Critical biomarkers for responsive deep brain stimulation and responsive focal cortex stimulation in epilepsy field by Zhikai Yu, Binghao Yang, Penghu Wei, Hang Xu, Yongzhi Shan, Xiaotong Fan, Huaqiang Zhang, Changming Wang, Jingjing Wang, Shan Yu, Guoguang Zhao

“…The Linear Discriminant Analysis model demonstrates the highest accuracy among the three basic machine learning models, whereas the Naive Bayesian model necessitates the least amount of computational and storage space. …”
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Machine Learning–Based Risk Factor Analysis and Prediction Model Construction for the Occurrence of Chronic Heart Failure: Health Ecologic Study by Qian Xu, Xue Cai, Ruicong Yu, Yueyue Zheng, Guanjie Chen, Hui Sun, Tianyun Gao, Cuirong Xu, Jing Sun

“…Subsequently, several ML models, namely decision tree, RF, extreme gradient boosting, adaptive boosting (AdaBoost), support vector machine, naive Bayes model, multilayer perceptron, and bootstrap forest, were constructed, and their performance was evaluated. …”
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Cysticerci Drive Dendritic Cells to Promote In Vitro and In Vivo Tregs Differentiation by Laura Adalid-Peralta, Asiel Arce-Sillas, Gladis Fragoso, Graciela Cárdenas, Marcos Rosetti, Didier Casanova-Hernández, Claudia Rangel-Escareño, Laura Uribe-Figueroa, Agnes Fleury, Edda Sciutto

“…Monocyte-derived dendritic cells (DC) from healthy human donors, cocultivated with autologous CD4+ naïve cells either in the presence or absence of cysticerci, promoted CD25highFoxp3+ Treg differentiation. …”
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Exhaustion of CD8pos central memory regulatory T cell differentiation is involved in renal allograft rejection by Florian Kälble, Jonas Leonhard, Jonas Leonhard, Martin Zeier, Oliver Zivanovic, Matthias Schaier, Andrea Steinborn

“…We were investigating whether changed differentiation of CCR7posCD45RAposCD31pos recent thymic emigrant (RTE) cells via CD45RAnegCD31pos memory (CD31pos memory) cells (pathway 1), via direct proliferation (pathway 2), or via CCR7posCD45RA+CD31neg resting mature naïve (MN) cells (pathway 3) into CD45RAnegCD31neg memory (CD31neg memory) cells affects the CD8pos Treg/Tresp ratio or identifies a CD8pos Treg/Tresp subset that predicts or confirms renal allograft rejection.ResultsWe found that RTE Treg differentiation via pathway 1 was age-independently increased in KTR, who developed graft rejection during the follow-up period, leading to abundant MN Treg and central memory Treg (CM Treg) production and favoring a strongly increased CD8pos Treg/Tresp ratio. …”
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Cohort profile: Noncommunicable diseases and ideal cardiovascular health among people living with and without HIV in Zambia and Zimbabwe (NCDzz cohort) by Gilles Wandeler, Samuel Bosomprah, Cleophas Chimbetete, Belinda Varaidzo Chihota, Guy Muula, Carolyn Bolton-Moore, Tinei Shamu, Ardele Mandiriri, Esau Banda

“…Here, we describe the study design and population and evaluate their ideal cardiovascular health (ICVH) using the Life’s Simple 7 (LS7) score according to the American Heart Association.Participants Antiretroviral therapy-naïve people living with HIV (PLWH) and people living without HIV (PLWOH) 30 years or older were recruited from three primary care clinics in Lusaka and Harare, and underwent comprehensive clinical, laboratory and behavioural assessments. …”
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Single-cell transcriptome atlas of peripheral immune features to Omicron breakthrough infection under booster vaccination strategies by Yuwei Zhang, Shanshan Han, Qingshuai Sun, Tao Liu, Zixuan Wen, Mingxiao Yao, Shu Zhang, Qing Duan, Xiaomei Zhang, Bo Pang, Zengqiang Kou, Xiaolin Jiang, Xiaolin Jiang, Xiaolin Jiang

