Below is the criteria for Global AI Awards in Biotechnology & Life Sciences Category:
1. Design (25%)
Quality and robustness of the AI solution’s design for biotechnology or life sciences applications.
Integration with existing scientific workflows, research platforms, or healthcare systems.
Compliance with regulatory, ethical, and safety standards (FDA, EMA, WHO, bioethics).
Sustainability, reproducibility, and reliability of the system in research or clinical use.
2. Impact (35%)
Demonstrated outcomes in advancing discovery, development, or delivery (e.g., drug discovery, diagnostics, genomics, personalized medicine, agriculture biotech).
Acceleration of research timelines and/or reduction of costs.
Measurable improvements in health outcomes, patient care, or scientific breakthroughs.
Contributions to global challenges (pandemic response, food security, climate-resilient crops, public health).
3. Creativity (25%)
Novel applications of AI in areas traditionally constrained by complexity or scale (protein folding, biomarker discovery, clinical trials optimization).
Original approaches that push boundaries in biotech or life sciences research.
Use of AI to open new frontiers in understanding biology or designing interventions.
Differentiation from conventional biotech/life sciences methodologies.
4. Ease of Use (15%)
Accessibility for scientists, clinicians, and researchers with varying technical expertise.
Intuitive workflows, visualization tools, or interfaces that enhance adoption.
Integration into existing lab, hospital, or field environments without heavy disruption.
Support for education, training, and knowledge-sharing across disciplines.
