Carbon quantum dots (CQDs) are a unique class of 0D nanomaterials, featured by a
graphitic core and shell layers saturated with hydrogen atoms and functional groups. CQDs …

Improving the quantitative performance of mass spectrometry (MS)-based metabolomics is
the key to its successful application in a broad range of research questions. Like other …

Deep neural networks have been regarded as accurate models to predict complex
fermentation processes due to their capacity to learn from a high number of data sets via …

Heart disease causes major death across the entire globe. Hence, heart disease prediction
is a vital part of medical data analysis. Recently, various data mining and machine learning …

Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) accompanied by
cerebrovascular risk factors (CVRFs) are known to increase the risk of developing dementia …

Background Immunotherapy for malignant tumors has made great progress, but many
patients do not benefit from it. The complex intratumoral heterogeneity (ITH) hindered the in …

Heterogeneous response to Enzalutamide, a second-generation androgen receptor
signaling inhibitor, is a central problem in castration-resistant prostate cancer (CRPC) …

Mass spectrometry focusing on small endogenous molecules has become an integral part of
biomarker discovery in the pursuit of an in-depth understanding of the pathophysiology of …

Osteosarcoma is the most common skeletal malignancy and is the second leading cause of
cancer death in adolescents. Its highly aggressive nature and high propensity to metastasize …

Selection of reference genes during real-time quantitative PCR (qRT-PCR) is critical to
determine accurate and reliable mRNA expression. Nonetheless, not a single study has …