Kidney Diseases: Challenges and Opportunities of the Third Millenium. How can digital health help the National Health System?


  • Antonio Bellasi UOC Ricerca, Innovazione e Brand reputation, ASST Papa Giovanni XXIII, Bergamo (Italy)
  • Biagio Di Iorio Department of Medicine, Nephrology and Dialysis, AORN San Giuseppe Moscati, Avellino (AV), Italy
  • Luca Di Lullo Department of Nephrology and Dialysis, “L. Parodi – Delfino” Hospital, Colleferro (RM), Italy



Artificial intelligence, CKD, Technologies

Author Biography

Antonio Bellasi, UOC Ricerca, Innovazione e Brand reputation, ASST Papa Giovanni XXIII, Bergamo (Italy)

Since medical school Dr Bellasi has developed a strong interest in mineral metabolism abnormalities and their impact on the cardiovascular system in Chronic Kidney Disease (CKD) as well as normal kidney function individuals. After various internships at University Hospitals in Spain, Sweden, and Italy, he graduated from the Medical School of the University of Milan, Italy, in October 2002. He finalized his post-graduate training in Nephrology and graduated from the University of Milan in November 2007. He attended a cardio-nephrology research fellowship at Tulane University in New Orleans (LA), U.S.A and at Emory University in Atlanta (GA), U.S.A.. Furthermore, Dr Bellasi successfully completed a master in Epidemiology and Statistics at the University of Milan in 2009 and a postgraduate doctorate in Physiopathology, Pharmacology and Therapy of Metabolic Diseases at the University of Milan

From 2009 to 2011, Dr Bellasi served as Nephrology consultant at Azienda Universitaria-Ospedaliera Sant’Orsola-Malpighi in Bologna, Italy. From April 2011 to June 2018 served as Nephrology consultant at Ospedale Sant’Anna, ASST-Lariana di Como, Italy. From July 1st 2018 he serves at the Research, Innovation and Brand Reputation and from November 1st 2018 he is the medical director of the Clinical Trial Center (CTC) at Ospedale di Bergamo, ASST Papa Giovanni XXIII, Bergamo, Italy.

He is a coauthor of more than 150 publications (H-index 30, i10-index 68, citation 4072, source: Google Scholar, September 24th, 2019 – ORCID 0000-0001-7830-1645) mainly focused on screening, imaging, prevention and treatment of vascular calcification and mineral metabolism abnormalities. Dr Bellasi is coauthor of more than 60 abstracts presented in numerous national and international meetings. His research has been published in journals as Kidney International, Nephrology Dialysis and Transplantation, clinical Journal of the American Society of Nephrology, Hypertension, American Journal of Cardiology, American Journal of Kidney Disease, Current Opinion in Nephrology and Hypertension and Current Opinion in Cardiology. Dr Bellasi has given more than 250 invited seminars/keynote presentations to a variety of Academic institutes and high-profile international conferences.

From 2012 to 2015 he was one of the member of the Steering Committee of the Cardionephrology Working Group of the Italian Society of Nephrology and from 2013 to 2016 he served as a board member of the Steering Committee of the Italian Society of Nephrology. Between 2014 and 2018, he served as one of the Board Member of the Steering Research Committee of the Italian Society of Nephrology and since 2017 he is a board memeber of the Ethic Committee of ATS Insubria. In 2018, he co-founded the Italian Association of Cardio-Nefrology.

Dr. Bellasi is also currently a reviewer for numerous journals and he has a served in the editorial board of numerous Journal in the field of Cardio-Nephrology. In 2014, he was appointed Editor in Chief of 2014 and 2018 he served as Editor in Chief of Nephrology@PointOfCare. Since 2017, he acts as Co Editor in Chief  of the Journal of Nephrology, and since 2018 as theme editor for CKD-MBD for Nephrology. In 2019 he was apointed associate editor of Atherosclerosis. Finally, he is an editorial board member of  Springer Nature Comprehensive Medicine and Giornale Italiano di Nefrologia. In June 2018, he was appointed guest editor of the special issue entitled “Clinical Symptoms, Diagnostics and Treatments of Chronic Kidney Diseases (CKD)” for the Journal of Clinical Medicine


Collaborators GBDRF; Forouzanfar MH, Alexander L, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386:2287–2323.

De Nicola L, Donfrancesco C, Minutolo R, et al. Prevalence and cardiovascular risk profile of chronic kidney disease in Italy: results of the 2008-12 National Health Examination Survey. Nephrol Dial Transplant. 2015;30:806–814.

Rashidi P, Bihorac A. Artificial intelligence approaches to improve kidney care. Nat Rev Nephrol. 2020;16:71–72.

Jommi C, Armeni P, Battista M, et al. The cost of patients with chronic kidney failure before dialysis: results from the IRIDE Observational Study. Pharmacoecon Open. 2018;2:459–467.

Karopadi AN, Mason G, Rettore E, Ronco C. Cost of peritoneal dialysis and haemodialysis across the world. Nephrol Dial Transplant. 2013;28:2553–2569.

Fagugli RM, Guastoni CM, Battistoni S, Patera F, Quintaliani G. [Acute Kidney Injury: the nephrology plus value and competence and a good organization can ameliorate the prognosis]. G Ital Nefrol. 2016;33:pii:gin/33.4.9.

Waikar SS, Curhan GC, Wald R, McCarthy EP, Chertow GM. Declining mortality in patients with acute renal failure, 1988 to 2002. J Am Soc Nephrol. 2006;17:1143–1150.

Fagugli RM, Patera F, Battistoni S, Mattozzi F, Tripepi G. Six-year single-center survey on AKI requiring renal replacement therapy: epidemiology and health care organization aspects. J Nephrol. 2015;28:339–349.

Meran S, Wonnacott A, Amphlett B, Phillips A. How good are we at managing acute kidney injury in hospital? Clin Kidney J. 2014;7:144–150.

Abraham KA, Thompson EB, Bodger K, Pearson M. Inequalities in outcomes of acute kidney injury in England. QJM. 2012; 105:729–740.

Meier P, Bonfils RM, Vogt B, Burnand B, Burnier M. Referral patterns and outcomes in noncritically ill patients with hospital-acquired acute kidney injury. Clin J Am Soc Nephrol. 2011;6:2215–2225.

Tomasev N, Glorot X, Rae JW, et al. A clinically applicable approach to continuous prediction of future acute kidney injury. Nature. 2019;572:116–119.

Adhikari L, Ozrazgat-Baslanti T, Ruppert M, et al. Improved predictive models for acute kidney injury with IDEA: intraoperative Data Embedded Analytics. PLoS One. 2019;14:e0214904.

Kuo CC, Chang CM, Liu KT, et al. Automation of the kidney function prediction and classification through ultrasound-based kidney imaging using deep learning. NPJ Digit Med. 2019;2:29.

Hermsen M, de Bel T, den Boer M, et al. Deep learning-based histopathologic assessment of kidney tissue. J Am Soc Nephrol. 2019;30:1968–1979.

Putra FR, Nursetyo AA, Thakur SS, et al. Prediction of clinical events in hemodialysis patients using an artificial neural network. Stud Health Technol Inform. 2019;264:1570–1571.



How to Cite

Bellasi A, Di Iorio B, Di Lullo L. Kidney Diseases: Challenges and Opportunities of the Third Millenium. How can digital health help the National Health System?. AboutOpen [Internet]. 2020 Mar. 9 [cited 2023 Jun. 8];7(1):1-3. Available from:
Received 2020-02-05
Accepted 2020-02-20
Published 2020-03-09