AI IN DRUG DEVELOPMENT
Advances in AI for drug development
AI in clinical trials
Limitations of AI in drug development
Data expansion in AI
Target identification using AI
LLMs
Application of LLMs in Drug Development
Clinical Research
Practical applications of LLMs
Cost effective ways to enable AI
Language models in Pharma
IMAGE ANALYSIS
Medical imaging
Digital pathology in geneitcs
AI in monitoring disease markers
CHEMINFORMATICS
AI in drug discovery
Smart assistance
Computer aided design of new molecules
Genetic therapy
QUANTUM PHARMA
Quantum machine learning
Quantum research
Drug discovery and development
ANALYTICS PLATFORM
Data privacy
AI/ML driving clinical outcomes
Industrialising AI
Analytics paradigm
DATA INTEGRATION + FAIR
FAIR implementation in the clinical space
FAIR data products
Data governance
BIOINFORMATICS + IN SILICO R&D
Advancing drug discovery
Data driven protein production
DARPins
DATA MANAGEMENT, STORAGE AND ARCHITECHTURE
Data platforms
FAIR architectures
Enterprise data
Electronic lab notebook
DIGITAL TRANSFORMATION
Digital initiatives
Innovation
Data legislations
Clinical trials
End to end supply chain
REAL WORLD EVIDENCE
Data generation
RWE in rare diseases
Synthetic data
Diversity in clinical trials
SINGLE CELL GENOMICS
CRISPR
Multiomics
Oncology
Single nucleolus multiomics
PRECISION MEDICINE, DIAGNOSTICS AND THERAPIES
Cancer - therapeutic and diagnostic applications
Liquid Biopsy and biomarkers
Digital healthcare
POPULATION GENOMICS
Whole genome sequencing
Precision medicine
Genomic medicines
Biobanks
BIG DATA IN ONCOLOGY
Digital medicines in oncology
Predictive analytics
Multimodal and genomic data
LAB OPERATIONS
Lab QA
Lab Automations
Working and digitalisations of labs