Publications by authors named "S De Marzi"
Article Synopsis
- Researchers used advanced computational models to explore how different histone marks affect gene expression but found previous approaches missed important factors like cell state and histone function.
- The study examined seven histone marks in eleven cell types and discovered that no single histone mark consistently predicts gene expression, emphasizing the importance of considering histone function, genomic distance, and cellular context together.
- The research also included simulations that revealed potential disease-related genetic loci and suggested new ways to leverage deep learning models for further biological discoveries.
This large multicenter study of 37 magnetic resonance imaging scanners aimed at characterizing, for the first time, spatial profiles of inaccuracy (namely, Δ-profiles) in apparent diffusion coefficient (ADC) values with varying acquisition plan orientation and diffusion weighting gradient direction, using a statistical approach exploiting unsupervised clustering analysis. A diffusion-weighted imaging (DWI) protocol (b-value: 0-200-400-600-800-1000 s mm) with different combinations of acquisition plan orientation (axial/sagittal/coronal) and diffusion weighting gradient direction (anterior-posterior/left-right/feet-head) was acquired on a standard water phantom. For each acquisition setup, Δ-profiles along the 3 main orthogonal directions were characterized by fitting data with a second order polynomial function ().
View Article and Find Full Text PDFPurpose: To evaluate the ability of magnetic resonance imaging (MRI)-based clustering analysis to predict the pathological response to neoadjuvant chemotherapy (NACT) in patients with primary high-grade osteosarcoma.
Materials And Methods: Twenty-two patients were included in this retrospective study. All patients underwent MRIs before and after NACT.
Background: First aim was to compare ddPCR assays of ctHPVDNA with p16 IHC and qualitative HPV PCR. Second aim was to carry out longitudinal blood sampling to test for association of ctHPVDNA with histological confirmed recurrence. Third aim was to perform a multidimensional assessment which included: (1) clinical features; (2) ctHPVDNA; (3) MRI-based tumor size measurements of primary tumor (PT) and cervical lymph node metastases (CLNM).
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