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JNM publishes appropriate use criteria for ly - Vimarsana News

JNM publishes appropriate use criteria for ly

The Society of Nuclear Medicine and Molecular Imaging (SNMMI) and 10 other professional societies have issued new appropriate use criteria (AUC) for lymphoscintigraphy in sentinel node mapping and lymphedema/lipedema. The criteria, summarized in the April issue of The Journal of Nuclear Medicine (JNM), include a list of relevant clinical scenarios, a systematic review of evidence in the literature, and a systematic analysis of available evidence, followed by grading each of the clinical scenarios.

New tool differentiates between cancer and normal cells - Vimarsana News

New tool differentiates between cancer and normal cells

In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from the University of Texas MD Anderson Cancer

New computational technique differentiates between cancer and normal cells within tumour samples: Study - Vimarsana News

New computational technique differentiates between cancer and normal cells within tumour samples: Study

Washington [US], January 19 (ANI): In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from the University of Texas MD Anderson Cancer Center have developed a new computational technique to accurately differentiate between data from cancer cells and the variety of normal cells found within tumor samples.

Source: aninews.in
New computational tool reliably differentiates between cancer and normal cells from single-cell RNA-sequencing data - Vimarsana News

New computational tool reliably differentiates between cancer and normal cells from single-cell RNA-sequencing data

Credit: MD Anderson Cancer Center HOUSTON — In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from The University of Texas MD Anderson Cancer Center have developed a new computational technique to accurately differentiate between data from cancer cells and the variety of normal cells found within tumor samples. The work was published today in Nature Biotechnology. The new tool, dubbed CopyKAT (copy number karyotyping of aneuploid tumors), allows researchers to more easily examine the complex data obtained from large single-cell ...