Possibility Of Early Cancer Detection By The New Methodology On Human Cells


Now diagnosis and beating the most devastating diseases like autoimmune disease and cancers is possible with innovation in the history of medical science. Researchers found a new methodology to analyze the data from individual human cells. With the help of single-cell data and machine learning algorithms, earlier detection of cancer is possible. Garvan Institute of Medical Research developed a new technology to fingerprint the human cells. A journal published by Genome Biology states technology named as ‘scPred.’ This method can find human cells at the root of disease, which helps to alter the treatments of patients. It allows deciding medication based on cell analysis.

The Associate Professor Powell explains the technology as human cells classified according to inner and outer cell surface markers in a human body. Surface markers may be the same for cancer cells, so to identify them, it requires to study sub-cells to find tumor cells. Examining more number of cells at the same time is difficult to distinguish the cell properties. So this method allows studying particular cell properties that will differentiate the tumor cell and will be able to detect the disease. By defining the cell transcript, it makes that cell with a unique characteristic. So the number of same cells can be determined to decide the structure of treatment and medication for a patient.

After a specific cell identification, the cell gets fingerprinted in the database. Any trained researcher can be able to match another cell from anywhere in the world. Thus results in increased accuracy up to 98%. So this brings a new advancement in the medical field to fight with diseases like cancer. So Mr. Powell says that the scPred method has the potential to determine the stage of cancer and signatures of tumor cells that indicates resistance to chemotherapy. The researchers explain their technological improvements in the resolution of cell types and may discover diseased cells that are different from the scope of existing medical diagnostics.

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