“…IntroductionThe high percentage of Omicron breakthrough infection in vaccinees is an emerging problem, of which we have a limited understanding of the phenomenon.MethodsWe performed single-cell transcriptome coupled with T-cell/B-cell receptor (TCR/BCR) sequencing in 15 peripheral blood mononuclear cell (PBMC) samples from Omicron infection and naïve with booster vaccination.ResultsWe found that after breakthrough infection, multiple cell clusters showed activation of the type I IFN pathway and widespread expression of Interferon-stimulated genes (ISGs); T and B lymphocytes exhibited antiviral and proinflammatory-related differentiation features with pseudo-time trajectories; and large TCR clonal expansions were concentrated in effector CD8 T cells, and clonal expansions of BCRs showed a preference for IGHV3. …”
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Pluripotent stem cells from the perspective of developmental potential and their characteristics by In-Won Lee, Sang-Ki Baek, Yeon-Ji Lee, Tae-Suk Kim, Bo-Gyeong Seo, Cheol Hwangbo, Joon-Hee Lee

“…We would like to explain the classification of PSCs based on their developmental potential, the types of PSCs (ESCs, EpiSCs and iPSCs), their pluripotent status (naïve vs. primed) and alkaline phosphatase (AP) in PSCs and PSCs in domestic animals.…”
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Effects of entinostat, quisinostat, and tubastatin-A on alcohol consumption in male high ethanol consuming rats by Sheketha R. Hauser, Sheketha R. Hauser, Laura B. Ferguson, Laura B. Ferguson, Tiebing Liang, Erin E. Jarvis, R. Dayne Mayfield, Richard L. Bell, Richard L. Bell

“…The objective of the current study was to test the effects of different HDACi on ethanol intake in two rat lines selectively bred for high ethanol-consumption.MethodAdult naïve male high alcohol drinking line 1 (HAD1) or alcohol-preferring (P) rats were given continuous 24-h, 3-bottle, free-choice access to 15%, 30% ethanol concurrently with water for 8 weeks prior to testing entinostat (selective HDAC1i and HADC3i, 0, 1.25, 2.5, 5 mg/kg, i. p.), quisinostat (pan HADCi, 0, 0.5, 1.0, 2.0 mg/kg, i. p.), or tubastatin-A (selective HDAC6i, 0, 1.25, 2.5, 5 mg/kg, i. p.) over 4-5 consecutive days.ResultsIn HAD1 rats, entinostat reduced 2-, 4-, and 24-h ethanol intake across the 2nd – 5th test days; while, in P rats, entinostat’s effect was primarily seen at the 24-h time-point, at the highest dose and only across three test days. …”
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Platelet-derived HMGB1 induces NETosis, exacerbating brain damage in the photothrombotic stroke model by Sang-A. Oh, Song-I. Seol, Dashdulam Davaanyam, Seung-Woo Kim, Ja-Kyeong Lee

“…Co-culture experiments using naïve PMNs-platelets isolated following PTS demonstrate that extracellular HMGB1, particularly one derived from platelets, plays a critical role in activating neutrophils and inducing intravascular NETosis via a TLR4-dependent manner. …”
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Efficacy & safety of brolucizumab 6.0 mg versus 3.6 mg in diabetic macular edema by Sanjay Kumar Mishra, Pradeep Kumar, Amrita Joshi, Aman Saraf, Abhijeet Awasthi, Supriya Dhar, Khaleel M, Atul Kumar, Vipin Rana, Ravi D

“…We compared two different dosages of Brolucizumab, 6.0 mg and 3.6 mg, for their safety & efficacy in treatment of DME, in treatment naïve patients over 52 weeks. Method A prospective, pilot randomised controlled, single centre, double blinded, two arm comparative study was conducted between Dec 2022 to Apr 2024. …”
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Enhancing Semi-Supervised Learning With Concept Drift Detection and Self-Training: A Study on Classifier Diversity and Performance by Jose L. M. Perez, Roberto S. M. Barros, Silas G. T. C. Santos

“…The experiments conducted to test the proposed approach used Hoeffding Tree (HT) and Naive Bayes (NB) as base classifiers, which were also employed as members of the ensembles used in this research. …”
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Which PSMA PET/CT interpretation criteria most effectively diagnose prostate cancer? a retrospective cohort study by Le Ma, Yaxin Hao, Luoping Zhai, Wanchun Zhang, Xiaoming Cao, Kaiyuan Jia

“…Method This retrospective analysis spans a five-year period, focusing on patients with clinically suspected or newly diagnosed, treatment-naïve PCa who underwent 18F-PSMA PET/CT. The study is bifurcated into two segments: 1.A direct comparison assessing the consistency in SUVmax, miPSMA scores, and PSMA-RADS among PSMA PET/CT tracers ([18F]DCFPyL and [18F]PSMA-1007) for prostate foci in 24 patients. 2. …”
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Embryonic heat conditioning induces paternal heredity of immunological cross- tolerance: coordinative role of CpG DNA methylation and miR-200a regulation by Padma Malini Ravi, Tatiana Kisliouk, Shelly Druyan, Amit Haron, Mark A. Cline, Elizabeth R. Gilbert, Noam Meiri

