Gabriele Varisco

Gabriele Varisco is a Research Fellow at Eindhoven University of Technology (Netherlands), affiliated with the Applied Physics and Science Education department and the Eindhoven MedTech Innovation Center. His work bridges biomedical engineering, neonatal diagnostics, and machine learning to address critical challenges in preterm infant care.

• Research Focus: Neonatal monitoring, machine learning for apnea and sepsis prediction, physiological signal analysis, and optimizing clinical workflows in NICUs.
• Projects: Key contributor to the TKI-HTSM/21.0219/TKI2112P11 PISANO SPS project (2021-2026) on perioperative innovations and newborn diagnostics.
• Collaborations: Works closely with X. Long, Z. Peng, P. Andriessen, and C. van Pul on multimodal signal processing for clinical applications.

Article Trends: His publications emphasize machine learning integration with multichannel physiological data to predict conditions like central apnea and late-onset sepsis. Key subfields include real-time monitoring algorithms, heart rate variability analysis, CPAP failure prediction, and reducing NICU alarm fatigue through signal optimization.

Advising & Grants: No direct student mentoring information is available. Collaborates on projects funded by institutions such as the Eindhoven MedTech Innovation Center and TKI-HTSM (Dutch innovation program).