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  • Refsgaard McKnight posted an update 8 days ago

    Using a retrospective approach, 182 head and neck cancer (HNC) patients with laryngeal cancer were reviewed. The patient cohort was stratified into three groups: group A (no elective lymph node removal), group B (postoperative radiotherapy), and group C (primary radiotherapy with elective lymph node removal). The extent to which anatomical…[Read more]

  • Refsgaard McKnight posted an update 10 days ago

    The 208 F2 plants’ genetic makeup segregated according to a single recessive gene, as did the 148 F6 lines, each tied to a single gene. Genotyping by sequencing (GBS) characterized the RILs and their parents. To map LrX to the distal region of chromosome arm 1DS, six GBS markers and five Kompetitive Allele-Specific PCR (KASP) markers were…[Read more]

  • Refsgaard McKnight posted an update 10 days ago

    To create the model, the extreme gradient boosting (XGBoost), random forest (RF), multilayer perceptron (MLP), and k-nearest neighbor (KNN) algorithms were used. This involved evaluating the model with k-fold cross-validation, ROC curves, calibration curves, decision curve analysis (DCA), and external validation.

    Among the four predictive…[Read more]

  • Refsgaard McKnight posted an update 12 days ago

    A group of 25 patients, characterized by MLS, underwent evaluation procedures. An investigation was conducted into the factors of age, sex, tumor depth, tumor size, surgical margins, oncological outcomes, histological grading, necrosis presence, round cell component proportion (RC%), PHH3 index, and Ki-67 index. Employing statistical analysis, the…[Read more]

  • Refsgaard McKnight became a registered member 12 days ago

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