[HTML][HTML] A machine learning approach to identify groups of patients with hematological malignant disorders

P Rodríguez-Belenguer, JL Piñana… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective Vaccination against SARS-CoV-2 in
immunocompromised patients with hematologic malignancies (HM) is crucial to reduce the …

[HTML][HTML] COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian …

B Mamandipoor, RR Bruno, B Wernly, G Wolff… - PLOS digital …, 2022 - journals.plos.org
Background COVID-19 remains a complex disease in terms of its trajectory and the diversity
of outcomes rendering disease management and clinical resource allocation challenging …

[HTML][HTML] Frailty, comorbidity, and associations with in-hospital mortality in older COVID-19 patients: exploratory study of administrative data

J Heyl, F Hardy, K Tucker, A Hopper… - Interactive Journal of …, 2022 - i-jmr.org
Background: Older adults have worse outcomes following hospitalization with COVID-19,
but within this group there is substantial variation. Although frailty and comorbidity are key …

[HTML][HTML] Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The …

MC Malaguti, L Gios, B Giometto, C Longo, M Riello… - Plos one, 2024 - journals.plos.org
Background The burden of Parkinson Disease (PD) represents a key public health issue
and it is essential to develop innovative and cost-effective approaches to promote …

[HTML][HTML] Critical care in older adults: Research landscape and hotspots from a bibliometric perspective

Z Du, F Li, T Wang - Medicine, 2024 - journals.lww.com
As the population ages, there will be an increasing demand for health care resources,
particularly in intensive care. Therefore, critically ill older adults are receiving increasing …

[HTML][HTML] Assessing the effects of therapeutic combinations on SARS-CoV-2 infected patient outcomes: A big data approach

H Moradi, HT Bunnell, BS Price, M Khodaverdi… - Plos one, 2023 - journals.plos.org
Background The COVID-19 pandemic has demonstrated the need for efficient and
comprehensive, simultaneous assessment of multiple combined novel therapies for viral …

L'intelligenza artificiale come nuova frontiera dei diritti fondamentali

L Rinaldi - 2023 - iris.unitn.it
The thesis examines the technological innovations related to artificial intelligence from the
point of view of fundamental rights. The first part gives a general introduction on the …

A Comparative Analysis of D-Dimer and Interleukin-6 Levels in COVID-19 Survivors: Implications for Long-term Outcomes

A Handayati, J Nugraha… - … International Conference of …, 2023 - atlantis-press.com
Several studies have investigated the association between D-Dimer and Interleukin-6 levels
in COVID-19 patients. Nikkhoo et al. conducted a longitudinal prospective cohort study to …

[PDF][PDF] COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian …

B Mamandipoor, RR Bruno, B Wernly, G Wolff… - 2022 - portalwiedzy.cm-uj.krakow.pl
Background COVID-19 remains a complex disease in terms of its trajectory and the diversity
of outcomes rendering disease management and clinical resource allocation challenging …