“…Additionally, sperm from EHC males was used for artificial insemination of naïve Cobb hens, resulting in untreated offspring that displayed immune resilience upon LPS challenge, indicating transgenerational effects. …”
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Contezolid Harbored Equivalent Efficacy to Linezolid in Tuberculosis Treatment in a Prospective and Randomized Early Bactericidal Activity Study by Jiang G, Liu R, Xue Y, Ge Q, Nie L, Lv Z, Kong Z, Shi J, Chen H, Li H, Wu X, Xie L, Song Y, Huang H, Gao M

“…In this study, we evaluated the early bactericidal activity (EBA) of CZD compared to LZD, with LZD serving as a control.Methods: Naive, smear-positive pulmonary TB patients were enrolled and randomly assigned to receive either a 14-day monotherapy regimen of 600 mg LZD once daily (QD) or 800 mg CZD twice daily (BID). …”
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Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors by Elham Raiesi Nafchi, Pedram Fadavi, Sepideh Amiri, Susan Cheraghi, Maryam Garousi, Mansoureh Nabavi, Iman Daneshi, Marzieh Gomar, Malihe Molaie, Ali Nouraeinejad

“…We integrated CT image features with dosimetric and clinical data subsequently, ranked 5 supervised ML models Bernoulli Naive Bayes, Decision Tree, Gradient Boosting Decision Trees, K-Nearest Neighbor, and Random Forest on 4 input datasets to predict radiation-induced visual complications classifiers by implementing 5-fold cross-validation. …”
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Verbal paired associates learning lateralizes left hippocampal sclerosis in temporal lobe epilepsy by Andy Sitoh, David Weintrob, Jacqueline F. I. Anderson, Angela R. Jackman, Marie F. O'Shea, Graeme D. Jackson, Piero Perucca, Chris Tailby

“…Methods Retrospective analysis of Rey Auditory Verbal Learning Test (RAVLT) and PAL scores obtained from 116 surgically naïve temporal lobe epilepsy patients with HS (14 bilateral, 57 left, 45 right; range of N across test indices: 77–110). …”
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Evaluation of Machine Learning Algorithms for Classification of Visual Stimulation-Induced EEG Signals in 2D and 3D VR Videos by Mingliang Zuo, Xiaoyu Chen, Li Sui

“…To evaluate classification performance, several classical machine learning algorithms were employed: ssupport vector machine (SVM), k-nearest neighbors (KNN), random forest (RF), naive Bayes, decision Tree, AdaBoost, and a voting classifier. …”
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Utilizing Technology-Enabled Intervention to Improve Blood Glucose Self-Management Outcome in Type 2 Diabetic Patients Initiated on Insulin Therapy: A Retrospective Real-World Stud... by Jian Lin, Xia Li, Shan Jiang, Xiao Ma, Yuxin Yang, Zhiguang Zhou

“…In T2DM patients with poor glycemic control, the application of mobile enabled intervention (LCCP) along with insulin significantly reduced the hypoglycemia while improving glycemic control during period of naïve initiating insulin therapy. Additionally, the high frequency of BG self-monitoring was associated with better glycemic control.…”
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Immunohistochemistry‐based molecular subtypes of urothelial carcinoma derive different survival benefit from platinum chemotherapy by Csilla Olah, Oleksandr Shmorhun, Gilbert Georg Klamminger, Josefine Rawitzer, Lara Sichward, Boris Hadaschik, Mulham Al‐Nader, Ulrich Krafft, Christian Niedworok, Melinda Váradi, Peter Nyirady, Andras Kiss, Eszter Szekely, Henning Reis, Tibor Szarvas

“…Statistical evaluation was performed in 199 patients divided into three chemo‐naïve MIBC cohorts: (1) pT3/4 and/or LN+ patients who received radical cystectomy without platinum treatment, (2) patients who received adjuvant chemotherapy (AC), and (3) patients who underwent palliative platinum treatment for metastatic disease or postoperative progression. …”
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Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh by Ashikur Rahman, Md. Habibur Rahman

“…Six ML-based algorithms were implemented for predicting child mortality, such as Naïve Bayes, Classification and Regression Trees, Random Forest, C5.0 Classification, Gradient Boosting Machine, and Logistic Regression. …”
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