches in spatial bioinformatics
- Multiplexed spatial phenotyping
- Multi-modal analysis
Part 2 – Case Studies from Various Therapeutic Areas
- Neurodegenerative
- Cardiovascular
- Metabolic
- Regenerative
- Benchmarking studies
- Spatial single cell patterns
- Scalable single cell analysis pipelines
- Dissecting population dynamics using single cell analyses
- Single cell analytic tools for drug discovery & development
- Immuno-informatics
- Leveraging single cell analysis & long read sequencing