AI-Supported Electronic Noses Detect Diseases via Bad Breath
Prof. Dr. Oğuzhan Erdem, Head of the Electrical and Electronics Engineering Department at Trakya University, announced that artificial intelligence-supported electronic nose technologies can detect various diseases by analyzing bad breath. Speaking during the Biotechnology Days event held at the Mimar Sinan Conference Hall, Erdem explained how AI enhances healthcare by analyzing sensory data, particularly smell. He highlighted that these electronic systems are increasingly used in diagnostic processes to distinguish conditions such as diabetes, oral cancers, and lung cancers through halitosis. The technology represents a significant contribution to medical diagnostics, leveraging AI's ability to process complex olfactory patterns. Additionally, Prof. Dr. Yalçın Kaya from the Genetics and Bioengineering Department noted ongoing AI applications in genetics and bioengineering. The event featured presentations on current scientific developments, emphasizing the growing role of artificial intelligence in surgical applications and disease detection. This innovation underscores the intersection of engineering, biotechnology, and medicine, offering non-invasive diagnostic tools that could revolutionize early disease identification and patient care protocols in the near future.
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AI-Supported Electronic Noses Detect Diseases via Bad Breath
Prof. Dr. Oğuzhan Erdem, Head of the Electrical and Electronics Engineering Department at Trakya University, announced that artificial intelligence-supported electronic nose technologies can detect various diseases by analyzing bad breath. Speaking during the Biotechnology Days event held at the Mimar Sinan Conference Hall, Erdem explained how AI enhances healthcare by analyzing sensory data, particularly smell. He highlighted that these electronic systems are increasingly used in diagnostic processes to distinguish conditions such as diabetes, oral cancers, and lung cancers through halitosis. The technology represents a significant contribution to medical diagnostics, leveraging AI's ability to process complex olfactory patterns. Additionally, Prof. Dr. Yalçın Kaya from the Genetics and Bioengineering Department noted ongoing AI applications in genetics and bioengineering. The event featured presentations on current scientific developments, emphasizing the growing role of artificial intelligence in surgical applications and disease detection. This innovation underscores the intersection of engineering, biotechnology, and medicine, offering non-invasive diagnostic tools that could revolutionize early disease identification and patient care protocols in the near future.
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