Single-cell transcriptome analysis reveals cellular reprogramming and changes of immune cell subsets following tetramethylpyrazine treatment in LPS-induced acute lung injury by Mingyan Wu, Shanmei Wang, Xiaolan Chen, Li Shen, Jurong Ding, Hongbin Jiang

“…However, TMP treatment in the LPS-induced ALI model significantly increased follicular helper T cells and reduced CD8+ naive T cells, Vcan-positive monocytes and Siva-positive NK cells. …”
Get full text

The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision-Making by Muhammad Nauman, Ahmad S. Almadhor, Mohammed Albekairi, Ali R. Ansari, Muhammad A. B. Fayyaz, Raheel Nawaz

“…The research finding highlighted the superior performance of Logistic Regression (LR) models compared to other models like Naive Bayes (NB), providing valuable insights for healthcare applications.…”
Get full text

Machine learning algorithms for predicting delayed hyponatremia after transsphenoidal surgery for patients with pituitary adenoma by Kunzhe Lin, Jianping Zhang, Lin Zhao, Liangfeng Wei, Shousen Wang

“…In the training dataset, the best predictive performance was observed for XGBoost (area under the ROC curve; AUC = 0.821), followed by Random Forest (AUC = 0.8), Logistic Regression (AUC = 0.793), Support Vector Machine (AUC = 0.776), naïve Bayes (AUC = 0.774), K-Nearest Neighbors (AUC = 0.742), and Decision Tree (AUC = 0.717). …”
Get full text

Plasma mcfDNA Sequencing May Improve Usual Care Diagnostics to Detect HHV-8 Among Outpatient People with Advanced HIV by Sarah Park, Brian Epling, Morgan Richey, Daniel Lupu, Mona Mughar, Irini Sereti

“…Methods: Pathogen-agnostic plasma microbial cell-free DNA sequencing was applied to banked samples from 116 outpatients included in 2 previous prospective studies of patients with antiretroviral treatment-naïve, advanced HIV (CD4 count ≤100 cells/µL). We then reviewed clinical and laboratory data for any people who tested positive for HHV-8 by mcfDNA sequencing or UC at baseline. …”
Get full text

Immune cell profiles and predictive modeling in osteoporotic vertebral fractures using XGBoost machine learning algorithms by Yi-Chou Chen, Hui-Chen Su, Shih-Ming Huang, Ching-Hsiao Yu, Jen-Huei Chang, Yi-Lin Chiu

“…Results Our findings reveal an increased presence of CD4 + naïve T cells and central memory T cells in VF patients, indicating distinct adaptive immune responses. …”
Get full text

Study of Body Composition and Metabolic Parameters in HIV-1 Male Patients by Gurudath Gundurao Sreekantamurthy, N Biplab Singh, Th Bhimo Singh, Th Suraj Singh, Karam Romeo Singh

“…One hundred and one HIV male patients were categorised into ART naïve (n=22), zidovudine (n=22), stavudine (n=18), tenofovir (n=15), and PIs (n=24) based HAART. …”
Get full text

Profiling Serum Cytokines and Anticytokine Antibodies in Psoriasis Patients by Dan Hong, Xiuting Liu, Xiaonan Qiu, Siyao Lu, Yanyun Jiang, Guozhen Tan, Zhenrui Shi, Liangchun Wang

“…The study included 44 biologics-naive psoriasis patients and 40 healthy controls. …”
Get full text

Explainable artificial intelligence to identify follicles that optimize clinical outcomes during assisted conception by Simon Hanassab, Scott M. Nelson, Artur Akbarov, Arthur C. Yeung, Artsiom Hramyka, Toulin Alhamwi, Rehan Salim, Alexander N. Comninos, Geoffrey H. Trew, Tom W. Kelsey, Thomas Heinis, Waljit S. Dhillo, Ali Abbara

“…In this multi-center study (n = 19,082 treatment-naive female patients), including 11 European IVF centers, we harnessed explainable artificial intelligence to identify follicle sizes that contribute most to relevant downstream clinical outcomes. …”
Get full text

QoE-Aware Bitrate Selection in Cooperation With In-Network Caching for Information-Centric Networking by Yusaku Hayamizu, Koki Goto, Masaki Bandai, Miki Yamamoto

“…A promising solution to this problem is to use a Server and Network Assisted DASH (SAND)-like approach: ICN routers in the network notify a user application of the available bandwidth. However, with a naive network-assisted approach, the user application cannot fully utilize the cached segments when high-quality video segments are accidentally stored in the router on the user side of the congestion. …”
Get full text

Hepatocytic Differentiation Potential of Human Fetal Liver Mesenchymal Stem Cells: In Vitro and In Vivo Evaluation by Hoda El-Kehdy, Guillaume Pourcher, Wenwei Zhang, Zahia Hamidouche, Sylvie Goulinet-Mainot, Etienne Sokal, Pierre Charbord, Mustapha Najimi, Anne Dubart-Kupperschmitt

“…Following transplantation, naive and differentiated FL-MSC were engrafted into the hepatic parenchyma of newborn immunodeficient mice and differentiated in situ. …”
Get full text

Characterization of infectious salmon anaemia virus survival and infectivity in seawater by Simon Chioma Weli, Marit Måsøy Amundsen, Ole Bendik Dale, Sonal Jayesh Patel

