Rapid advancements in high-throughput omics technologies and experimental protocols have led to the generation of vast amounts of scale-specific biomolecular data on cancer …
W Yu, X He, C Zhang, H Huangfu - American Journal of Cancer …, 2023 - ncbi.nlm.nih.gov
Due to its heterogeneous nature, head and neck squamous cell carcinoma (HNSC) had the worst prognosis. Hence, there is an urgent need to develop novel diagnostic and prognostic …
Simple Summary Non-small cell lung cancer (NSCLC) is a serious public health issue due to its high mortality rate. To improve the survival rate of NSCLC with better treatment, it is …
Cancer Research has advanced during the past few years. Using high throughput technology and advances in artificial intelligence, it is now possible to improve cancer …
Variant peptides resulting from single nucleotide polymorphisms (SNPs) can lead to aberrant protein functions and have translational potential for disease diagnosis and …
The microsatellite stable/epithelial-mesenchymal transition (MSS/EMT) subtype of gastric cancer represents a highly aggressive class of tumors associated with low rates of survival …
J Bucksot, K Ritchie, M Biancalana, JA Cole, D Cook - Cancers, 2024 - mdpi.com
Simple Summary This study describes a large-scale analysis of cancer metabolism across The Cancer Genome Atlas and Multiple Myeloma Research Foundation MMRF …
The importance of single nucleotide polymorphisms (SNPs) is well known in diseases but which ones are translated to form single amino acid variant (SAV or variant) is not studied in …
Artificial intelligence (AI) is rapidly changing cancer research and treatment development. OpenAI, a pioneer in AI research, is at the vanguard of this revolution. This review article …