The use of network analysis as a tool has increased exponentially as more clinical researchers see the benefits of network data for modeling of infectious disease transmission or translational activities in a variety of areas, including patient-caregiving teams, provider networks, patient-support networks, and adoption of health behaviors or treatments, to name a few. Yet, relational data such as network data carry a higher risk of deductive disclosure. Cases of reidentification have occurred and this is expected to become more common as computational ability increases.
View Article and Find Full Text PDFGlioblastoma (GBM) is a highly aggressive brain tumor known for its resistance to standard treatments. Despite surgery being a primary option, it often leads to incomplete removal and high recurrence rates. Photodynamic therapy (PDT) holds promise as an adjunctive treatment, but safety concerns and the need for high-power lasers have limited its widespread use.
View Article and Find Full Text PDFPolydopamine nanoparticles (PDA NPs) are proposed as an anti-cancer tool against hepatocellular carcinoma through the combination of near-infrared (NIR)-mediated hyperthermia and loading with a chemotherapeutic drug, sorafenib (SRF). Cell membranes isolated from a liver cancer cell line (HepG2) have been exploited for the coating of the nanoparticles (thus obtaining CM-SRF-PDA NPs), to promote homotypic targeting toward cancer cells. The selective targeting ability and the combined photothermal and chemotherapeutic activity of the CM-SRF-PDA NPs following NIR irradiation have been evaluated on cell cultures in static and dynamic conditions, besides three-dimensional culture models.
View Article and Find Full Text PDFCurr Epidemiol Rep
December 2023
Purpose Of Review: Preparing for pandemics requires a degree of interdisciplinary work that is challenging under the current paradigm. This review summarizes the challenges faced by the field of pandemic science and proposes how to address them.
Recent Findings: The structure of current siloed systems of research organizations hinders effective interdisciplinary pandemic research.