Nanotechnology and nanobots unleashed: pioneering a new era in gynecological cancer management - a comprehensive review.

Introduction: Gynecological cancers, such as ovarian, cervical, and endometrial malignancies, are notoriously challenging due to their intricate biology and the critical need for precise diagnostic and therapeutic approaches. In recent years, groundbreaking advances in nanotechnology and nanobots have emerged as game-changers in this arena, offering the promise of a new paradigm in cancer management. This comprehensive review delves into the revolutionary potential of these technologies, showcasing their ability to transform the landscape of gynecological oncology.

The Relationship Between Predisposing Risk Factors and COVID-19: An Observational Study.

Background Numerous risk factors have been identified for developing severe COVID-19, including sociodemographic variables and concomitant diseases. Individuals with underlying comorbidities such as diabetes, hypertension, asthma, and coronary artery disease are at a greater risk of severe illness and death. This study aimed to observe the association between risk factors and the severity of COVID-19.

Genome sequence of bovine herpesvirus 5 (BoHV-5) isolate from India.

Recently, we identified bovine herpesvirus 5 (BoHV-5) in a vaginal swab from aborted cattle. It was unusual in two aspects: first, its association with abortion (it is otherwise mainly associated with encephalitis), and second, it is the first report from India (as it is mostly restricted to South American countries). In this study, we conducted the genome sequencing of the BoHV-5 isolate and provided insights into its phylogenetic relationships with other BoHV-5 strains.

Demonstration of Enhancement of Tumor Intravasation by Dicarbonyl Stress Using a Microfluidic Organ-on-chip.

Cancer metastasis involves cell migration from their primary organ foci into vascular channels, followed by dissemination to prospective colonization sites. Vascular entry of tumor cells or intravasation involves their breaching stromal and endothelial extracellular matrix (ECM) and the endothelial barriers. How the kinetics of this breach are confounded by chronic inflammatory stresses seen in diabetes and aging remains ill-investigated.

Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole Slide Images.

Intratumor heterogeneity (ITH) presents challenges for precision oncology, but methods for its spatial quantification, scalable at population levels, do not exist. Based on previous work showing that admixture of PAM50 subtype can be measured from bulk tissue using transcriptomic data, we trained a deep neural network (DNN) to quantify subtype ITH in Luminal A (LumA) breast cancer from routinely-stained whole slide images. We tested the hypothesis that subtype admixture detected in images was associated with tumor aggressiveness and adverse outcome.