Sofia Mongardi
YOU?
Author Swipe
View article: BioGAN: Enhancing Transcriptomic Data Generation with Biological Knowledge
BioGAN: Enhancing Transcriptomic Data Generation with Biological Knowledge Open
The advancement of computational genomics has significantly enhanced the use of data-driven solutions in disease prediction and precision medicine. Yet, challenges such as data scarcity, privacy constraints, and biases persist. Synthetic d…
View article: Validation of life's simple 7 and life's essential 8 in a european cohort: the role of sleep in cardiovascular risk estimation
Validation of life's simple 7 and life's essential 8 in a european cohort: the role of sleep in cardiovascular risk estimation Open
Background Tools like the Life's Simple 7 (LS7), and the newly developed Life's Essential 8 (LE8) including sleep, can help estimate a person’s 10-year CVD risk. Nevertheless, recent studies in an American population showed minimal differe…
View article: Biologically weighted LASSO: enhancing functional interpretability in gene expression data analysis
Biologically weighted LASSO: enhancing functional interpretability in gene expression data analysis Open
Motivation Feature selection approaches are widely used in gene expression data analysis to identify the most relevant features and boost performance in regression and classification tasks. However, such algorithms solely consider each fea…
View article: 68Ga-Prostate-Specific Membrane Antigen PET Radiomics For the Prediction of PostSurgical International Society of Urological Pathology Grade in Patients with Primary Prostate Cancer
68Ga-Prostate-Specific Membrane Antigen PET Radiomics For the Prediction of PostSurgical International Society of Urological Pathology Grade in Patients with Primary Prostate Cancer Open
INTRODUCTION Radiomics has been proven effective for the characterisation of primary prostate cancer (PCa).1,2 However, the limited interpretability of the proposed models represents one of the major limitations in this field.3,4 This stud…
View article: External validation of a convolutional neural network for the automatic segmentation of intraprostatic tumor lesions on 68Ga-PSMA PET images
External validation of a convolutional neural network for the automatic segmentation of intraprostatic tumor lesions on 68Ga-PSMA PET images Open
Introduction State of the art artificial intelligence (AI) models have the potential to become a “one-stop shop” to improve diagnosis and prognosis in several oncological settings. The external validation of AI models on independent cohort…