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Thu 11 Jun | 08:00 - 17:20
254AB
Towards the Integration of AI Approaches in Biological, Healthcare and Precision Agriculture Applications Using Microwaves Analysis
Electromagnetic fields from low frequency to sub-mm-wave (THz) are attracting much interest for biological, healthcare and agriculture precision applications. Among them is the possibility to non-invasively analyze living organisms at various scales, from individual cells to tissues and organs, for in-vitro and in-vivo investigations. With the advent of machine-learning techniques, the intrinsic variability of living organisms can be increasingly taken into account and offer new perspectives for detection and applications. This workshop will address the latest advances in microwave, mm-wave and sub-mm-wave biosensing and probing instruments suitable for molecular-scale to organ-scale investigations during in-vitro and in-vivo studies. Accurate biological sample characterization and analysis will be highlighted with resonant or broadband approaches with respect to the target applications, with main aims of early diseases’ diagnosis and prognosis. The integration of machine-learning techniques is becoming more common in biomedical investigations and enables further advances in detection accuracy and limits. Examples will be discussed, demonstrating its undoubted interest and increased use in the near future. A large space for discussion and interactions between speakers and attendees will be kept open during the day.
08:00 - 17:20
WThC-1 Sensing of Tissue Dielectric Properties in the Microwave Range for Diagnostic and Mapping Applications
08:00 - 17:20
WThC-2 Microwave Moisture Content Sensors with Embedded Predictive-Model
08:00 - 17:20
WThC-3 Using Deep Learning to Improve Pulsed Electric Field Treatments in Cardiology and Oncology
08:00 - 17:20
WThC-4 Microwave Dielectric Spectroscopy in Healthcare and Precision Agriculture
08:00 - 17:20
WThC-5 The Potential of Machine Learning to Strengthen the Microwave-Microfluidic Characterization of Biological and Chemical Materials
08:00 - 17:20
WThC-6 Multi-modal Dielectric-Holographic Optical Analysis of Single Biological Cells Using Machine Learning
08:00 - 17:20
WThC-7 Microwave Non-Invasive Blood Glucose Monitor: Progress and Real-World Challenges to Commercialisation Pathway
08:00 - 17:20
WThC-8 Ultra-High-Frequency Dielectrophoresis (UHF-DEP) for Cell Analysis: Assessing its Utility as a MHz-Frequency Biomarker for Solid Cancer Diagnosis and Prognosis