A5087852031- Multiple Myeloma Research and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Hepatocellular Carcinoma Treatment and Prognosis
- Soft tissue tumor case studies
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Sarcoma Diagnosis and Treatment
- Congenital Diaphragmatic Hernia Studies
- Respiratory viral infections research
- Tracheal and airway disorders
- Oral and Maxillofacial Pathology
- Medical Imaging and Pathology Studies
- Colorectal Cancer Treatments and Studies
University of Genoa
2019-2025
Background: Primary lung tumors in pediatric patients are rare, predominantly malignant, and present diagnostic challenges due to symptom overlap with more common conditions such as inflammatory processes or asthma. Evidence-based approaches for managing these rare neoplasms childhood scarce. This retrospective study reports the experience of a referral center diagnosing treating tumors. Methods: Pediatric primary treated at Giannina Gaslini Children's Hospital between January 2016 2024 were...
Enterovirus (EV) infections in neonates can be transmitted vertically or horizontally, with symptoms ranging from mild to severe, including myocarditis, meningoencephalitis, and hepatitis. Neonates EV-induced myocarditis may present severe cardiovascular disease sudden onset of arrhythmia. Neonatal arrhythmias, particularly low birth weight critically ill infants, impair cardiac function worsen outcomes. EV targets cardiomyocyte receptors, inducing apoptosis pathways triggering conduction...
Multiple Myeloma (MM) is a blood cancer implying bone marrow involvement, renal damages and osteolytic lesions. The skeleton involvement of MM at the core present paper, exploiting radiomics artificial intelligence to identify image-based biomarkers for MM. Preliminary results show that associated an extension intrabone volume whole body machine learning can CT image features mostly correlating with disease evolution. This computational approach allows automatic stratification patients...
Infantile myofibromatosis (IM) is a rare disorder characterized by benign tumors in the skin, subcutaneous tissue, muscle, and occasionally viscera. IM can be hereditary due to PDGFRB or NOTCH3 variants. Treatment mainly conservative surgical. Combination regimens have been used case of disseminated disease.
Multiple Myeloma (MM) is a blood cancer implying bone marrow involvement, renal damages and osteolytic lesions. The skeleton involvement of MM at the core present paper, exploiting radiomics artificial intelligence to identify image-based biomarkers for MM. Preliminary results show that associated an extension intrabone volume whole body machine learning can CT image features mostly correlating with disease evolution. This computational approach allows automatic stratification patients...