Liquid biopsy is an innovative, minimally invasive diagnostic tool revolutionizing cancer management by enabling the detection and analysis of cancer-related biomarkers from bodily fluids such as blood, urine, or cerebrospinal fluid. Unlike traditional tissue biopsies, which require invasive procedures, liquid biopsy offers a more accessible and repeatable method for tracking cancer progression, detecting early-stage cancers, and monitoring therapeutic responses. The technology primarily focuses on analyzing circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and other cancer-derived genetic materials.
View Article and Find Full Text PDFThe five-membered oxazole motif heterocyclic aromatic ring has been gaining considerable attention due to its bioisosterism property and unusually wide range of desired biological properties. Thus, it is a perfect pre-built platform for the discovery of new scaffold development in medicinal chemistry. In recent years, the potential of oxazoles has garnered significant attention from medicinal chemists, resulting in the development of several synthetic and plant-based drugs currently in the market.
View Article and Find Full Text PDFThe present work reports a clear and improved hydrothermal methodology for the synthesis of MoSe nanoflowers (MNFs) at 210 °C. To observe the effect of temperature on the fascinating properties, the process temperature was modified by ±10 °C. The as-prepared MNFs were found to consist of 2D nanosheets, which assembled into a 3D flower-like hierarchical morphology van der Waals forces.
View Article and Find Full Text PDFIntroduction: In Uttar Pradesh, India, there are many fatal head injuries as a result of road traffic accidents (RTAs). Studying the pattern and distribution of intracranial hemorrhages, a frequent complication of severe head trauma might provide vital information on the efficacy of traffic safety regulations. To improve road safety tactics and lower fatal head injuries in Uttar Pradesh, this study intends to assess the effect of road safety measures on the frequency and distribution of intracranial hemorrhages in fatal head injury patients.
View Article and Find Full Text PDFClassification of adenocarcinoma (AC) and squamous cell carcinoma (SCC) poses significant challenges for cytopathologists, often necessitating clinical tests and biopsies that delay treatment initiation. To address this, we developed a machine learning-based approach utilizing resected lung-tissue microbiome of AC and SCC patients for subtype classification. Differentially enriched taxa were identified using LEfSe, revealing ten potential microbial markers.
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