An outstanding and comprehensive programme discussing key areas shaping next generation sequencing, drug development and personalised healthcare. Case studies include integration of NGS to clinical development to personalised therapies and innovative treatments.
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 key issues such as clinical genomics, multi omic data integration, NGS applications in the clinic for diagnostics development and advanced bioinformatics tools & technologies
Maximise your event experience with exclusive interactive programme features such as workshops, panel discussions and roundtables, tapping into the priorities & challenges of the wider sequencing & clinical genomics 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 and 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 sequences technologies, single-cell analysis
- What is a healthy microbiome?
- Changing the composition of microbiome – What can we do to intervene to modify the microbiome?
Day Two
- Clinical implementation of genomic medicine
- Delivering personalised cancer care
- Holistic approaches to diagnoses
- Whole genome sequencing
- Computational methods for human genetic diversity
- Whole genome sequencing using long & short read sequencing
- Long and short read sequencing in the clinic
- Newborn screening
- Applications of multi-omics data for personalised medicine
- Large-scale multi omics data analysis
- Case studies from omics: proteomics, genomics, transcriptomics, epigenomics
- ML-driven target identification
- Integrating multiple datasets
- AI/ML toolkits for multi omics datasets
- Novel methods, approaches, and platforms for data integration
Day Three
- Novel NGS analysis techniques in the clinic
- Using transcriptomics for diagnosis of patients in the clinic (RNAseq)
- Diagnostics of rare diseases
- Screening technologies for cancer discovery
- Cancer spatial transcriptomics to understand tumour heterogeneity
- AI/ML
- Epigenetics: tools & approaches to understand tumour heterogeneity