BioTechX Europe

The BioTechX Europe is dedicated to the power of big data in biomedical research as a tool for personalised healthcare and he challenges and best practices in implementing research strategy that reduces time to market and enhances the product life cycle

Key Topics

• Llms
  • Clinical research
  • Application of llms in drug development
  • Cost effective ways to enable ai
  • Practical applications of llms
  • Language models in pharma
• Ai in drug development
  • Ai in clinical trials
  • Advances in ai for drug development
  • Data expansion in ai
  • Limitations of ai in drug development
  • Target identification using ai
• Cheminformatics
  • Smart assistance
  • Ai in drug discovery
  • Genetic therapy
  • Computer aided design of new molecules
• Image analysis
  • Digital pathology in geneitcs
  • Medical imaging
  • Ai in monitoring disease markers
• Analytics platform
  • Ai/ml driving clinical outcomes
  • Data privacy
  • Analytics paradigm
  • Industrialising ai
• Quantum pharma
  • Quantum research
  • Quantum machine learning
  • Drug discovery and development
• Bioinformatics + in silico r&d
  • Data driven protein production
  • Advancing drug discovery
  • Darpins
• Data integration + fair
  • Fair data products
  • Fair implementation in the clinical space
  • Data governance
• Digital transformation
  • Innovation
  • Digital initiatives
  • Clinical trials
  • Data legislations
  • End to end supply chain
• Data management, storage and architechture
  • Fair architectures
  • Data platforms
  • Electronic lab notebook
  • Enterprise data
• Single cell genomics
  • Multiomics
  • Crispr
  • Single nucleolus multiomics
  • Oncology
• Real world evidence
  • Rwe in rare diseases
  • Data generation
  • Diversity in clinical trials
  • Synthetic data
• Population genomics
  • Precision medicine
  • Whole genome sequencing
  • Biobanks
  • Genomic medicines
• Precision medicine, diagnostics and therapies
  • Liquid biopsy and biomarkers
  • Cancer - therapeutic and diagnostic applications
  • Digital healthcare
• Lab operations
  • Lab automations
  • Lab qa
  • Working and digitalisations of labs
• Big data in oncology
  • Predictive analytics
  • Digital medicines in oncology
  • Multimodal and genomic data

Who should Attend

Senior attendees attendees with responsibilities in:

• R&D
• Drug discovery
• Biomarkers
• Clinical Trials
• Computational biology
• Personalised medicine
• Genomics/bioinformatics