A5076326233- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Neuroblastoma Research and Treatments
- COVID-19 Clinical Research Studies
- Lung Cancer Research Studies
- Meningioma and schwannoma management
- Inflammasome and immune disorders
- Glioma Diagnosis and Treatment
- Neuroendocrine Tumor Research Advances
- Congenital heart defects research
- Autism Spectrum Disorder Research
- Genetics and Neurodevelopmental Disorders
- Atomic and Subatomic Physics Research
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Sarcoidosis and Beryllium Toxicity Research
- Long-Term Effects of COVID-19
Agostino Gemelli University Polyclinic
2023-2024
Università Cattolica del Sacro Cuore
2020-2022
Istituti di Ricovero e Cura a Carattere Scientifico
2020
The term autism spectrum disorder (ASD) includes a wide variability of clinical presentation, and this heterogeneity seems to reflect still unclear multifactorial etiopathogenesis, encompassing different genetic risk factors susceptibility environmental factors. Several studies many theories recognize as mechanisms disruption brain development maturation time course, suggesting the existence common neurobiological substrates, such defective synaptic structure aberrant connectivity. Magnetic...
Elevated inflammatory markers are associated with severe coronavirus disease 2019 (COVID-19), and some patients benefit from Interleukin (IL)-6 pathway inhibitors. Different chest computed tomography (CT) scoring systems have shown a prognostic value in COVID-19, but not specifically anti-IL-6-treated at high risk of respiratory failure. We aimed to explore the relationship between baseline CT findings conditions evaluate scores laboratory COVID-19 treated anti-IL-6. Baseline lung...
The Multidisciplinary Tumor Board (MTB) is a collaborative platform involving specialists in oncology, surgery, radiology, pathology, and radiotherapy, aims to optimize diagnostics treatments. Despite MTB's widespread benefits, limited literature addresses its application pediatric neuro-oncology. After revision on neuro-oncology MTB, our study describes institute's focuses evaluating impact the neuroradiologist's role patient-centric approaches, considering recent genetic insights into brain tumors.
<b>Methods:</b> We evaluated a deep learning algorithm (DL), for classifying HRCT based on ATS/ERS/JRS/ALAT IPF guideline criteria (SOFIA), among an international group of radiologists and pulmonologists. Participants HRCTs from 203 suspected patients, assigning likelihood score each the guideline-based categories (each 0-100%, summing to 100%). SOFIA scores were then provided, participants given opportunity revise their scores. Agreement (weighted kappa) prognostic accuracy (Cox regression...