Intelligent Biophotonic Sensing: AI-Enhanced OTFT-Based Technologies and Applications

Dear Colleagues,

This Special Issue aims to highlight the latest advancements in biophotonic sensing, particularly those enabled by organic thin-film transistors (OTFTs) and artificial intelligence (AI). By combining the unique properties of OTFTs with the power of AI, we can develop innovative sensing solutions for a wide range of applications, from healthcare to environmental monitoring.

Biophotonic sensing, at the intersection of photonics and biology, has seen rapid advancements in recent years. This Special Issue seeks to explore the cutting-edge developments in intelligent biophotonic sensing, with a particular focus on the synergy between organic thin-film transistors (OTFTs) and artificial intelligence (AI).

We invite high-quality original research papers on the following topics:

• OTFT-Based Biophotonic Sensors:
  • Design and optimization of OTFT materials and device structures;
  • Applications of OTFTs in biomolecular detection;
  • Integration of OTFTs with optical sensors.
• AI in Biophotonic Sensing:
  • Machine learning and deep learning models;
  • Data analysis and pattern recognition;
  • Design and implementation of intelligent sensing systems.
• Applications of Intelligent Biophotonic Sensing:
  • Early disease diagnosis;
  • Biomarker detection;
  • Drug delivery monitoring;
  • Tissue engineering;
  • Environmental monitoring: water quality, food safety, and pollutant detection.

We believe that this Special Issue will attract high-quality submissions from leading researchers in the field and contribute significantly to advancements in biophotonic sensing technology.

Dr. Shanshan Cheng
Dr. Chenfang Sun
Guest Editors

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