Efforts have been made to leverage technology to accurately identify tumor characteristics and predict how each cancer patient may respond to medications. This involves collecting data from various sources such as genomic data, histological information, functional drug profiling, and drug metabolism using techniques like polymerase chain reaction, sanger sequencing, next-generation sequencing, fluorescence in situ hybridization, immunohistochemistry staining, patient-derived tumor xenograft models, patient-derived organoid models, and therapeutic drug monitoring. The utilization of diverse detection technologies in clinical practice has made "individualized treatment" possible, but the desired level of accuracy has not been fully attained yet.
View Article and Find Full Text PDFBMC Musculoskelet Disord
December 2024
Background: This study aims to evaluate the optimal dose of intravenous tranexamic acid (TXA) for reducing blood loss in spinal surgery.
Methods: A systematic search was conducted in the PubMed, Embase, Cochrane Library database from inception until November 2023. Randomized controlled trials (RCTs) incorporating diverse TXA dosing regimens for spinal surgery were included.
Freshwater ecosystems, including high-altitude lakes, can be affected by trace metal pollution derived from a mix of natural sources and anthropogenic activities. These pollutants often collect in surface sediments, with notable concentrations in the deeper areas of lakes. To evaluate the environmental risk associated with metal contaminated sediment in Rara Lake, southern Himalaya, surface sediment samples were systematically collected in November 2018, with a subsequent specific emphasis on determinations of trace element concentrations.
View Article and Find Full Text PDFSci Total Environ
December 2024