Drug Discovery: Old realities meet with new modalities
*
1.
What modality therapeutic research category do you find yourself within drug discovery?
(Required.)
Antibody
Peptide/Protein
DNA/RNA
Small molecule
Vaccine
Cell Therapy
Gene Therapy
*
2.
How well does your current digital infrastructure support multi-modality research and collaboration?
(Required.)
Extremely well
Very well
Moderately well
Slightly well
Not well
*
3.
What do you consider the biggest challenge in adopting multimodal drug discovery strategies?
(Required.)
Challenges in global collaboration and communication across teams
Lack of in-house expertise across various modalities
Difficulty creating and maintaining fit-for-purpose databases for new modality drugs
Difficulty in establishing collaborative partnerships
Regulatory uncertainties surrounding new modalities
*
4.
If you could change one thing that would unlock the greatest outcome in developing your specific modality drug it would be...?
(Required.)
Clearer communication and collaboration tools
Decrease and shorten development costs and timelines
Creating simple to use and comprehensive databases
Improve overall understanding of cross team data transfers and their implications
Other (please specify)
*
5.
In your experience within your organization, which factor is the most critical for successful drug discovery in the context of new modalities?
(Required.)
Effective collaboration and communication across domains
Integrated digital systems for data and process management
AI-driven research and analysis
Comprehensive databases with metadata and experimental contexts
Scalability and translational endpoints in R&D and clinical data
Other (please specify)
*
6.
How important is it to have a unified platform that supports various drug modalities in your research?
(Required.)
Extremely important
Very important
Moderately important
Slightly important
Not important
*
7.
Which aspect of your drug discovery strategy would benefit the most from improved digital solutions?
(Required.)
Data integration and management
Collaboration and communication tools
AI-driven research capabilities
Experimental context and metadata organization
Scalability and translational research support
Other (please specify)
