Abstract Thyroid cancer is a common endocrine carcinoma that occurs in the thyroid gland. Much effort has been invested improving its diagnosis, and thyroidectomy remains primary treatment method. A successful operation without unnecessary side injuries relies on an accurate preoperative diagnosis. Current human assessment of nodule malignancy prone to errors may not guarantee This study proposed machine learning framework predict based our collected novel clinical dataset. The ten-fold...

In this paper, we seek to understand how politicians use images express ideological rhetoric through Facebook posted by members of the U.S. House and Senate. era social media, politics has become saturated with imagery, a potent emotionally salient form political which been used organizations influence public sentiment voting behavior for well over century. To date, however, little is known about are as rhetoric. Using deep learning techniques automatically predict Republican or Democratic...

The existence of doublets is a key confounder in single-cell RNA sequencing (scRNA-seq) data analysis. Computational methods have been developed for detecting from scRNA-seq data. We an R package DoubletCollection to integrate the installation and execution eight doublet-detection methods. also provides unified interface perform visualize downstream analysis after doublet detection. Here, we present protocol using benchmark This can automatically accommodate new fast-growing field.

Abstract Alcohol consumption has been found to increase the severity of ulcerative colitis flares; however, underlying mechanism remains unclear. We performed RNA sequencing colonic epithelial cells derived from a murine model alcohol and investigate this in pathology. Briefly, male C57BL/6 mice received Dextran Sulfate Sodium (DSS) for 5 days induce colitis. On day 5, DSS treatment was discontinued, were either gavaged with (~3g/kg) or water 3 days. Three hours after final ethanol gavage on...

VS30 is a widely used parameter for characterizing local site conditions. A map serves as fundamental dataset various studies related to seismic hazard assessment and risk mitigation. In China, over 30 years of extensive engineering projects have generated wealth borehole-based VS measurements. We complied profile containing tens thousands borehole profiles derived from 3,000 investigation reports associated with across mainland covering all provinces 200 major cities. To better utilize this...

In this paper, we seek to understand how politicians use images express ideological rhetoric through Facebook posted by members of the U.S. House and Senate. era social media, politics has become saturated with imagery, a potent emotionally salient form political which been used organizations influence public sentiment voting behavior for well over century. To date, however, little is known about are as rhetoric. Using deep learning techniques automatically predict Republican or Democratic...

In single-cell RNA sequencing (scRNA-seq), doublets form when two cells are encapsulated into one reaction volume by chance. The existence of doublets, which appear as but not real cells, is a key confounder in scRNA-seq data analysis. Computational methods have been developed to detect data; however, the field lacks comprehensive benchmarking these methods, making it difficult for researchers choose an appropriate method their specific analysis needs. Here, we conducted first, systematic...

Abstract Summary The number of cells measured in single-cell transcriptomic data has grown fast recent years. For such large-scale data, subsampling is a powerful and often necessary tool for exploratory analysis. However, the easiest random not ideal from perspective preserving rare cell types. Therefore, diversity-preserving required exploration types dataset. Here, we propose scSampler, an algorithm data. Availability implementation scSampler implemented Python published under MIT source...

Tongue cancer is a common oral cavity malignancy that originates in the mouth and throat. Much effort has been invested improving its diagnosis, treatment, management. Surgical removal, chemotherapy, radiation therapy remain major treatment for tongue cancer. The effect determined by patients’ survival status. Previous studies have identified certain risk factors based on descriptive statistics, ignoring complex, nonlinear relationship among clinical demographic variables. In this study, we...

Torsades de pointes (TdP) is an irregular heart rhythm characterized by faster beat rates and potentially could lead to sudden cardiac death. Much effort has been invested in understanding the drug-induced TdP preclinical studies. However, a comprehensive statistical learning framework that can accurately predict risk from data still lacking. We proposed ordinal logistic regression random forest models low-, intermediate-, high-risk drugs based on datasets generated two experimental...

Doublet is a major confounder in single‐cell RNA sequencing data analysis. Computational doublet‐detection methods aim to remove doublets from scRNA‐seq data. The performance of those relies on the appropriate setting their hyperparameters. In this study, we explore optimal hyperparameters for scDblFinder, cutting‐edge method. Our optimization utilizes full factorial design, response surface model, and 16 real datasets. achieve top under wide range biological conditions. methodology...

Summary Background In patients with severe acute respiratory distress syndrome (ARDS) associated sepsis, lung recovery is considerably delayed, and mortality much high. More insight into the process of regeneration in ARDS needed. Exosomes are important cargos for intercellular communication by serving as autocrine and/or paracrine. Cutting-edge exomics (exosomal proteomics) makes it possible to study mechanisms re-alveolarization lungs. Aims This aimed identify potential regenerative niches...

Sarcoidosis is a rare inflammatory disease characterized by the formation of granulomas in various organs. The presents diagnostic and treatment challenges due to its diverse manifestations unpredictable nature. In this study, we employed Large Language Model (LLM) analyze sarcoidosis-related discussions on social media platform Reddit. Our findings underscore efficacy LLMs accurately identifying content. We discovered wide array symptoms reported patients, with fatigue, swollen lymph nodes,...

The evaluation of drug-induced Torsades de pointes (TdP) risks is crucial in drug safety assessment. In this study, we discuss machine learning approaches the prediction TdP using preclinical data. Specifically, a random forest model was trained on dataset generated by rabbit ventricular wedge assay. performance measured 28 drugs from Comprehensive Vitro Proarrhythmia Assay initiative. Leave-one-drug-out cross-validation provided an unbiased estimation performance. Stratified bootstrap...

Tongue cancer is a common oral cavity malignancy that originates in the mouth and throat. Much effort has been invested improving its diagnosis, treatment, management. Surgical removal, chemotherapy, radiation therapy remain major treatment for tongue cancer. The survival of patients determines effect. Previous studies have identified certain risk factors based on descriptive statistics, ignoring complex, nonlinear relationship among clinical demographic variables. In this study, we utilize...