A5025699386- Radiomics and Machine Learning in Medical Imaging
- Business Process Modeling and Analysis
- Medical Imaging Techniques and Applications
- Semantic Web and Ontologies
- Advanced X-ray and CT Imaging
- Colorectal Cancer Surgical Treatments
- Data Quality and Management
- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- Lung Cancer Diagnosis and Treatment
- Advanced Radiotherapy Techniques
- Blood Pressure and Hypertension Studies
- AI in cancer detection
- Hemodynamic Monitoring and Therapy
- Biomedical Text Mining and Ontologies
- Glioma Diagnosis and Treatment
- Clinical practice guidelines implementation
- Privacy-Preserving Technologies in Data
- Colorectal Cancer Screening and Detection
- MRI in cancer diagnosis
- Sarcoma Diagnosis and Treatment
- Artificial Intelligence in Healthcare and Education
- Heart Rate Variability and Autonomic Control
- Cardiovascular Health and Disease Prevention
- Healthcare Operations and Scheduling Optimization
University of Brescia
2013-2025
Agostino Gemelli University Polyclinic
2017-2025
Istituti di Ricovero e Cura a Carattere Scientifico
2018-2025
Brescia University
2007-2024
University of Lausanne
2021-2023
University Hospital of Lausanne
2020-2022
Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia
2013-2022
Philips (Netherlands)
2022
Università Cattolica del Sacro Cuore
2014-2021
University Hospital Carl Gustav Carus
2020
The image biomarker standardisation initiative (IBSI) is an independent international collaboration which works towards standardising the extraction of biomarkers from acquired imaging for purpose high-throughput quantitative analysis (radiomics). Lack reproducibility and validation studies considered to be a major challenge field. Part this lies in scantiness consensus-based guidelines definitions process translating into biomarkers. IBSI therefore seeks provide nomenclature definitions,...
Process mining techniques can be used to analyse business processes using the data logged during their execution. These are leveraged in a wide range of domains, including healthcare, where it focuses mainly on analysis diagnostic, treatment, and organisational processes. Despite huge amount generated hospitals by staff machinery involved healthcare processes, there is no evidence systematic uptake process beyond targeted case studies research context. When developing distinguishing...
Immune checkpoint inhibitors (ICIs) have revolutionised cancer therapy but frequently cause immune-related adverse events (irAEs). Description of late-onset and duration irAEs in the literature is often incomplete.To investigate reporting incidence long-lasting irAEs, we reviewed all registration trials leading to ICI's approval by US FDA and/or EMA up December 2019. We analysed real-world data from lung (LC) melanoma (Mel) patients treated with approved ICIs at University Hospital Lausanne...
Aim of this study was to develop a generalised radiomics model for predicting pathological complete response after neoadjuvant chemo-radiotherapy in locally advanced rectal cancer patients using pre-CRT T2-weighted images acquired at 1.5 T and 3 scanner.In two institutions, 195 were scanned: 136 scanned on MR scanner, 59 scanner. Gross tumour volumes delineated the 496 radiomic features extracted, applying intensity-based (IB) filter. Features standardised with Z-score normalisation an...
In the age of Evidence-Based Medicine, Clinical Guidelines (CGs) are recognized to be an indispensable tool support physicians in their daily clinical practice. Medical Informatics is expected play a relevant role facilitating diffusion and adoption CGs. However, past pioneering approaches, often fragmented many disciplines, did not lead solutions that actually exploited hospitals. Process Mining for Healthcare (PM4HC) emerging discipline gaining interest healthcare experts, seems able deal...
Artificial intelligence (AI) is emerging as a discipline capable of providing significant added value in Medicine, particular radiomic, imaging analysis, big dataset and also for generating virtual cohort patients. However, coping with chronic myeloid leukemia (CML), considered an easily managed malignancy after the introduction TKIs which strongly improved life expectancy patients, AI still its infancy. Noteworthy, findings initial trials are intriguing encouraging, both terms performance...
Abstract Background Artificial intelligence (AI) has become a pivotal tool in advancing contemporary personalised medicine, with the goal of tailoring treatments to individual patient conditions. This heightened demand for access diverse data from clinical practice and daily life research, posing challenges due sensitive nature medical information, including genetics health Regulations like Health Insurance Portability Accountability Act (HIPAA) U.S. General Data Protection Regulation (GDPR)...
Decision Support Systems (DSSs) are increasingly exploited in the area of prognostic evaluations. For predicting effect therapies on patients, trend is now to use image features, i.e. information that can be automatically computed by considering images resulting analysis. The DSSs application as predictive tools particularly suitable for cancer treatment, given peculiarities disease -which highly localised and lead significant social costs- large number available each patient. At state art,...
In a previous preliminary study, radiomic features from the largest and hottest lesion in baseline 18F-FDG PET/CT (bPET/CT) of classical Hodgkin's Lymphoma (cHL) predicted early response-to-treatment prognosis. Aim this large retrospectively-validated study is to evaluate predictive role two-lesions radiomics comparison with other clinical conventional models. cHL patients bPET/CT between 2010 2020 were retrospectively included randomized into training-validation sets. Target lesions were:...
Background: Patients with low tumour burden follicular lymphoma (FL) are managed an initial watchful waiting (WW) approach. The way to better predict the time-to-treatment (TTT) is still under investigation for its possible clinical impact. This study explored whether radiomic features extracted from baseline 18F-FDG PET/CT could TTT in FL patients on WW. Methods: Thirty-eight WW (grade 1–3a) were retrospectively included 2010 2019. Eighty-one morphological and first-level intensity total...
It has been suggested that measurement of unattended or automated oscillatory blood pressure (BP) values may provide advantages over conventional BP measurement. Some international guidelines now suggest as the preferred approach for measuring BP. Data on relationship between and cardiovascular events are much less solid compared to those obtained with standard approach; preliminary data might be more strictly correlated organ damage. The aim our study was evaluate attended damage in 564...
The aim of this retrospective study was to investigate the ability 18 fluorine-fluorodeoxyglucose positron emission tomography/CT (18F-FDG-PET/CT) metrics and radiomics features (RFs) in predicting final diagnosis solitary pulmonary nodules (SPN). We retrospectively recruited 202 patients who underwent a 18F-FDG-PET/CT before any treatment two PET scanners. After volumetric segmentation each lung nodule, 8 42 RFs were extracted. All tested for significant differences between performances all...
Abstract: Diagnosis and treatment of locally advanced rectal cancer is mainly based on multimodal approach for staging, planning treatment. The modern radiological imaging techniques offer, day after day, the possibility to characterize tumor lesions in a more precise prognostically valuable way. In cancer, extending often characterization colon literature offers some evidences that quantitative "radiomics" analysis images might improve prognostic evaluation patients' characterization....
The widespread adoption of real-time location systems is boosting the development software applications to track persons and assets in hospitals. Among vast amount applications, operating rooms have advantage grounding advanced data analysis techniques improve surgical processes, such as process mining. However, still find entrance barriers clinical context. In this paper, we aim evaluate preferred features a mining-based dashboard deployed hospital equipped with system. allows discover...