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Professor Carlo Pappone is a Full Professor of Cardiology at Vita-Salute San Raffaele University (since 2019) and Director of the Arrhythmology Department at IRCCS Policlinico San Donato Hospital (since 2015). He has held previous academic/clinical leadership roles at IRCCS San Raffaele Hospital (2000-2010), Villa Maria Cecilia Hospital (2010-2015), and University of Naples Federico II (1990-2000). With 212 publications in top journals like NEJM, JAMA, and Circulation, he has made significant contributions to cardiac arrhythmia research. Current Positions Vita-Salute San Raffaele University (2019-present): Full Professor of Cardiology IRCCS Policlinico San Donato Hospital (2015-present): Director of Arrhythmology Department Previous Roles University of Naples Federico II (1990-2000) University of Michigan Ann Harbor (1990-2000) IRCCS San Raffaele Hospital (2000-2010) Villa Maria Cecilia Hospital (2010-2015) Research Focus: Specializing in cardiovascular diseases, his work spans atrial fibrillation ablation techniques, Brugada syndrome pathogenesis, heart failure device therapy, and ion channel disorders. His H-index of 53 and 18,407 citations reflect his substantial academic impact. Notable Scientific Contributions Author of 44 patents Principal Investigator in 14 clinical trials (clinicaltrials.gov) Developed circumferential pulmonary vein ablation technique Innovator in biventricular pacing systems for heart failure Pioneered research on non-excitatory current for cardiac contractility Scientific Recognition Awarded as Elite Reviewer of JACC (2005) Editorial Board Member of 6 leading journals Reviewer for NEJM, JAMA, Lancet, and Nature Medicine Education Medical Doctorate: University of Naples Federico II

• Cardiology
• Electrophysiology
• Cardiac Arrhythmias
• +4 more

Dr. Jaime Oscar Casas is an Associate Professor of Electronic Engineering at the Universitat Politècnica de Catalunya (UPC), affiliated with the School of Telecommunications and Aerospace Engineering in Castelldefels (EETAC) and the Department of Electronic Engineering. He has held this position since receiving his Doctor Ingeniero de Telecomunicación degree from UPC in 1998, following his 1994 Ingeniero de Telecomunicación degree from the same institution. His research focuses on electronic instrumentation , bioimpedance sensors , and noninvasive physiological measurement systems . He is a key member of UPC's ISI Research Group (Instrumentation, Sensors & Interfaces) and the AGROTECH-UPC Agrofood Technology Research Center . His work bridges biomedical engineering, wearable technology, and precision agriculture, with over 338 documented research activities including articles, patents, and grants. Notable contributions include innovative systems for ECG monitoring, impedance plethysmography, and noninvasive cardiovascular diagnostics. He has led projects funded by EU Horizon 2020, Spanish Ministry of Science, and Catalan Government programs. Awards include the Women in TIC Award 2019 and the Hemav Foundation Awards . He advises engineering students on real-time signal processing and wearable device development. His lab develops low-power medical sensors, smart agricultural monitoring tools, and systems for human-motion analysis with over 70 indexed journal articles and 106 conference presentations. He collaborates with industry partners on projects like the 6G-OpenLab and eSMILE initiative for assistive technologies.

• Electronic Instrumentation
• Biomedical Engineering
• Sensor Interfaces
• +4 more

Luca Pavarino is a Professor at the Department of Mathematics, University of Pavia. His research focuses on scientific computing and numerical methods, particularly in the context of cardiac electrophysiology and multiphysics systems. He leads the Scientific Computing group, specializing in domain decomposition methods (BDDC/FETI-DP), isogeometric analysis, and parallel algorithms. His work integrates advanced numerical techniques with biomedical applications, including cardiac electromechanical coupling, drug testing on cardiac tissues, and modeling genetic cardiac disorders like LQT8 syndrome. Key contributions include scalable solvers for nonlinear systems, preconditioners for heterogeneous media, and operator learning for ionic dynamics. Research interests span computational cardiology, numerical analysis, and parallel computing, with applications to biophysics and drug discovery. His projects often involve interdisciplinary collaborations between mathematics, engineering, and medicine. Notable contributions include: Development of BDDC/FETI-DP preconditioners for cardiac models Integration of machine learning with cardiac electrophysiology High-performance computing for multiphysics systems (Biot’s consolidation, protein stability) Labs/Teams: Scientific Computing Group at the University of Pavia’s Department of Mathematics.

