Biosensors in Precision Medicine

Laís Canniatti Brazaca received her M.S. and Ph.D. degrees from São Carlos Institute of Physics, University of São Paulo (IFSC/USP), Brazil, in 2015 and 2019, respectively. She is currently an associated professor at São Carlos Institute of Chemistry, University of São Paulo (IQSC/USP). Laís has been working in the development of electrochemical and colorimetric biosensors for aiding in medical diagnosis for the last 12 years, having experience with antibody-, DNA-, enzyme- and aptamer-based devices. Her specialties include microfabrication, electrodes modification, nanomaterials for sensing applications and wearable and paper-based devices. Dr. Juliane R. Sempionatto has expertise in developing wearable electrochemical sensors to monitor medical relevant biomarkers in sweat, saliva, tears, and interstitial fluid. Her research interests include soft and stretchable electronics, high-performance electrochemical biosensors, and biofuel cells. Dr. Sempionatto is currently a postdoctoral researcher at Caltech in Prof Wei Gao’s group. She received her Ph.D. in Nanoengineering at UCSD, working with Prof Joseph Wang. Dr. Sempionatto has published over 32 peer-reviewed papers in renowned international journals such as Nature Biomedical Engineering, Adv. Science, Biosensors and Bioelectronics, and ACS sensors and have five patents based on her research. She is the recipient of the prestigious Siebel Scholar award (class of 2021).

Part 1. Biomarkers and Precision Medicine1. Biomarkers: an introduction2. Biomarkers in precision medicine

Part 2. Biosensors and its Applications in Precision Medicine3. Biosensors: an introduction4. Validation of biosensors5. The Application of Biosensors in Precision Medicine6. Recent advancements in bioreceptors and materials7. Recent advancements in detection and amplification techniques

Part 3. Trends of Biosensors in Precision Medicine8. Lab-on-a-chip devices9. Wearable and flexible sensors10. Telemedicine, Machine learning, AI (examples of existing sensors that can do ML and AI)11. Commercial potential of biosensors