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Researchers at Rice University have developed a theoretical framework to explain how cancers caused by more than one genetic mutation can be more easily identified and possibly stopped.

Using a molecular probe capable of deep-tissue imaging, researchers have discovered that a high-fat diet is linked to nitric oxide levels and an increase in nitric oxide can exacerbate the development of cancer.

Researchers have developed a biosensor using a method to generate nanostructured and nanoporous surfaces. This combined strategy not only provides the sensor with an unprecedented sensitivity but also makes it resistant to fouling by proteins.

A new method has been developed that enables analysis of the spatial patterns of gene expression in three dimensions, permitting greater understanding of how a cell's environment can impact gene expression.

A team of researchers at Case Western Reserve University has developed a method that could make CRISPR methods even more precise, and more promising.

Lehigh University researchers have used the fluorescence of carbon nanotubes and machine learning to create a "spectral fingerprint" of a hard-to-diagnose cancer.

Analysis of the tumor immune microenvironment of hepatocellular carcinoma has revealed that greater accumulation of fat within the tumor cells alters the response to immunotherapy.

A 3D organoid model of the cervix has been created, opening up opportunities for researchers to study cervical infections and cancer development more easily.

Researchers at Eötvös Loránd University (ELTE) have created a new disease model that has contributed to a better understanding of Bloom syndrome and the sex determination processes of zebrafish.

A drug has been trialed in marginal zone lymphoma patients, with results showing the cancer shrunk in 80% of patients, leading to approval by the FDA for treating the condition.