Dr. Nicolò Colistra is a biomedical engineer and AI researcher whose work integrates machine learning, biomedical sensing, and intelligent systems to advance healthcare diagnostics, treatment optimization, and human performance assessment. His research spans artificial intelligence for oncology and cardiology, predictive modeling for clinical decision-making, and the development of multi-scale digital twin architectures. He has contributed to high-impact innovations in cardiotoxicity assessment through big-data pipelines, automated drug-screening platforms, and advanced signal-processing algorithms, alongside significant achievements in microfabrication, biosensor design, optical systems, and clean-room prototyping. His applied research also includes the engineering of wearable and robotic systems for gait analysis, athletic performance prediction, and human–machine interaction. Dr. Colistra’s academic influence is demonstrated by 187 citations, 11 publications, and an h-index of 6, underscoring his growing visibility in biomedical engineering, AI-driven health technologies, and translational innovation. He has collaborated with leading institutions including ENEA, the University of Rome Tor Vergata, the Italian Institute of Technology, and IBM Research, contributing to multidisciplinary projects that bridge engineering, medicine, and computational sciences. His work has been showcased at major international conferences, reflecting global engagement in biomedical imaging, electroporation, bioengineering, and neurosensor technologies. Through the integration of AI, advanced sensing, and multi-disciplinary engineering, Dr. Colistra’s research contributes to safer drug development, improved cardiovascular risk evaluation, enhanced athlete monitoring, and more precise diagnostic pathways, ultimately supporting societal goals of better healthcare, prevention, and performance optimization.

Profiles: Scopus | ORCID | ResearchGate

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