AI IN DRUG DISCOVERY AND DEVELOPMENT
Advances in AI for drug development
AI in clinical trials
Limitations of AI in drug development
Data expansion in AI
LLMs
Applications of LLMs in Drug Development
Clinical Research
Practical application of LLMs
Cost effective ways to enable AI
Language models in Pharma
PRECISION MEDICINE AND LIQUID BIOPSY
Manufacturing CAR T cells
Immuno-oncology
Multi-cancer early detection
Personalised medicine for drug safety
BIG DATA IN ONCOLOGY
Clinical biomarkers
Tumour microenvironment
Translational data sources
Analytical and regulatory challenges
Oncology drug development
DATA MANAGEMENT, STORAGE AND ARCHITECHTURE
Data platforms
FAIR architectures
Enterprise data
ANALYTICS PLATFORM
Data privacy
AI/ML driving clinical outcomes
Industrialising AI
DATA INTEGRATION + FAIR
Research and development
Language models
Silo busting
Pre and post acquisition
BIOINFORMATICS + INSILICO R&D
Clinical development
Data driven drug discovery
Global biologics informatics platforms
Multi omics
DIGITAL TRANSFORMATION
Digital health solutions
Applications in the life science industry
Drug development efficiency
Inclusive data management
REAL WORLD EVIDENCE
Real world data
Future applications
Leveraging AI for RWE
Real world evidence in the clinical setting
AI in Clinical Trials
Enhancing patient recruitment with AI algorithms
AI-driven trial design and optimization
Predictive analytics for clinical outcomes
Accelerating drug development through machine learning
BIOMARKERS + COMPANION DIAGNOSTICS
Image based machine learning models
Single molecule detection
Digital biomarkers
Multi-cancer early detection
RARE DISEASE IN GENOMICS
In-vivo gene editing
Accelerating medicines for rare diseases
Neurodevelopmental disorders
Future of rare diseases