Latest AI and machine learning research in other cancers for healthcare professionals.
Drug resistance in cancer is shaped not only by evolutionary processes but also by eco-evolutionary ...
Atopic dermatitis (AD) is a chronic inflammatory skin disease driven by complex interactions among g...
Despite its potential in cancer therapy, single-atom nanozyme (SAzyme) faces challenges like low ato...
Despite improved outcomes with atezolizumab plus bevacizumab (A+B) in hepatocellular carcinoma (HCC)...
The accurate prediction of chromosomal instability from the morphology of circulating tumor cells (C...
Cancer cells undergo extensive metabolic rewiring to support growth, survival, and phenotypic plasti...
Cancer subtype classification is critical for precision therapy and there is a growing trend of augm...
Accurate cancer subtyping with accompanying molecular characterization is critical for precision onc...
Colorectal cancer (CRC) ranks as the third highest incidence among malignancies in humans and the se...
Intratumoral heterogeneity, originating from genetic, epigenetic, and phenotypic cellular diversity,...
The development of personalized cancer vaccines relies heavily on accurately identifying neoepitopes...
Chimeric antigen receptor (CAR) T cell therapy holds transformative potential for hematologic malign...
Cancer of unknown primary (CUP) remains a major diagnostic hurdle, compromising therapies that depen...
The metabolic heterogeneity of breast cancer represents a significant challenge for the identificati...
Patient-derived organoids (PDOs) are emerging as advanced 3D ex vivo novel alternative method (NAM) ...
Emerging evidence suggests that the interplay between multiple signaling pathways and the immune mic...
Glioblastoma (GBM) is an aggressive brain tumor with limited prognostic biomarkers and therapeutic t...
Identifying effective neoantigen sequences is essential for enhancing anti-tumor immunity. However, ...
Reliable sleep stage classification from EEG signals is critical for the development of clinical dec...
Histopathological analysis is considered the gold standard for the diagnosis and prognostication of ...
Extracellular vesicles (EVs), including exosomes, are emerging as promising carriers of disease-spec...