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AI Applied to VOC Profiles for Early Detection of Lung Cancer
Playlist
  • lung cancer
  • volatile organic compounds
  • artificial intelligence
  • early detection
  • machine learning
Video Introduction

This video is adapted from 10.3390/cancers16122200

Lung cancer stands as a serious health challenge, prompting the exploration of innovative detection methods. Volatile organic compounds (VOCs) found in exhaled breath air are becoming a relevant opportunity for early cancer detection, including lung cancer, without invasive procedures or high costs. Unlike traditional approaches, which target specific compounds, this study analyzes overall compositional profiles, maximizing detection efficiency. The results highlight the potential of AI-driven techniques in revolutionizing early cancer detection for clinical use.

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If you have any further questions, please contact Encyclopedia Editorial Office.
Vaz, P.D.; Vinhas, M.; Leitão, P.M.; Dos Santos Raimundo, B.S.; Gil, N.; Luis-Ferreira, F. AI Applied to VOC Profiles for Early Detection of Lung Cancer. Encyclopedia. Available online: https://encyclopedia.pub/video/video_detail/1379 (accessed on 09 January 2026).
Vaz PD, Vinhas M, Leitão PM, Dos Santos Raimundo BS, Gil N, Luis-Ferreira F. AI Applied to VOC Profiles for Early Detection of Lung Cancer. Encyclopedia. Available at: https://encyclopedia.pub/video/video_detail/1379. Accessed January 09, 2026.
Vaz, Pedro D., Manuel Vinhas, Pedro M. Leitão, Bernardo S. Dos Santos Raimundo, Nuno Gil, Fernando Luis-Ferreira. "AI Applied to VOC Profiles for Early Detection of Lung Cancer" Encyclopedia, https://encyclopedia.pub/video/video_detail/1379 (accessed January 09, 2026).
Vaz, P.D., Vinhas, M., Leitão, P.M., Dos Santos Raimundo, B.S., Gil, N., & Luis-Ferreira, F. (2024, October 09). AI Applied to VOC Profiles for Early Detection of Lung Cancer. In Encyclopedia. https://encyclopedia.pub/video/video_detail/1379
Vaz, Pedro D., et al. "AI Applied to VOC Profiles for Early Detection of Lung Cancer." Encyclopedia. Web. 09 October, 2024.
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