Sequencing-based identification of tumor tissue-of-origin (TOO) is critical for patients with
cancer of unknown primary lesions. Even if the TOO of a tumor can be diagnosed by …

Context: Computational modeling involves the use of computer simulations and models to
study and understand real-world phenomena. Its application is particularly relevant in the …

Cancer of unknown primary (CUP) refers to metastatic tumors for which the primary tumor of
origin cannot be determined at the time of diagnosis, despite extensive clinicopathologic …

The discovery of cancer of unknown primary (CUP) is of great significance in designing
more effective treatments and improving the diagnostic efficiency in cancer patients. In the …

Biological markers (ie, biomarkers) is the key to predicting disease states and revealing the
molecular mechanisms in precision medicine of complex disease (eg, cancer). With the …

Hepatocellular carcinoma (HCC) is a leading cause of cancer‐related mortality and
morbidity worldwide. Machine learning (ML) tools have been developed in recent years to …

Molecular genetic analyses, such as mutation analyses, are becoming increasingly
important in the tumor field, especially in the context of therapy stratification. The …

Background Recent advancement in bioinformatics offers the ability to identify informative
genes from high dimensional gene expression data. Selection of informative genes from …

В настоящем исследовании обсуждаются принципы подбора биомаркеров для
описания результатов лечения келоидной ткани методом лазерной терапии. В работе …