Quantifying deep neural network uncertainty for atrial fibrillation detection with limited labels.

Atrial fibrillation (AF) is the most common arrhythmia found in the intensive care unit (ICU), and is associated with many adverse outcomes. Effective handling of AF and similar arrhythmias is a vital part of modern critical care, but obtaining knowledge about both disease burden and effective interventions often requires costly clinical trials. A wealth of continuous, high frequency physiological data such as the waveforms derived from electrocardiogram telemetry are promising sources for enriching clinical research.

Training deep neural networks with noisy clinical labels: toward accurate detection of prostate cancer in US data.

Purpose: Ultrasound is the standard-of-care to guide the systematic biopsy of the prostate. During the biopsy procedure, up to 12 biopsy cores are randomly sampled from six zones within the prostate, where the histopathology of those cores is used to determine the presence and grade of the cancer. Histopathology reports only provide statistical information on the presence of cancer and do not normally contain fine-grain information of cancer distribution within each core.

Coarse label refinement for improving prostate cancer detection in ultrasound imaging.

Purpose: Ultrasound-guided biopsy plays a major role in prostate cancer (PCa) detection, yet is limited by a high rate of false negatives and low diagnostic yield of the current systematic, non-targeted approaches. Developing machine learning models for accurately identifying cancerous tissue in ultrasound would help sample tissues from regions with higher cancer likelihood. A plausible approach for this purpose is to use individual ultrasound signals corresponding to a core as inputs and consider the histopathology diagnosis for the entire core as labels.

Dysregulated Expression of Long Non-Coding RNA MINCR and EZH2 in Colorectal Cancer.

Background: As critical regulators, lncRNAs have attracted attention from researchers for diagnostic, prognostic, and therapeutic purposes in human carcinogenesis via interfering with mRNAs such as EZH2. Nevertheless, the potent roles and molecular mechanisms of these RNAs in CRC are not clearly known.

Methods: In this study, the tissue expressions of lncRNA MINCR and EZH2 mRNA between colorectal tumors and polyps were compared with the adjacent normal tissues collected from 114 Iranian patients, using real-time PCR method.

Radioprotective Effects of Combined Melatonin and Famotidine Treatment on Radiation Induced Apoptosis in Peripheral Blood Leukocytes of Breast Cancer Patients and Normal Individuals.

Objective: The aim of this study was to evaluate the effects of individual or combined use of two antioxidants, melatonin and famotidine on radiation induced apoptosis in leukocytes from breast cancer (BC) patients.

Materials And Methods: In this experimental study, the DPPH assay was used to determine the appropriate doses of melatonin and famotidine for treatment of BC and control leukocytes. The leukocytes were cultured in complete RPMI1640 medium and treated with either agent for two hours.