A5073196236- Digital Imaging for Blood Diseases
- AI in cancer detection
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- COVID-19 epidemiological studies
- Biomedical Text Mining and Ontologies
- SARS-CoV-2 and COVID-19 Research
- Mycobacterium research and diagnosis
- Nutrition, Genetics, and Disease
- Antibiotics Pharmacokinetics and Efficacy
- Microfluidic and Capillary Electrophoresis Applications
- COVID-19 Clinical Research Studies
- Generative Adversarial Networks and Image Synthesis
- Bioinformatics and Genomic Networks
- Radiomics and Machine Learning in Medical Imaging
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Biosimilars and Bioanalytical Methods
University of Bologna
2023-2025
Histopathology involves the analysis of microscopic tissue images for diagnosing and studying progress diseases, such as cancers. Recently, Artificial Intelligence algorithms reached encouraging success in diseases related to these medical images. However, research this area can be hampered by several problems. Indeed, due sensitive nature data, it is challenging access real datasets, making impossible train Deep Learning models. Moreover, datasets often contain biases or imbalances that...
The analysis of omics data has revolutionized biology, leading to a better understanding complex diseases and enabling the implementation personalized medicine. Nevertheless, scarcity caused by limited patient availability privacy-related issues continues be significant bottleneck hindering further advancements in field. In this context, generating synthetic provides promising tool for overcoming these limitations. review, we systematically review approaches derived from sequencing. We...
Abstract This is a retrospective cohort study aimed at identifying the risk factors for hospitalization of patients with COVID-19 in municipality Bologna. A total 32500 that tested positive from February 28/2020 to October 13/2021 Bologna were included. The Kaplan-Meier method was used estimate changes during time ICU all as well stratifying subjects by sex. multi-state Cox’s proportional hazard model fitted investigate predictors and non-ICU hospitalization. Age, sex, calendar period...