“…Virulent ISAV primarily infects salmon and replicates within salmon, which then shed virus particles potentially infecting naïve salmon. However, spread of this pathogen from net-pen to net-pen is often remarkably slow as it may take months despite net-pens being only a few meters apart. …”
Get full text

Aspects of Studying Self-Adjustment of Mental States of the Employees of Internal Affairs Agencies of Ukraine within Professional Activity by T. L. Bilous

“…The author has studied methods of psychological influence (autogenic training and its variants, naive methods of self-regulation, the simplest methods of self-regulation, ideomotor training and neuro-linguistic programming), which are necessary for solving the set task. …”
Get full text

Decreased Apoptotic Rate of Alveolar Macrophages of Patients with Idiopathic Pulmonary Fibrosis by Fotios Drakopanagiotakis, Areti Xifteri, Evaggelos Tsiambas, Andreas Karameris, Konstantina Tsakanika, Napoleon Karagiannidis, Demetrios Mermigkis, Vlasis Polychronopoulos, Demosthenes Bouros

“…We analyzed, by immunohistochemistry, the expression of the apoptotic markers fas, fas ligand , bcl-2, and bax in AM obtained from bronchoalveolar lavage fluid (BALF) of 20 newly diagnosed, treatment-naive IPF patients and of 16 controls. Apoptosis of AM was evaluated by Apoptag immunohistochemistry. …”
Get full text

Deep immunophenotypic dissection and clinical impact of T cells in the follicular lymphoma microenvironment by Sary El Daker, David Qualls, Andriy Derkach, Samida Beqaj, Leonardo Boiocchi, Venkatraman Seshan, Jeeyeon Baik, Menglei Zhu, Gilles Salles, Ahmet Dogan, Mikhail Roshal, Pallavi Galera

“…Compared to FH, both FL-UT and FL-RR specimens exhibited depletion of CD4+ and CD8+ naive subsets and were characterized by an immune suppressive microenvironment enriched in specific inhibitory T-cells, along with exhausted memory T-cells overexpressing varying combinations of immune checkpoint receptors. …”
Get full text

Facilitating automated fact-checking: a machine learning based weighted ensemble technique for claim detection by Md. Rashadur Rahman, Rezaul Karim, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Gahangir Hossain, Tetsuya Shimamura

“…The proposed weighted ensemble technique combines Support Vector Machines, Bernoulli Naive Bayes, and Decision Trees as base classifiers to effectively detect claims. …”
Get full text

Tumour necrosis factor inhibitors in Ulcerative colitis: real-world data on Therapeutic drug monitoring and evaluation of current treatment targets (STRIDE II) by Jonas Andre Lundekvam, Marte Lie Høivik, Karoline Anisdahl, Milada Cvancarova Småstuen, David J. Warren, Nils Bolstad, Asle Wilhelm Medhus

“…We report real-world data in ulcerative colitis patients receiving first-line tumour necrosis factor inhibitor (TNFi) treatment followed by TDM, and assess how implementation of the STRIDE II recommendations might affect clinical practice.Methods Adult, biologically naïve UC patients starting TNFi between 2014 and 2021 at Oslo University Hospital were included in a medical chart review study, and data were collected at three and twelve months after the start of treatment. …”
Get full text

Cancer Detection Rates of Systematic and Targeted Prostate Biopsies after Biparametric MRI by Maudy C. W. Gayet, Anouk A. M. A. van der Aa, Harrie P. Beerlage, Bart Ph Schrier, Maaike Gielens, Roel Heesakkers, Gerrit J. Jager, Peter F. A. Mulders, Hessel Wijkstra

“…To compare prostate cancer detection rates (CDRs) and pathology results with targeted prostate biopsy (TB) and systematic prostate biopsy (SB) in biopsy-naive men. Methods. An in-patient control study of 82 men undergoing SB and subsequent TB in case of positive prostate MRI between 2015 and 2017 in the Jeroen Bosch Hospital, the Netherlands. …”
Get full text

Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

“…Supervised learning models of GRASS GIS were tested and compared including the Gaussian Naive Bayes (GaussianNB), Multi-layer Perceptron classifier (MLPClassifier), Support Vector Machines (SVM) Classifier, and Random Forest Classifier (RF). …”
Get full text

Differentiation value of miR-26b for major depressive disorder, schizophrenia, generalized anxiety disorder by Lingming Kong, Xiaoli Zhu, Liyi Zhang, Shengdong Chen

“…Introduction: First episode and drug naive schizophrenia (SZ) patients comorbid with major depressive episode and generalized anxiety disorder (GAD) comorbid with major depressive disorder (MDD) are common in clinical practice, overlapping symptomatology during first presentation of MDD, SZ and GAD challenged the diagnostic process. …”
Get full text

Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset by Omid Kohandel Gargari, Mobina Fathi, Shahryar Rajai Firouzabadi, Ida Mohammadi, Mohammad Hossein Mahmoudi, Mehran Sarmadi, Arman Shafiee

“…After careful selection of variables related to asthma, various ML algorithms including Support Vector Machine (SVM), Random Forest (RF), AdaBoost (ADA), XGBoost (XGB), K-Nearest Neighbors (KNN), Naive Bayes (NB), and Multi-Layer Perceptron (MLP) were evaluated. …”
Get full text