AI for life: Trends in artificial intelligence for biotechnology

Area of Science:

• Biotechnology and Artificial Intelligence (AI) integration.
• AI applications in life sciences and global problem-solving.
• Alignment of AI in biotechnology with Sustainable Development Goals.

Background:

• AI, including machine learning and Big Data analytics, is increasingly vital in life sciences.
• Biotechnology advances coupled with AI unlock unprecedented potential solutions.
• Current AI research spans knowledge discovery, biomedical ontologies, and natural language processing.

Discussion:

• Addressing open research issues in AI for life sciences.
• Exploring challenges in areas like explainable AI (XAI) and reasoning under uncertainty.
• Facilitating advancements in areas such as Food Security and Climate Action.

Key Insights:

• AI and biotechnology synergy drives innovation for global sustainability.
• A broad spectrum of AI methodologies are applicable to life science challenges.
• Identifying research gaps is crucial for future advancements.

Outlook:

• Guidance for authors on developing research papers in AI and biotechnology.
• Potential for AI to significantly impact health, environment, and resource management.
• Future research directions focus on explainable AI and complex data analysis.