• Scientific Computing
• Numerical Methods
• Computational Cardiology
• +5 more

Cianflone Domenico is an Associate Professor of Cardiovascular Diseases at Vita-Salute San Raffaele University in Milan, Italy. He serves as Director of the Cardiac Rehabilitation Unit at San Raffaele Hospital and has held various clinical and academic positions throughout his distinguished career in cardiology. His educational background includes: Medical Degree with Honors, University of Milan (1980) Specialization in Cardiology, University of Milan (1982) Research Fellow, Cardiology Division, Royal Post-Graduate Medical School, Hammersmith Hospital, London (1983-1986) Honorary Fellowship, Duke University Medical Center, USA (1986) Professor Cianflone's research focuses on the causal mechanisms and precipitating factors of myocardial infarction and other coronary syndromes, innovative patient stratification models, and the development of Health IT/telemedicine solutions for cardiovascular care. His work bridges clinical cardiology with digital health technologies to improve cardiovascular disease prevention and management, with particular emphasis on cardiac rehabilitation, coronary artery disease mechanisms, and cardiovascular applications of health information systems. His recent publications demonstrate a strong emphasis on cardiac rehabilitation, postoperative cardiac complications, and the application of emerging technologies in cardiology. There's a clear trend toward exploring the intersection of traditional cardiology with digital health solutions, rehabilitation protocols, and personalized approaches to cardiovascular disease management, with numerous publications in high-impact journals like the International Journal of Cardiology. Professor Cianflone has held significant editorial positions including: Deputy Editor-in-Chief, International Journal of Cardiology (2016-present) Deputy Editor, International Journal of Cardiology: Hypertension (2018-present) Editorial Board, Italian Heart Journal (1998-2000) Editor-in-Chief, Medscape Italia Cardiologia (1999-2001) Professor Cianflone has supervised 24 degree theses and 12 specialization theses at UniSR, with four of these theses leading to Young Researcher awards and international recognitions from organizations like SISA, GICR, and the American College of Cardiology. He has coordinated or participated in 15 research projects funded by the European Commission, European Social Fund, European Space Agency, Ministry of Health, and Ministry of University and Scientific Research. Additionally, he has served as principal investigator in 15 international clinical trials related to cardiovascular disease and held numerous positions in international commissions at the European Society of Cardiology, American College of Cardiology, International Heart Health Society, and NIH. As Director of the Cardiac Rehabilitation Unit at San Raffaele Hospital, Professor Cianflone leads a multidisciplinary team focused on high-intensity rehabilitative care for patients following advanced cardiac surgery, structural heart procedures, and complex coronary syndromes. His unit provides comprehensive cardiovascular prevention and rehabilitation services with a focus on reducing global cardiovascular risk, including hypertension, dyslipidemia, and diabetes management.

• Cardiovascular Diseases
• Cardiology
• Cardiac Rehabilitation
• +5 more

Giuseppe Agapito is a Professor at the Department of Law, Economics and Sociology (DiGES) at the University of Camerino, where he teaches courses such as Elements of Computer Science and Data Analysis. He specializes in computational biology, bioinformatics, and health informatics, focusing on genomic data analysis, machine learning applications in healthcare, and parallel computing methodologies. His research integrates multi-omics approaches, pathway enrichment analysis, and predictive modeling for drug response and disease mechanisms. Notable contributions include tools like BioPAX-Parser and cPEA, which enhance genomic data interpretation. He actively collaborates in international studies, such as the 4CE consortium analyzing SARS-CoV-2 impacts. His work addresses challenges in privacy-aware bioinformatics, high-performance computing for genomics, and AI-driven medical diagnostics. Education details are not explicitly provided in the texts, but his academic profile reflects extensive expertise in interdisciplinary fields bridging computer science and biomedical research. He maintains an active research agenda with over 50 publications since 2018, emphasizing scalable data analysis, drug biomarker discovery, and computational methods for clinical outcomes prediction. His teaching responsibilities include IT management and data analysis modules within social science curricula, reflecting a commitment to digital literacy across disciplines. Research interests span bioinformatics tool development, genomic data preprocessing, and AI applications in healthcare, with a focus on translational research. Recent articles highlight advancements in fMRI classification using graph neural networks, privacy-preserving genomic pipelines, and edge-based deep learning for medical signal analysis. Awards and grants are not explicitly listed, but his sustained contribution to international research consortia underscores his field influence. He advises students and researchers on computational methodologies and hosts weekly office hours for academic consultations.

