Survival improves when cancer is detected early. However,~ 50% of cancers are at an
advanced stage when diagnosed. Early detection of cancer or precancerous change allows …

Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

To chart cell composition and cell state changes that occur during the transformation of
healthy colon to precancerous adenomas to colorectal cancer (CRC), we generated single …

Historically, studies of disseminated tumour cells in bone marrow and circulating tumour
cells in peripheral blood have provided crucial insights into cancer biology and the …

The natural history of cancers can be understood through the lens of evolution given that the
driving forces of cancer development are mutation and selection of fitter clones. Cancer …

A fundamental goal in cancer research is to understand the mechanisms of cell
transformation. This is key to developing more efficient cancer detection methods and …

Abstract The Catalogue Of Somatic Mutations In Cancer (COSMIC), https://cancer. sanger.
ac. uk/cosmic, is an expert-curated knowledgebase providing data on somatic variants in …

To study complex biological processes holistically, it is imperative to take an integrative
approach that combines multi-omics data to highlight the interrelationships of the involved …

Functional precision medicine is a strategy whereby live tumor cells from affected individuals
are directly perturbed with drugs to provide immediately translatable, personalized …

Microorganisms are detected in multiple cancer types, including in putatively sterile organs,
but the contexts in which they influence oncogenesis or anti-tumor responses in humans …