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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.
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 ...
An ideal tumor marker does not exist, and how they are clinically applied depends on the specific tumor marker. For example, tumor markers like Ki-67 can be used to choose form of treatment or in prognostics but are not useful to give a diagnosis, while other tumor markers have the opposite functionality. Therefore it's important to follow the ...
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.
A panel of epigenetic methylation marker has been explored for prognosis of ovarian cancer, and it is reported that the panel exhibited high specificity and sensitivity (both above 70%) as a screen marker. [5] Epigenetic markers have also shown promising potential as prognostic markers for bladder cancer. [6]
Because molecular diagnostics methods can detect sensitive markers, these tests are less intrusive than a traditional biopsy. For example, because cell-free nucleic acids exist in human plasma, a simple blood sample can be enough to sample genetic information from tumours, transplants or an unborn fetus.
This week, investors digested bitcoin's rally above $100,000, Intel's leadership shakeup, and monthly jobs data that keeps the Fed on track to cut interest rates.
In medicine, an imaging biomarker is a feature of an image relevant to a patient's diagnosis. For example, a number of biomarkers are frequently used to determine risk of lung cancer. First, a simple lesion in the lung detected by X-ray, CT, or MRI can lead to the suspicion of a neoplasm. The lesion itself serves as a biomarker, but the minute ...