• Bioinformatics
• Computational Biology
• Pharmacogenomics
• +5 more

Thierry-Sainclair Njougouo is an Assistant Professor at the IMT School of Advanced Studies Lucca , affiliated with the NETWORKS Research Unit. His work bridges computational modeling with clinical applications in cardiovascular and gastrointestinal systems. Academic Rank: Assistant Professor Institution: IMT School of Advanced Studies Lucca Research Unit: NETWORKS Research Focus: Dr. Njougouo specializes in thermoelectric and electromechanical modeling of biological systems, with particular emphasis on: Cardiac action potential dynamics Intestinal motility mechanisms Temperature-dependent physiological responses Digital twin development for surgical prediction Myocardial microstructural analysis Clinical translation of computational models Publication Trends: Recent work reveals a progression from foundational bioheat models (2022) to advanced applications in surgical prediction (2024) and multi-organ thermoelectric systems (2025). The research demonstrates increasing integration of clinical parameters like body temperature variations and laser tissue soldering effects.

• Biomedical Engineering
• Computational Biology
• Cardiology
• +3 more

Prof. Leocani Annunziata Maria Letizia is an Associate Professor of Neurology at the Faculty of Medicine and Surgery, Università Vita Salute San Raffaele. She holds leadership roles in the Experimental Neurophysiology Unit at the San Raffaele Scientific Institute and has directed the Neurorehabilitation Unit at San Raffaele Hospital. With a Medical Degree (cum laude from University of Milan), a PhD in Human Physiology (Excellent), and specialization in Neurology (with honors), her expertise spans neurophysiological and imaging techniques for studying neurological changes in learning, aging, and neuroinflammatory/neurodegenerative diseases. Her research focuses on digital health technologies, including tele-neurophysiology, wearable devices for neurological monitoring, and clinical trials for MS treatments. She has pioneered remote monitoring tools like electronic cognitive assessments and OCT applications. With over 430 publications, her work intersects clinical neurology with technological innovation. She serves on international committees including the European Commission’s Medical Devices Panel and leadership roles in SINC (Italian Society of Clinical Neurophysiology) and EAN (European Academy of Neurology). Her educational contributions include teaching neurology courses and supervising doctoral programs in Cognitive Sciences and Neuroscience. Prof. Leocani’s translational research bridges clinical practice with technological advancements, emphasizing patient-centered approaches in neurorehabilitation and digital biomarkers for disease progression tracking.

• Neurology
• Neurophysiology
• Neurorehabilitation
• +7 more

Maria Cristina Acconcia serves as an Associate Professor at Sapienza University of Rome within the Department of Clinical, Internal, Anesthesiological and Cardiovascular Sciences. Her academic career focuses on advancing cardiovascular medicine through clinical research and evidence-based practice, with particular expertise in interventional cardiology and acute cardiac care. Her research portfolio spans critical areas including anticoagulation strategies for atrial fibrillation, Takotsubo syndrome pathophysiology, transcatheter aortic valve interventions, and innovative approaches to cardiogenic shock management. She frequently employs meta-analytic methodologies to evaluate treatment efficacy across diverse patient populations, with emphasis on real-world clinical outcomes and procedural safety. Analysis of her 15 most recent publications (2016-2023) reveals consistent thematic focus on interventional cardiology techniques, mechanical circulatory support systems, and pharmacological interventions for acute coronary syndromes. Key trends include comparative effectiveness research between transcatheter and surgical valve replacement, investigation of novel therapies like glutathione infusion and ivabradine, and exploration of environmental triggers in cardiac events such as earthquake-related stress responses. No scientific awards or honors are documented in the available institutional information. While her publication record demonstrates active research leadership, no details regarding student mentorship, grant funding, or laboratory affiliations are provided in the current institutional profile. Her professional activities appear centered on clinical research publication and departmental academic responsibilities.

• Cardiology
• Cardiovascular Medicine
• Interventional Cardiology
• +3 more

Meri Gjika is a PhD student in the Department of Information Engineering at Università Politecnica delle Marche, focusing on cardiovascular signal analysis, cardiac arrhythmias, and machine learning applications in cardiovascular care. Education: Bachelor's in Biomedical Engineering (July 2022), Università Politecnica delle Marche (thesis: impact of asthma on respiratory and electrocardiographic signals, QT interval variations) Master's in Biomedical Engineering cum laude (July 2024), Università Politecnica delle Marche (thesis: coronary artery resistance modeling for aortic-root fluid-dynamics and perfusion simulations) Research: Specializes in analyzing cardiovascular signals to study atrial fibrillation and other arrhythmias, leveraging machine learning and AI to develop predictive models for disease progression and personalized patient management. Her work includes computational hemodynamics and coronary blood flow dynamics through advanced numerical simulations. Experience: Completed an Erasmus+ internship at the Department of Cardiology, Erasmus Medical Center in Rotterdam (2024), focusing on vascular hemodynamics assessment for disease progression. Contact: Email m.gjika@pm.univpm.it , Office: Q170_053, Phone: +39 071 2204465.

