Biosensors | Notable Papers on Artificial Intelligence-Assisted Biosensors

1. “Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques”
by Kameswara Rao Vepa, Reshma Beeram and Venugopal Rao Soma
Biosensors 2023, 13(3), 328; https://doi.org/10.3390/bios13030328
Available online: http://www.mdpi.com/2079-6374/13/3/328

2. “AI-Assisted Detection of Biomarkers by Sensors and Biosensors for Early Diagnosis and Monitoring”
by Jacek Gębicki, Tomasz Wasilewski and Wojciech Kamysz
Biosensors 2024, 14(7), 356; https://doi.org/10.3390/bios14070356
Available online: http://www.mdpi.com/2079-6374/14/7/356

3. “Advancing Healthcare: Synergizing Biosensors and Machine Learning for Early Cancer Diagnosis”
by Darshan Singh, Mahtab Kokabi, Mehdi Javanmard and Muhammad Nabeel Tahir
Biosensors 2023, 13(9), 884; https://doi.org/10.3390/bios13090884
Available online: http://www.mdpi.com/2079-6374/13/9/884

4. “Nucleic Acid Quantification by Multi-Frequency Impedance Cytometry and Machine Learning”
by Arastou Pournadali Khamseh, Curt Scharfe, Jianye Sui, Mahtab Kokabi, Mehdi Javanmard and Neeru Gandotra
Biosensors 2023, 13(3), 316; https://doi.org/10.3390/bios13030316
Available online: http://www.mdpi.com/2079-6374/13/3/316

5. “On-Field Test of Tuberculosis Diagnosis through Exhaled Breath Analysis with a Gas Sensor Array”
by Alexandro Catini, Corrado Di Natale, Fausto Ciccacci, Hugo Bertrand Mbatchou Ngahane, Laurent-Mireille Endale Mangamba, Leonardo Palombi, Roberto Paolesse, Rosamaria Capuano and Yolande Christelle Ketchanji Mougang
Biosensors 2023, 13(5), 570; https://doi.org/10.3390/bios13050570
Available online: http://www.mdpi.com/2079-6374/13/5/570

6. “Progress and Perspectives of Mid-Infrared Photoacoustic Spectroscopy for Non-Invasive Glucose Detection”
by Abdulrahman Aloraynan, Dayan Ban, Jiaqi Song, Md Rejvi Kaysir and Shazzad Rassel
Biosensors 2023, 13(7), 716; https://doi.org/10.3390/bios13070716
Available online: http://www.mdpi.com/2079-6374/13/7/716

7. “Machine Learning-Driven Innovations in Microfluidics”
by Hee-Jae Jeon, Jinseok Park and Yang Woo Kim
Biosensors 2024, 14(12), 613; https://doi.org/10.3390/bios14120613
Available online: http://www.mdpi.com/2079-6374/14/12/613

8. “Application of Intelligent Medical Sensing Technology”
by Jie Fu, Qiya Gao and Shuang Li
Biosensors 2023, 13(8), 812; https://doi.org/10.3390/bios13080812
Available online: http://www.mdpi.com/2079-6374/13/8/812

9. “Advances in Cancer Research: Current and Future Diagnostic and Therapeutic Strategies”
by Hui Jiang, Xiaohui Liu and Xuemei Wang
Biosensors 2024, 14(2), 100; https://doi.org/10.3390/bios14020100
Available online: http://www.mdpi.com/2079-6374/14/2/100

10. “Machine Learning Techniques for Effective Pathogen Detection Based on Resonant Biosensors”
by Guoguang Rong, Mohamad Sawan and Yankun Xu
Biosensors 2023, 13(9), 860; https://doi.org/10.3390/bios13090860
Available online: http://www.mdpi.com/2079-6374/13/9/860