Advances of artificial intelligence in clinical application and scientific research of neuro-oncology: Current knowledge and future perspectives.

Brain tumors refer to the abnormal growths that occur within the brain's tissue, comprising both primary neoplasms and metastatic lesions. Timely detection, precise staging, suitable treatment, and standardized management are of significant clinical importance for extending the survival rates of brain tumor patients. Artificial intelligence (AI), a discipline within computer science, is leveraging its robust capacity for information identification and combination to revolutionize traditional paradigms of oncology care, offering substantial potential for precision medicine.

Diagnosis of invasive pulmonary aspergillosis by lateral flow assay of galactomannan in bronchoalveolar lavage fluid: a meta-analysis of diagnostic performance.

The performance of lateral flow assay (LFA) in diagnosing invasive pulmonary aspergillosis (IPA) has not been well demonstrated. To address this, we conducted a meta-analysis assessing the overall accuracy of LFA in diagnosing IPA using bronchoalveolar lavage fluid (BALF). Over a systematical search and assessment of bias risk, we calculated the pooled specificity, sensitivity, and area under the receiver operating curve (AUC) to assess the diagnostic performance.

Regeneration of carbon nanotube and nanofibre composite film electrode for electrical removal of cupric ions.

Low cost and large scale carbon nanotube and nanofibre (CNT-CNF) composite films have been fabricated and employed as electrodes for electrosorption of cupric ions. The regeneration of the saturated CNT-CNF film electrode has been investigated. Three methods (short-circuiting, short-circuiting and then reversing voltage, reversing voltage and then short-circuiting) are used for regeneration.