Biophotonics spans applications ranging from the detection of chemical and biological molecules to biomedical imaging, generating highly complex and informative datasets. As Artificial Intelligence (AI) continues to redefine modern scientific paradigms, the synergy between these two fields presents unprecedented opportunities for innovation.

The 2027 edition of the Biophotonics & Artificial Intelligence School (BpAI 2027) represents one of the most significant evolutions in its scientific program. Reflecting the latest breakthroughs in international research, this year’s curriculum features dedicated modules on Explainable AI, Agentic AI for research, time series analysis, and complex systems and their connections with AI. Special focus will be given to AI applications across imaging, clinical, spectral, and wearable sensor data, alongside cutting-edge topics quantum optics and photonics, computational imaging and sensing, and advanced technologies for sensing and imaging.

A highlight of BpAI 2027 will be the honor of hosting Prof. Daniele Faccio from the University of Glasgow, who will deliver specialized lectures and a keynote Lectio Magistralis.

Founded to bridge the gap between biophotonics and artificial intelligence, the School offers a tailored training path that provides participants with both robust theoretical foundations and hands-on practical tools. The program aims to empower researchers to apply these advanced AI methodologies across a broad spectrum of disciplines—including medicine, biology, photonics, cultural heritage, space science, and data science.