Immunology Meets Artificial Intelligence: Expanding Our Scientific Toolbox
Keywords: artificial intelligence, immunology, AI tools, pair programming, computational biology
TL;DR: This paper highlights the critical role of AI tools in advancing computational methods, software applications, and research productivity in nascent fields like computational immunology, emphasizing the need for comprehensive AI integration & training
Abstract: Artificial intelligence (AI) is now a part of our daily lives. In this swiftly evolving landscape, AI has become an indispensable tool in the scientific discovery process, augmenting tasks from ideation and hypothesis generation to data cleaning, code development and debugging, text editing, and data analysis. This paper advocates for educational resources for AI in immunology, emphasizing its unique position to leverage AI's potential for scientific discovery. Immunology's intricate tapestry spans multiple biological scales, from molecular interactions to complex systems, presenting an ideal canvas for AI-driven solutions. The field is rich in data, thanks to advanced molecular and single-cell technologies, making it ripe for AI-driven insights. To support the intersection of AI and immunology, we've established a dedicated website as an AI resource hub, offering curated modules and resources. By fostering a "learn by playing" ethos, promoting interactive and engaging workshops, and inviting community contributions, we aim to empower immunologists to harness AI's transformative capabilities and navigate this exciting frontier collectively.
Submission Track: Education
Submission Number: 187
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