Injuries in Left Corticospinal Tracts, Forceps Major, and Left Superior Longitudinal Fasciculus (Temporal) as the Quality Indicators for Major Depressive Disorder by Ziwei Liu, Lijun Kang, Aixia Zhang, Chunxia Yang, Min Liu, Jizhi Wang, Penghong Liu, Kerang Zhang, Ning Sun

“…The study included 27 first-episode, drug-naive patients with MDD, 16 first-degree relatives without MDD, and 28 healthy control subjects with no family history of MDD (HC). …”
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Resistance-Associated Substitutions (RAS) and Clinical Factors as Determinants of Sofosbuvir-Daclatasvir Treatment Outcomes in Chronic Hepatitis C Patients by Juferdy Kurniawan, Anugrah Dwi Handayu, Gita Aprilicia, Darlene Raudhatul Bahri, Irsan Hasan

“…Methods: We conducted a prospective longitudinal study in naïve hepatitis C patient population. The virus was examined for RAS by RNA sequencing before starting treatment. …”
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Predicting Patients’ Revisit Intention Based on Satisfaction Scores: Combination of Penalized Regression and Neural Networks by Farshid Abdi, Shaghayegh Abolmakarem, Amir Karbassi Yazdi, Paul Leger, Yong Tan, Giuliani Coluccio

“…In addition to feature selection models such as Random Forest, Genetic Algorithm, and Lasso Regression, the study employs various methods, including Neural Networks, Support Vector Machines, Decision Trees, k-Nearest Neighbors, Rule-based systems, and Naive Bayes algorithms. The analysis of the results indicates that while the Neural Network model shows superior prediction accuracy, the Lasso Regression method is efficient in identifying relevant features. …”
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Time-series forecasting of microbial fuel cell energy generation using deep learning by Adam Hess-Dunlop, Harshitha Kakani, Stephen Taylor, Dylan Louie, Jason Eshraghian, Colleen Josephson

“…Our deep learning-based prediction and simulation framework would allow a fully automated SMFC-powered device to achieve a median 100+% increase in successful operations, compared to a naive model that schedules operations based on the average voltage generated in the past.…”
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NS5A replication complex inhibitor daclatasvir in the basis of chronic hepatitis C interferon-free therapy by M. V. Mayevskaya, M. S. Zharkova, V. T. Ivashkin

“…Prescription of the drug in combination to pegilated interferon and ribavirin for treatment-naive patients made possible to reduce treatment duration from 48 to 24 weeks and to increase frequency of sustained virologic response (SVR) to 87% in 1b genotypeand to 100% — in 4-th genotype. …”
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Assessing the performance of machine learning and analytical hierarchy process (AHP) models for rainwater harvesting potential zone identification in hilly region, Bangladesh by Md. Mahmudul Hasan, Md. Talha, Most. Mitu Akter, Md Tasim Ferdous, Pratik Mojumder, Sujit Kumar Roy, N.M. Refat Nasher

“…Specifically, four ML algorithms—random forest (RF), boosted regression trees (BRT), k-nearest neighbors (KNN), and naïve bayes (NB)—alongside the analytical hierarchy process (AHP) were employed to delineate potential RWH zones in the Chattogram hilly districts, including Chattogram, Rangamati, Bandarban, Khagrachari, and Cox’s Bazar. …”
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RETRACTED: The role of biofield energy treatment on psychological symptoms, mental health disorders, and stress‐related quality of life in adult subjects: A randomized controlled c... by Mahendra Kumar Trivedi, Alice Branton, Dahryn Trivedi, Sambhu Mondal, Snehasis Jana

“…Two sessions of biofield energy attunement were given in‐person at day 0 and 90 for 3 min (treatment group, n = 35) and others allocated to naive attunement (placebo group, n = 42). Subjects were assessed psychological questionnaire scoring using standard scale of assessment and levels of physiological biomarkers in serum were determined by parameter‐specific ELISA. …”
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Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran by Somayeh Kianian Bigdeli, Marjan Ghazisaedi, Seyed Mohammad Ayyoubzadeh, Sedigheh Hantoushzadeh, Marjan Ahmadi

“…The extracted information underwent preprocessing, and six machine learning (ML) methods were developed and evaluated for GDM prediction in the first trimester of pregnancy: decision tree (DT), multilayer perceptron (MLP), k-nearest neighbors (KNN), Naïve Bayes (NB), random forest (RF), and extreme gradient boosting (XGBoost). …”
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Comparable Enhanced Prothrombogenesis in Simple Central Obesity and Metabolic Syndrome by Noor Shafina Mohd Nor, Hanis Saimin, Thuhairah Rahman, Suraya Abdul Razak, Nadzimah Mohd Nasir, Zaliha Ismail, Hapizah Mohd Nawawi

“…A cross-sectional study involving 503 drug naive subjects (163 males, aged 30–65 years old (mean age ± SD = 47.4 ± 8.3 years)) divided into MS, COB and NC groups. …”
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Serum Matrix Metalloproteinase-3 in Comparison with Acute Phase Proteins as a Marker of Disease Activity and Radiographic Damage in Early Rheumatoid Arthritis by Mahmood M. T. M. Ally, Bridget Hodkinson, Pieter W. A. Meyer, Eustasius Musenge, Mohammed Tikly, Ronald Anderson

