01/2024 - Opportunities and tradeoffs in single-cell transcriptomic technologies
Recent technological and algorithmic advances enable single-cell transcriptomic analysis with remarkable depth and breadth. Nonetheless, a persistent challenge is the compromise between the ability to profile high numbers of cells and the achievement of full-length transcript coverage. Currently, the field is progressing and developing new and creative solutions that improve cellular throughput, gene detection sensitivity […]
12/2023 - Evaluating Messaging on Prenatal Health Behaviors Using Social Media Data: Systematic Review
Background:Social media platforms are increasingly being used to disseminate messages about prenatal health. However, to date, we lack a systematic assessment of how to evaluate the impact of official prenatal health messaging and campaigns using social media data. Objective:This study aims to review both the published and gray literature on how official prenatal health messaging […]
11/2023 - Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance
Personalized medicine is the future of medical practice. In oncology, tumor heterogeneity assessment represents a pivotal step for effective treatment planning and prognosis prediction. Despite new procedures for DNA sequencing and analysis, non-invasive methods for tumor characterization are needed to impact on daily routine. On purpose, imaging texture analysis is rapidly scaling, holding the promise […]