Bernardo Abel Cedeño Veloz is a medical doctor and geriatrician currently holding a position as a specialist in Geriatrics at the University Hospital of Navarra (HUN). He also serves as a professor at the Public University of Navarra (UPNA). His educational background includes a Medical Degree from the University of Castilla La Mancha, obtained in 2013, and he earned his Doctor Cum Laude title from the Public University of Navarra in 2024. Concurrently with his clinical role, Cedeño Veloz has been a researcher at Navarrabiomed - IdiSNA, focusing on geriatrics, osteoporosis, and active aging. His research contributions have been recognized with several awards, including the Young Investigator Award at the 2023 World Congress on Osteoporosis, Artrosis and Musculoskeletal Diseases in Barcelona, an honor acknowledging him as the best young international researcher in musculoskeletal diseases associated with aging; and the grant GN2024/48 - Assessment of precision medicine with biomarkers in fracture risk prediction: a cohort study
Bernardo Abel Cedeño Veloz is a medical doctor and geriatrician currently holding a position as a specialist in Geriatrics at the University Hospital of Navarra (HUN). He also serves as a professor at the Public University of Navarra (UPNA). His educational background includes a Medical Degree from the University of Castilla La Mancha, obtained in 2013, and he earned his Doctor Cum Laude title from the Public University of Navarra in 2024. Concurrently with his clinical role, Cedeño Veloz has been a researcher at Navarrabiomed - IdiSNA, focusing on geriatrics, osteoporosis, and active aging. His research contributions have been recognized with several awards, including the Young Investigator Award at the 2023 World Congress on Osteoporosis, Artrosis and Musculoskeletal Diseases in Barcelona, an honor acknowledging him as the best young international researcher in musculoskeletal diseases associated with aging; and the grant GN2024/48 - Assessment of precision medicine with biomarkers in fracture risk prediction: a cohort study