“…MMP-3 was measured by ELISA in serum samples of 128 disease-modifying, drug-naïve patients and analysed in relation to shared epitope genotype, a range of circulating chemokines/cytokines, acute phase reactants, autoantibodies, cartilage oligomeric protein (COMP), and the simplified disease activity index (SDAI). …”
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Large-scale data mining of four billion human antibody variable regions reveals convergence between therapeutic and natural antibodies that constrains search space for biologics dr... by Pawel Dudzic, Dawid Chomicz, Jarosław Kończak, Tadeusz Satława, Bartosz Janusz, Sonia Wrobel, Tomasz Gawłowski, Igor Jaszczyszyn, Weronika Bielska, Samuel Demharter, Roberto Spreafico, Lukas Schulte, Kyle Martin, Stephen R. Comeau, Konrad Krawczyk

“…The naïve human antibody repertoire has theoretical access to an estimated > 1015 antibodies. …”
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Tau and Aβ42 in lavage fluid of pneumonia patients are associated with end-organ dysfunction: A prospective exploratory study. by Phoibe Renema, Jean-Francois Pittet, Angela P Brandon, Sixto M Leal, Steven Gu, Grace Promer, Andrew Hackney, Phillip Braswell, Andrew Pickering, Grace Rafield, Sarah Voth, Ron Balczon, Mike T Lin, K Adam Morrow, Jessica Bell, Jonathon P Audia, Diego Alvarez, Troy Stevens, Brant M Wagener

“…Pre-clinical data demonstrate that bacterial pneumonia and sepsis elicit the production of cytotoxic tau and amyloids from pulmonary endothelial cells, which cause lung and brain injury in naïve animal subjects, independent of the primary infection. …”
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Novel hormonal agents in men with metastatic castration resistant prostate cancer and reduced performance status: Experiences of a specialized single center by Thomas Büttner, Philipp Lossin, Stefan Latz, Carolin Jacobs, Philipp Krausewitz, Stefan Hauser

“…Methods We conducted an analysis of fifty‐three NHA‐naïve men characterized by attaining mCRPC at an ECOG PS of ≥2 subsequent to androgen deprivation monotherapy between 2008 and 2023. …”
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Infiltrating peripheral monocyte TREM-1 mediates dopaminergic neuron injury in substantia nigra of Parkinson’s disease model mice by Wei Song, Zi-ming Zhou, Le-le Zhang, Hai-feng Shu, Jin-ru Xia, Xia Qin, Rong Hua, Yong-mei Zhang

“…Furthermore, adoptive transfer of TREM-1-expressing monocytes from PD model mice to naive mice induced neuronal damage and motor deficits. …”
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The Ratio of CD226 and TIGIT Expression in Tfh and PD-1+ICOS+Tfh Cells Are Potential Biomarkers for Chronic Antibody-Mediated Rejection in Kidney Transplantation by Ji-wen Fan, Yu Fan, Zheng-li Wan, Lin Yan, Ya-mei Li, Yang-juan Bai, Lan-lan Wang, Jie Chen, Yi Li

“…Compared with stable recipients, CAMR patients had lower naïve B cells and higher unswitched memory B cells, which were also significantly related to renal function (p<0.05). …”
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Regulation of Murine Ovarian Epithelial Carcinoma by Vaccination against the Cytoplasmic Domain of Anti-Müllerian Hormone Receptor II by Cagri Sakalar, Suparna Mazumder, Justin M. Johnson, Cengiz Z. Altuntas, Ritika Jaini, Robert Aguilar, Sathyamangla V. Naga Prasad, Denise C. Connolly, Vincent K. Tuohy

“…AMHR2-CD vaccination significantly inhibited ID8 tumor growth when administered either prophylactically or therapeutically, and protection against EOC growth was passively transferred into naive recipients with AMHR2-CD-primed CD4+ T cells but not with primed B cells. …”
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Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction by Chao Wang, Ruogu Wang, Yuhan Lin, Jiafei Zhang, Xiaofei Xie, Zidan Zhao, Yunlin Xu

“…Compared with traditional support vector machine, BP neural network, KNN and naive Bayes, the improved support vector machine has a higher prediction accuracy, and the average error is only 2.7%. …”
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Evaluating machine learning models for supernova gravitational wave signal classification by Y Sultan Abylkairov, Matthew C Edwards, Daniil Orel, Ayan Mitra, Bekdaulet Shukirgaliyev, Ernazar Abdikamalov

“…We test convolutional and recurrent neural networks, as well as six classical algorithms: random forest, support vector machines, naïve Bayes(NB), logistic regression, k -nearest neighbors, and eXtreme gradient boosting. …”
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Lung Function Abnormalities in Sickle Cell Anaemia by Yvonne A. Dei-Adomakoh, Jane S. Afriyie-Mensah, Audrey Forson, Martin Adadey, Thomas A. Ndanu, Joseph K. Acquaye

“…This was an analytical cross-sectional study involving 76 clinically stable, hydroxyurea-naive adult Hb-SS participants and 76 nonsickle cell disease (non-SCD) controls. …”
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Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan by Moiz Qureshi, Khushboo Ishaq, Muhammad Daniyal, Hasnain Iftikhar, Mohd Ziaur Rehman, S. A. Atif Salar

“…This study analyzes and forecasts the CVD deaths in the Sindh province of Pakistan using classical time series models, including Naïve, Holt-Winters, and Simple Exponential Smoothing (SES), which have been adopted and compared with a machine learning approach called the Artificial Neural Network Auto-Regressive (ANNAR) model. …”
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