Review—Quantum Biosensors: Principles and Applications in Medical Diagnostics

Review—Quantum Biosensors: Principles and Applications in Medical Diagnostics

2024 | Suparna Das, Hirak Mazumdar, Kamil Reza Khondakar, Yogendra Kumar Mishra, and Ajeet Kaushik
Quantum biosensors (QB) are transforming medical diagnostics and personalized medicine by leveraging quantum phenomena to enhance sensitivity, specificity, and detection speed compared to traditional biosensors. They combine biological entities like DNA, proteins, or enzymes with quantum sensors, which detect changes in light emissions when interacting with sample molecules. QBs are promising for early diagnosis of diseases like Alzheimer's and cancer, enabling real-time monitoring of treatment responses. However, challenges such as stability, reproducibility, and quantum interactions remain. Future advancements in fabrication, interdisciplinary collaboration, and standardization are crucial for QB's development. QBs offer high sensitivity and precision, enabling detection of single molecules and biomarkers, and have applications in medical diagnostics, environmental monitoring, and biosecurity. Quantum dots (QDs), nanoparticles, and other quantum materials are used in biosensors, with QDs showing quantum confinement effects and high sensitivity. QBs can detect biomarkers with high accuracy and are used in various applications, including disease diagnosis, drug monitoring, and cancer detection. They also have potential in wearable biosensors for non-invasive monitoring of health indicators. Integration of AI with QBs enhances data analysis, enabling early disease detection and personalized medicine. QBs, combined with AI, offer promising solutions for precision medicine, improving healthcare access and patient outcomes. The future of QBs lies in their integration with AI and IoT technologies, enabling efficient and personalized healthcare.Quantum biosensors (QB) are transforming medical diagnostics and personalized medicine by leveraging quantum phenomena to enhance sensitivity, specificity, and detection speed compared to traditional biosensors. They combine biological entities like DNA, proteins, or enzymes with quantum sensors, which detect changes in light emissions when interacting with sample molecules. QBs are promising for early diagnosis of diseases like Alzheimer's and cancer, enabling real-time monitoring of treatment responses. However, challenges such as stability, reproducibility, and quantum interactions remain. Future advancements in fabrication, interdisciplinary collaboration, and standardization are crucial for QB's development. QBs offer high sensitivity and precision, enabling detection of single molecules and biomarkers, and have applications in medical diagnostics, environmental monitoring, and biosecurity. Quantum dots (QDs), nanoparticles, and other quantum materials are used in biosensors, with QDs showing quantum confinement effects and high sensitivity. QBs can detect biomarkers with high accuracy and are used in various applications, including disease diagnosis, drug monitoring, and cancer detection. They also have potential in wearable biosensors for non-invasive monitoring of health indicators. Integration of AI with QBs enhances data analysis, enabling early disease detection and personalized medicine. QBs, combined with AI, offer promising solutions for precision medicine, improving healthcare access and patient outcomes. The future of QBs lies in their integration with AI and IoT technologies, enabling efficient and personalized healthcare.
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[slides and audio] Review%E2%80%94Quantum Biosensors%3A Principles and Applications in Medical Diagnostics