Artificial Intelligence (AI) is revolutionizing the landscape of scientific discovery, driving faster and more comprehensive breakthroughs across numerous disciplines. As highlighted in the “World Economic Forum's Top 10 Emerging Technologies of 2024”, "AI for scientific discovery" is poised to fundamentally alter research methodologies and outcomes, setting the stage for unprecedented advancements.
This Research Topic aims to explore how AI technologies are transforming scientific inquiry, underscoring the profound implications and innovative applications across various fields. We seek contributions that showcase AI's role in expediting research processes, enhancing data analysis, and fostering interdisciplinary collaboration.
We welcome submissions in the form of original research articles, comprehensive reviews, and opinion pieces, focusing on the following subthemes:
Frontiers in AI-Powered Molecular and Structural Biology:
- Investigating the impact of AI models like DeepMind's AlphaFold on protein structure prediction.
- Exploring the implications for biochemistry, drug discovery, and molecular biology.
AI-Enhanced Scientific Research Processes:
- Examining AI's role in generating hypotheses, mining scientific literature, and analyzing vast datasets.
- Assessing the automation of laboratory experiments to accelerate research timelines and improve efficiency.
Transformative AI Applications in Healthcare:
- Analyzing advancements in disease diagnosis, personalized treatment planning, and preventive healthcare driven by AI.
- Evaluating AI-driven improvements in patient management and health outcomes.
Next-Generation Materials Discovery through AI:
- Exploring AI's contributions to discovering and developing advanced materials.
- Considering the impacts on sustainability, energy efficiency, and technological innovation.
AI Insights in Life Sciences and Neuroscience:
- Delving into AI's role in understanding complex biological and neural processes.
- Investigating applications in genetics, neurobiology, and cognitive sciences.
Ethical, Legal, and Practical Dimensions of AI in Science:
- Addressing the ethical, legal, and social issues surrounding the use of AI in scientific research.
- Discussing topics such as data privacy, intellectual property, bias mitigation, and the environmental impact of AI technologies.
Through this Research Topic, we aim to provide a comprehensive overview of AI's transformative potential in scientific discovery. This collection will serve as a platform for interdisciplinary dialogue and knowledge exchange, fostering a deeper understanding of AI's role in shaping the future of research.
Keywords: Artificial Intelligence, Scientific Discovery, AI Technologies, Interdisciplinary Collaboration, Research Methodologies
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
