Third dose of COVID-19 vaccine leads to seroconversion in 56% cancer patients that are seronegative after primary vaccination and a fourth can further boost immune response in patients with hematologic malignancies, which can be predicted by IgM and CD19 levels.

An immunopeptidomic-based pipeline provides a tool for the identification of cancer therapeutic targets and generation of cancer oncolytic vaccines.

AIDPS derived by 76 machine-learning algorithm combinations in 13 independent multicenter cohorts exhibited superior capability than clinical traits and 86 published prognostic signatures and could serve as an ideal biomarker for stratified management and individualized treatment of pancreatic cancer.

Diagnosing the presence and clinical significance of prostate cancer can be achieved using AI-based analysis of peripheral blood natural killer (NK) cell subset profiles.

Cancer stem cells that have undergone EMT are identified in the region surrounding metastatic human oral tumours in a retrospective cohort study, and these are predictive of metastatic outcome in an image-based machine learning approach.

Machine learning-assisted experiments reveal CD81 as a novel binding partner of CD44 in driving cancer stemness, tumor cell clustering, and extracellular vesicle integrity in human and mouse breast cancer.

Rare, virus-specific immune cells in human blood are automatically identified by machine learning algorithm T-REX and characterized for signature features needed for tracking and isolation.

The combination of molecular infrared fingerprinting and machine learning enables the detection of breast, bladder, prostate, and lung cancer based on liquid blood serum and plasma, providing a general framework for the minimally invasive investigation of oncological conditions.

A robust machine learning diagnostic platform utilizing exosome proteins to distinguish various human cancers in diverse biological fluids.

Shifting from girls-only to gender-neutral HPV vaccination strategy improves the resilience of cervical cancer prevention and enhances progress towards cervical cancer elimination.