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  2. Cancer Likelihood in Plasma - Wikipedia

    en.wikipedia.org/wiki/Cancer_Likelihood_in_Plasma

    Cancer Likelihood in Plasma (CLiP) refers to a set of ensemble learning methods for integrating various genomic features useful for the noninvasive detection of early cancers from blood plasma. [1] An application of this technique for early detection of lung cancer (Lung-CLiP) was originally described by Chabon et al. (2020) [ 2 ] from the labs ...

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Lung Cancer Dataset Lung cancer dataset without attribute definitions 56 features are given for each case 32 Text Classification 1992 [270] [271] Z. Hong et al. Arrhythmia Dataset Data for a group of patients, of which some have cardiac arrhythmia. 276 features for each instance. 452 Text Classification 1998 [272] [273] H. Altay et al.

  4. PD-L1 - Wikipedia

    en.wikipedia.org/wiki/PD-L1

    PD-L1 is shown to be highly expressed in a variety of malignancies, particularly lung cancer. In order to anticipate the effectiveness of gene therapy or systemic immunotherapy in blocking the PD-1 and PD-L1 checkpoints, PD-L1 might be employed as a prognostic marker and a target for anti-cancer immunity.

  5. Tumor marker - Wikipedia

    en.wikipedia.org/wiki/Tumor_marker

    Tumor markers can be molecules that are produced in higher amounts by cancer cells than normal cells, but can also be produced by other cells from a reaction with the cancer. [2] The markers can't be used to give patients a diagnosis but can be compared with the result of other tests like biopsy or imaging. [2]

  6. Tumor antigen - Wikipedia

    en.wikipedia.org/wiki/Tumor_antigen

    Processing of tumor antigens recognized by CD8+ T cells. Normal proteins in the body are not antigenic because of self-tolerance, a process in which self-reacting cytotoxic T lymphocytes (CTLs) and autoantibody-producing B lymphocytes are culled "centrally" in primary lymphatic tissue (BM) and "peripherally" in secondary lymphatic tissue (mostly thymus for T-cells and spleen/lymph nodes for B ...

  7. Molecular diagnostics - Wikipedia

    en.wikipedia.org/wiki/Molecular_diagnostics

    Molecular diagnostics tool can be used for cancer risk assessment. For example, the BRCA1/2 test by Myriad Genetics assesses women for lifetime risk of breast cancer. [22] Also, some cancers are not always employed with clear symptoms. It is useful to analyze people when they do not show obvious symptoms and thus can detect cancer at early stages.

  8. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  9. Cancer biomarker - Wikipedia

    en.wikipedia.org/wiki/Cancer_biomarker

    Genetic, [1] epigenetic, [2] proteomic, [3] glycomic, [4] and imaging biomarkers can be used for cancer diagnosis, prognosis, and epidemiology. Ideally, such biomarkers can be assayed in non-invasively collected biofluids like blood or serum. [5] Cancer is a disease that affects society at a world-wide level.

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