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
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