• Biomedical Engineering
• Cardiovascular Signal Analysis
• Machine Learning
• +3 more

Eros Gian Alessandro Pasero is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) , Politecnico di Torino , and a member of the PolitoBIOMed Lab (Biomedical Engineering). He has held visiting Associate Professor roles at institutions including Tongji University and Turin Polytechnic University in Tashkent. His research spans artificial neural networks , medical image processing , and wearable devices , with applications in cardiology, industrial optimization, and environmental monitoring. His work focuses on ECG signal analysis for Brugada syndrome risk stratification, deep learning for biological imaging, LSTM models for photovoltaic forecasting, and transformer architectures in clinical diagnostics. He has pioneered the G-EXIN neural network for nonstationary data and Mini Green Radio Sonde for atmospheric sensing. Scientific Awards : Four Design-In Awards , Premio Innova S@alute2017 (TEVA), and President of SIREN (Italian Society of Neuronic Networks) since 2014. Research Projects : MUSMET (2024-2028): Musical Metaverse innovation lab via EU-EIC. ENTWINED (2023-2025): Neural digital twins for electrical drives. BrS-AI-ECG (2021-2024): AI in Brugada diagnostics (ERC). Patents : Inclusive sound card, wearable ECG device, and radio sonde technologies.

• Artificial Neural Networks
• Medical Image Processing
• Wearable Electronic Devices
• +6 more

Federico Bizzarri is a Professor at the Department of Medical-Surgical Sciences and Biotechnologies within Università degli Studi di Roma La Sapienza . His clinical and research focus spans cardiac surgery, interventional cardiology, and emergency medical-surgical interventions. Research Interests His work emphasizes: Diagnosis and surgical management of congenital heart defects (e.g., double-orifice mitral valve, aortopulmonary window) Emergency interventions for acute aortic syndromes, traumatic aortic rupture, and pulmonary embolism Minimally invasive and robotic cardiac surgery techniques Transcatheter valve therapies (TAVI, MitraClip, NeoChord) Mechanical complications of myocardial infarction Management of intra-aortic balloon pumps (IABP) in critical care Article Trends The publications highlight expertise in cardiovascular emergencies , innovative surgical techniques , and structural heart interventions . Subspecialties include congenital anomalies, valvular disease, and acute aortic pathologies.

• Cardiac Surgery
• Interventional Cardiology
• Aortic Emergencies
• +2 more

Chiara Fossati serves as a Fixed-term Researcher at the Department of Human and Health Sports Sciences, University of Rome "Foro Italico", under Article 24 of Law 240/2010. Based in room 29 at Piazza Lauro De Bosis 6, Rome, she maintains active roles in research coordination and teaching while leading the Sports Medicine Laboratory and Sports Medical and First Aid Service. Her research integrates Geriatrics, Sports Medicine, and Sports Cardiology with a focus on physical exercise for chronic disease prevention, successful aging, neurodegenerative disease mitigation, and oxidative stress mechanisms. This interdisciplinary approach bridges clinical medicine with athletic performance optimization, emphasizing evidence-based interventions for diverse populations from elite athletes to elderly individuals. Analysis of her 2021-2022 publications reveals consistent themes in cardiovascular adaptations to exercise, mental health synergies, anti-doping challenges during global crises, and age-related physiological changes. Her work demonstrates strong translational impact across sports cardiology, geriatric exercise science, and public health policy development. Dr. Fossati currently leads multiple funded initiatives including Ministry of Health research on erythropoiesis-stimulating substances detection, Campus Biomedico University collaborations on rotator cuff surgery rehabilitation protocols, Sapienza University partnerships investigating genetic cardiovascular risks in athletes, and adolescent scoliosis screening programs integrated with sports fitness evaluations. As Sports Medicine Laboratory Contact Person, she oversees critical infrastructure supporting athletic health monitoring, emergency response systems, and clinical research translation within the university's sports medicine ecosystem.

