Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- AI applications in biosystem modeling
- Machine learning for biosystem engineering
- Data-driven approaches in biosystems
- Modeling biological processes with AI
- AI in synthetic biology advancements
- Predictive modeling for bioprocess optimization
- AI techniques for metabolic engineering
- Integration of AI in biotechnology
- AI-driven systems biology approaches
- Biosystem simulations using machine learning
- AI for personalized medicine applications
- Ethical considerations in AI biosystems
- AI-enhanced bioproduct development
- AI in environmental biosystem management
- Real-time biosystem monitoring with AI
- AI tools for bioprocess control
- AI and big data in biotechnology
- Collaborative AI in biosystem research
- AI-driven innovations in biomanufacturing
- Future trends in AI biosystem engineering
All papers must be original and not previously published or submitted elsewhere.
