News

• Is it possible to reliably estimate through an #AI approach the longitudinal changes in #VO2max from #Holter #ECG, without performing the exercise test?
  This is what we demonstrated in this “just published” study on #npj #Microgravity, using Holter ECG data we collected along 15 years of participation to #ESA head-down #bedrest campaigns, thanks to Agenzia Spaziale Italiana funding. Possible applications include measurements on #astronauts during flight, as well as on #bedridden patients.Solbiati S, Fiorentino MC, Bendandi R, Moccia S, Caiani EG. AI-based Prediction of VO2 max from 24-Hour Holter ECG Recording. NpJ Microgravity 2025  https://doi.org/10.1038/s41526-025-00542-4

OLD NEWS

• We got accepted FOUR submissions for the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2025: 1) Mahakalkar A, Gilardi G, Erbertseder T, Baier F, Gianquintieri L, Caiani EG.         Can short-term exposure to air pollution trigger acute health effects in a region with low pollutant concentrations? 2) Dui LG, Donati A, Tauro E, Fontolan S, Toffoli S, Caiani EG, Campi A, Termine C, Ferrante S. Machine Learning to improve the access to the clinical pathway for children with specific learning disabilities. 3) Gianquintieri L, Caiani EG. A New Geospatial Vulnerability Index for Territorial Risk Stratification of Out-of-Hospital Cardiac Arrest During Heat Days. 4) Gianquintieri L, Sala E, Caiani EG. Machine Learning-Based Demand Prediction for Emergency Medical Services.
• The three following abstracts based on the IntakeCare platform we developed, have been accepted for presentation at the upcoming European Association Preventive Cardiology annual Conference (Milan, April 3-5 2025) 1) Croce A, Vigore M, Pengo MF, Zambon A, Soranna D, Ciotta A, Caiani EG, Tauro E, Zanotti L, Gorini A, Parati G, Bilo G. Tailored interventions to improve adherence to antihypertensive treatment and reduce blood pressure: findings from a systematic review and meta-analysis. 2) Tauro E, Zanotti L, Croce A, Vigore M, Pengo M, Gorini A, Parati G, Caiani EG, Bilo G. A pilot usability study of smart virtual assistants to monitor medication adherence in chronic patients. 3) Vigorè M, Tauro E, Bilo G, Caiani EG, Zanotti L, GoriniA. Understanding patient profiles to promote adherence: a persona-based design for hyperthension.
• Dr Sarah Solbiati is presenting our results obtained during isolation studies at the ESA-ASI Isolation / confinement studies for human space exploration workshop, Rome, 31/3-3/4 2025 (https://www.asi.it/wp-content/uploads/2024/12/PROGRAMMA_WS_ISOLATION.pdf)