Publications by Francesca Rodino

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Wireless, miniaturised and distributed neural interfaces are emerging neurotechnologies. Although extensive research efforts contribute to their technological advancement, the need for real-time systems enabling simultaneous wireless information and power ...

Multiple drug concentrations concurrent detection and quantification based on electrochemical sensors are of great importance for therapeutic drug monitoring (TDM) and the development of personalized therapy. Cyclic voltammogram (CV) results obtained by el ...

Malaria continues to pose a significant global health challenge, with substantial impediments arising from the need for more reliable, effective, and economically viable diagnostic tools, particularly for early detection. This research introduces a novel m ...

Etoposide (ETO) and methotrexate (MTX) are widely used chemotherapy drugs in cancer treatment, targeting specific cellular processes crucial for DNA replication and cell division. Despite their efficacy, both drugs have significant adverse toxic effects du ...

Quantification of multiple drugs is of great importance and urgently needed in therapeutic drug monitoring (TDM) and personalized therapy. Especially, based on cyclic voltammograms (CVs) obtained by electrochemical sensors, the use of artificial neural net ...

Electrochemical sensors play a pivotal role in advancing therapeutic drug monitoring (TDM) and personalized therapy. However, the insufficient selectivity of electrochemical sensors based on cytochromes P450 poses a great need for innovative machine learni ...

Water scarcity increasingly challenges the supply of sufficient quantities of safe water for human consumption. On-site water reuse systems can contribute to mitigating the effects of water scarcity by closing water cycles locally. However, broader adoptio ...

Francesca Rodino

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A Wearable Real-Time System for Simultaneous Wireless Power and Data Transmission to Cortical Visual Prosthesis

Automatic simulation of electrochemical sensors by machine learning for drugs quantification

A Novel Microfluidic System for Capacitive Detection Via Magnetophoretic Separation of Malaria-Infected Red Blood Cells

Simultaneous and Selective Detection of Etoposide and Methotrexate With Single Electrochemical Sensors for Therapeutic Drug Monitoring

Optimized Quantification of Multiple Drug Concentrations by WeightedMSE With Machine Learning on Electrochemical Sensor

Identification and Quantification of Multiple Drugs by Machine Learning on Electrochemical Sensors for Therapeutic Drug Monitoring

Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse