AI in Pharmaceuticals

Below is the criteria for Global AI Awards in Pharmaceuticals category:

1. Design (25%)

• Quality and scientific rigor of system design in drug discovery, development, or manufacturing.
• Integration with laboratory, clinical, and regulatory workflows.
• Compliance with pharmaceutical regulations (FDA, EMA, ICH) and data integrity standards.
• Ethical and transparent design, ensuring patient safety, data privacy, and research reproducibility.

2. Impact (35%)

• Demonstrated improvements in R&D speed, accuracy, or cost-efficiency.
• Measurable outcomes such as reduced drug development timelines, improved success rates, or optimized formulations.
• Contribution to global health equity through accessible, affordable, and effective medicines.
• Influence on advancing precision medicine, clinical trials, and pharmaceutical innovation.

3. Creativity (25%)

• Innovative applications of AI in molecular modeling, target identification, formulation, or trial optimization.
• Unique approaches to repurposing existing drugs or accelerating new molecule discovery.
• Pioneering integrations with quantum computing, generative design, or bioinformatics.
• Differentiation from conventional pharmaceutical R&D approaches.

4. Ease of Use (15%)

• Accessibility for researchers, clinicians, and pharmaceutical professionals.
• Intuitive platforms, analytical tools, and visualizations that simplify complex processes.
• Low barriers to adoption across organizations of varying scales (startups to global pharma).
• Training, documentation, and technical support to enhance usability and trust.