- Adeno-associated viruses (AAVs)
- Chimeric Antigen Receptor T-cell (CAR-T) therapy
- T-cell receptor-engineered T-cell (TCR-T) therapy
- Advantages of quantitative PCR (qPCR)
- Identifying qPCR workflows using the QualTrak interactive app
- Discover how AI streamlines the drug development process through automation.
- Learn about the precision enhancements in chemical reactions due to AI planning.
- Understand how AI and robotics minimize human input in complex chemical syntheses.
- Explore how computational analysis turns industrial waste into useful chemicals.
- Gain insight into how AI rapidly optimizes the synthesis of new compounds.
From Concept to Clinic
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Stage 1:
Drug Discovery
Uncover how medicinal chemistry integrates cheminformatics, AI, and machine learning to innovate drug design, refine targeted delivery systems, and streamline drug repositioning for efficient therapy development.
Stage 2:
Pre-clinical Research
Learn about antibiotic resistance, utilizing proteomics and metabolomics for drug discovery, and developing cell and gene therapies to revolutionize disease treatment.
Stage 3:
Diagnostics Development
Our experts will discuss precision medicine, the enhancement of liquid biopsy techniques, and the advancement of point-of-care diagnostics for immediate therapeutic decision-making.
Now Available - Expert Insights eBook
This Expert Insights eBook is designed to enhance scientists’ understanding of qPCR for cell and gene therapy, enabling further research in the field of drug discovery and development.
This free eBook features an interview with Dr. Mikael Kubista, the speaker of "Precision BioAnalytics - Paving the Way for Personalized Medicine".
What you will learn about:
Now Available - Expert Insights eBook
Our free eBook offers a comprehensive journey through the rich tapestry of computational analysis in synthetic planning. Learn how the collaboration of expert knowledge with machine learning is revolutionizing retrosynthetic strategies. An interview with Prof. Timothy Cernak provides a glimpse into the potential of computer-aided synthesis planning to unlock the chemistry of tomorrow.
What you will learn:
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