AI IN DRUG DEVELOPMENT
Advances in AI for drug development
AI in clinical trials
Limitations of AI in drug development
Data expansion in AI
NLP
Applications of NLP in drug development
Clinical Research
Practical application of NLP
Cost effective ways to enable AI
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 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
SINGLE CELL GENOMICS
Human genetics for drug discovery
Single-nucleus multi omics
Neurology
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