A new CRISPR-based tool that is directly used on patients' cancer cells can identify genes and regulatory elements driving acute myeloid leukemia (AML), an aggressive blood cancer affecting the bone ...

Researchers hope to undertake clinical studies in multiple cancers, including ovarian cancer, glioblastoma, and others.

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

One way cancer specialists detect the disease is by examining cells and bodily fluids under a microscope, a time-consuming ...

Studying gene expression in a cancer patient's cells can help clinical biologists understand the cancer's origin and predict the success of different treatments. But cells are complex and contain many ...

Researchers working on an incurable blood cancer can now use a new lab model that could make testing potential new treatments and diagnostics easier and quicker, new research has found. Working with ...

As is often the case with cancer treatments, many patients are able to benefit from therapy for a time. Tumor activity ...

Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus were used to construct a 12-gene ARG-based prognostic signature through LASSO and Cox regression ...

For many people diagnosed with cancer, treatment with immune checkpoint inhibitors (ICIs) has dramatically extended lives. Some of these treatments, such as Keytruda and Opdivo, have become familiar ...