Micaela Morettini
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Explore the profile of Micaela Morettini including associated specialties, affiliations and a list of published articles.
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71
Citations
268
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Recent Articles
1.
Bruschi G, Sbrollini A, Pecci F, Cognigni V, Paoloni F, Galassi T, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40039199
Tumor-Infiltrating Lymphocytes (TIL) are emerging as immunotherapy prognostic markers. Currently, TIL are assessed on hematoxylin and eosin (H&E)-stained slides of tumor tissue by pathologists. This approach is time-consuming, and subjected...
2.
Bruschi G, Vassallo F, Sbrollini A, Morettini M, Burattini L
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40038981
Due to its complexity and time-consuming nature, identifying gliomas at the Magnetic Resonance Imaging (MRI) slice-level before segmentation could assist clinicians in minimizing the time required for this procedure. In...
3.
Verdini F, Mengarelli A, Chemello G, Salvatori B, Morettini M, Gobl C, et al.
Biosensors (Basel)
. 2025 Feb;
15(2).
PMID: 39996975
Diabetic foot syndrome is a multifactorial disease involving different etiological factors. This syndrome is also insidious, due to frequent lack of early symptoms, and its prevalence has increased in recent...
4.
Del Giudice L, Piersanti A, Gobl C, Burattini L, Tura A, Morettini M
J Diabetes Sci Technol
. 2025 Feb;
:19322968251316896.
PMID: 39953711
Background: Poor data availability and accessibility characterizing some research areas in biomedicine are still limiting potentialities for increasing knowledge and boosting technological advancement. This phenomenon also characterizes the field of...
5.
Sbrollini A, Leoni C, Morettini M, Swenne C, Burattini L
Heliyon
. 2025 Jan;
11(1):e41195.
PMID: 39834449
Background: Deep-learning applications in cardiology typically perform trivial binary classification and are able to discriminate between subjects affected or not affected by a specific cardiac disease. However, this working scenario...
6.
Iammarino E, Marcantoni I, Sbrollini A, Mortada M, Morettini M, Burattini L
Sensors (Basel)
. 2024 Jul;
24(14).
PMID: 39066076
Electroencephalography (EEG) wearable devices are particularly suitable for monitoring a subject's engagement while performing daily cognitive tasks. EEG information provided by wearable devices varies with the location of the electrodes,...
7.
Salvatori B, Wegener S, Kotzaeridi G, Herding A, Eppel F, Dressler-Steinbach I, et al.
Diabetologia
. 2024 May;
67(8):1552-1566.
PMID: 38801521
Aims/hypothesis: Gestational diabetes mellitus (GDM) is a heterogeneous condition. Given such variability among patients, the ability to recognise distinct GDM subgroups using routine clinical variables may guide more personalised treatments....
8.
Piersanti A, Pacini G, Tura A, DArgenio D, Morettini M
Sci Rep
. 2024 May;
14(1):10936.
PMID: 38740832
The aim of this study was to develop a dynamic model-based approach to separately quantify the exogenous and endogenous contributions to total plasma insulin concentration and to apply it to...
9.
Andreozzi F, Mancuso E, Rubino M, Salvatori B, Morettini M, Monea G, et al.
Front Endocrinol (Lausanne)
. 2024 Apr;
15:1376530.
PMID: 38681771
Background/objectives: Glucagon is important in the maintenance of glucose homeostasis, with also effects on lipids. In this study, we aimed to apply a recently developed model of glucagon kinetics to...
10.
Giordano N, Sbrollini A, Morettini M, Rosati S, Balestra G, Gambi E, et al.
Bioengineering (Basel)
. 2024 Apr;
11(4).
PMID: 38671788
Timely and reliable fetal monitoring is crucial to prevent adverse events during pregnancy and delivery. Fetal phonocardiography, i.e., the recording of fetal heart sounds, is emerging as a novel possibility...