• Geriatrics
• Sports Medicine
• Sports Cardiology
• +5 more

Dr. Dagna Lorenzo is an Associate Professor of Internal Medicine at Vita-Salute San Raffaele University School of Medicine in Milan, Italy, and Head of the Unit of Immunology, Rheumatology, Allergy, and Rare Diseases at IRCCS San Raffaele Scientific Institute. She holds leadership roles including Coordinator of the Clinical Immunology and Rheumatology Unit and Co-Director of the European School of Internal Medicine (ESIM). Her expertise spans over 25 years in clinical and translational research, with a focus on autoimmune/autoinflammatory diseases, immunotherapy, and the interplay between infections and immunity. Education : Medical Doctor (MD) summa cum laude from Università degli Studi di Milano; Board Certified in Internal Medicine from Vita-Salute San Raffaele University. Research Interests : Pathogenesis and treatment of autoimmune/autoinflammatory diseases, immune-related adverse effects of cancer immunotherapy, Erdheim-Chester disease mechanisms, herpesvirus-induced vasculitides, γδ T lymphocyte function, and apoptosis pathways in autoimmune lymphoproliferative syndrome. Publications (432+ articles): Recent work focuses on VEXAS syndrome (clonal dominance mechanisms), systemic sclerosis complications, and novel therapies for giant cell arteritis and Takayasu arteritis. Highlights include studies on FDG-PET imaging for vasculitis prognosis and Doppler ultrasound for mesenteric ischemia assessment. Awards : Fellow of the American College of Physicians (ACP), Honorary Fellow of the European Federation of Internal Medicine (EFIM). Grants & Teams : Leads multidisciplinary teams in rare diseases and chairs the EFIM Rare Disease Working Group. Collaborates internationally on initiatives like the Erdheim-Chester Global Alliance and the National Board of Medical Examiners (NBME). Labs/Teams : Directs the Immunology Unit at San Raffaele Scientific Institute, focusing on translational research bridging clinical practice and molecular mechanisms.

• Autoimmune Diseases
• Immunotherapy
• Autoinflammatory Diseases
• +6 more

Giulia Rafaiani is a Research Fellow and PhD Student at the Department of Information Engineering (DII), Università Politecnica delle Marche. Her work focuses on privacy-preserving technologies, cyber risk assessment frameworks, and blockchain security. She holds a Master’s in Biomedical Engineering (cum laude) and completed her undergraduate studies in the same field at the same institution. Education: Bachelor’s in Biomedical Engineering, Università Politecnica delle Marche (2017) Master’s in Biomedical Engineering, Università Politecnica delle Marche (2020) PhD Student at DII, Università Politecnica delle Marche (2021–present) Research Interests: Blockchain security and decentralized systems Cyber risk quantification and mitigation Data protection in healthcare software Ethical challenges in AI and machine learning Key Projects: “CybeRAMA” Cyber Risk Assessment Project (2020–2021), funded by Cariverona Foundation PhD research on privacy-preserving blockchain applications Lab Affiliation: Department of Information Engineering labs at Università Politecnica delle Marche.

• Privacy and Data Protection
• Cyber Risk Assessment
• Blockchain Security
• +3 more

Anna Palmisano is an Associate Professor of Diagnostic Imaging and Radiotherapy at Vita-Salute San Raffaele University , Milan, Italy. She combines clinical expertise in diagnostic radiology with cutting-edge research in advanced imaging techniques for cardiovascular, oncological, and metabolic diseases. Education : Master's in Medicine (2010, summa cum laude), Specialization in Diagnostic Radiology (2016, summa cum laude), PhD in Molecular Medicine (2020). Her research focuses on multimodal imaging (CT/MRI) for tissue characterization, biomarker discovery, and artificial intelligence applications in cardiology and oncology. She has coordinated competitive projects like Trustworthy AI for Coronary Plaque Prediction (Regione Lombardia 2022) and Advanced Cardiac CT for TAVR Prognostication (PRIN-PNRR 2023). Recent publications highlight her work in cardiovascular imaging (e.g., myocarditis diagnostics via T2 mapping, arrhythmogenic risk in mitral valve prolapse), oncological radiomics , and AI-driven imaging platforms . Collaborations span the AI-hub Vita-Salute San Raffaele and the Preclinical Imaging Facility at IRCCS San Raffaele. Scientific Awards 2013 NIH Travel Grant 2018 Best Presentation at ESCR

• Advanced Imaging Techniques
• Cardiovascular Imaging
• Oncological Imaging
• +4 more