Barbati Giulia
Giulia Barbati
Staff/Student ID number:
13474
Title:
Prof.
Phone:
040 558 7334
Email:
Personal details (contacts, publications, cv, etc...)
Position:
Associate professor
Field:
Medical Statistics
Activities:
Department's Board - Member
Departmental team, group, staff for the Quality Assurance of the University - Member
Boards of Studies - Member
Teaching staff - Teaching staff
Research Group - Member
| Programme Description | Position |
|---|---|
| Boards of Studies - Member | |
| Nursing | Boards of Studies - Member |
| Medicine | Boards of Studies - Member |
| SSM07 - CARDIOVASCULAR DISEASE | Boards of Studies - Member |
| SSM19 - DIGESTIVE DISEASES | Boards of Studies - Member |
| SSM20 - SPORTS MEDICINE AND EXERCISE | Boards of Studies - Member |
| SSM16 - RADIOLOGY | Boards of Studies - Member |
| SSM13 - ORTHOPAEDICS AND TRAUMATOLOGY | Boards of Studies - Member |
| SSM08 - OCCUPATIONAL MEDICINE | Boards of Studies - Member |
| M120 - COMMUNITY AND GERIATRIC NURSING | Boards of Studies - Member |
| ME19 - HEALTH ASSISTANCE | Boards of Studies - Member |
| Boards of Studies - Member | |
| ME19 - HEALTH ASSISTANCE | Boards of Studies - Member |
| SSM27 - MEDICINE AND PALLIATIVE CARE | Boards of Studies - Member |
| ME05 - NURSING AND MIDWIFERY SCIENCES | Boards of Studies - Member |
| M232 - CLINICAL MANAGEMENT OF CARDIOMYOPATHIES | Boards of Studies - Member |
| ME06 - HEALTH PROFESSIONS OF REHABILITATION SCIENCES | Boards of Studies - Member |
Research Groups
| Research Group | Research Area | Research Strand |
|---|---|---|
| Unità di Biostatistica | ||
| Gruppo di Studio sull’Intelligenza Artificiale in Cardiologia | ||
| Gruppo di Studio sull’Amiloidosi Cardiaca | ||
| Gruppo di Studio per la Ricerca in Cardiomiopatie |
| Research Project | Position | Status of Research Project |
|---|---|---|
| Dyskalemia in chronic heart failure: prevalence, predictors and outcome. An observational cohort study from community setting. | Research projects - Scientific Actor; | Active |
| Studio osservazionale retrospettivo INCLISIRAN | Research projects - Scientific Actor; | Closed |
| Type 2 diabetics at highest risk for heart failure: a deep learning predictive model | Research projects - Scientific Actor; | Active |
| Studio di coorte retrospettivo osservazionale per valutare la prevalenza di pazienti eleggibili al trattamento con PCSK9 inibitori | Research projects - Scientific Actor; | Closed |
Last update: 10-22-2025 - 20:30
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