AI-based nanotoxicity data extraction and prediction of nanotoxicity by Eunyong Ha, Seung Min Ha, Zayakhuu Gerelkhuu, Hyun-Yi Kim, Tae Hyun Yoon

“…Among toxicity assessment methods, computational models for predicting nanotoxicity are emerging as alternatives to traditional in vitro and in vivo assays, which involve high costs and ethical concerns. …”
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Adverse predictive value of ASPM on lung adenocarcinoma overall survival depended on chemotherapy status by Yan Zheng, Baichen Sun, Zhiling Qu

“…Objective Transcriptome and proteome analyses may yield inconsistent predictions regarding tumor prognosis. The clinical and pathological significance of ASPM expression in lung adenocarcinoma (LUAD) remains unclear. …”
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Nasal Discharge Eosinophils in Childhood Asthma Patients as a Predictive Factor for Persistent Asthma by Norihide Murayama, Kikuno Murayama

“…This retrospective study investigated whether testing for nasal discharge eosinophils is useful for diagnosing childhood allergic asthma and whether nasal discharge eosinophils are predictive of persistent asthma. Methods. Infants and young children (n=180) with at least 3 recurrent episodes of respiratory symptoms and bronchodilator inhalation improvements at intervals of ≥1 week were divided into the asthma group and the nonasthma group, and the presence or absence of nasal discharge eosinophils was examined by age. …”
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Development and validation of the Tuberculosis Diabetes Mellitus-Predictive Tool (TBDM-PT) in primary care by Muhammad Ikhwan Ismail, Wan Mohd Zahiruddin Wan Mohammad, Rosnani Zakaria, Noor Hashimah Abdullah, Hasniza Abdullah, Mat Zuki Mat Jaeb, Wan Nor Arifin

“…This study sought to develop and validate the Tuberculosis Diabetes Mellitus-Predictive Tool (TBDM-PT) in Kelantan, Malaysia. Methods: This study included 270 patients with DM (with and without TB) from 2019 to 2021 at health clinics in Kelantan. …”
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Incorporating gene expression and environment for genomic prediction in wheat by Jia Liu, Jia Liu, Andrew Gock, Kerrie Ramm, Sandra Stops, Tanya Phongkham, Adam Norman, Russell Eastwood, Eric Stone, Shannon Dillon

“…However, the relative contribution of the transcriptome was reduced.DiscussionOur results show there is a predictive advantage to direct inclusion of the transcriptome for genomic evaluation in wheat breeding for traits where G × E is a factor. …”
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Patients in palliative care-Development of a predictive model for anxiety using routine data. by Sonja Hofmann, Stephanie Hess, Carsten Klein, Gabriele Lindena, Lukas Radbruch, Christoph Ostgathe

“…Using the training set, a multivariable logistic regression model was developed by backward stepwise selection. Predictive accuracy was evaluated by the area under the receiver operating characteristic curve (AUC) based on the test set.…”
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Predictive Significance of Oxygen Transport Values for Assessment of Aqueous Sectors in Severe Concomitant Injury by T. A. Pavlova, Ye. V. Grigoryev, Ye. A. Kameneva

“…The severity of the condition was evaluated using the traumatic shock scale (Dzhanelidze Research Institute of Emergency Care, Saint Petersburg). …”
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Predictive value of Bax inhibitor-1 in contrast induced nephropathy after coronary arteriography by Wei Juan-yu, Zheng Dong-hui

“…ObjectiveTo explore the predictive value of Bax inhibitor-1 （BI-1） in contrast-induced nephropathy （CIN） in patients after coronary arteriography （CAG）.MethodsA total of 126 patients undergoing CAG were recruited from November 2020 to July 2021. …”
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Knowledge distillation with resampling for imbalanced data classification: Enhancing predictive performance and explainability stability by Kazuki Fujiwara

“…This study proposes a novel method combining random undersampling (RUS) with knowledge distillation (KD) to enhance both predictive performance and explainability stability for imbalanced data classification. …”
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Nomogram for predicting pregnancy-related relapse of myasthenia gravis by Manqiqige Su, Xiaoqing Liu, Zongtai Wu, Jie Song, Xiao Huan, Huahua Zhong, Rui Zhao, Chongbo Zhao, Yali Zhang, Sushan Luo

“…A nomogram was constructed to predict relapse probability, with model performance evaluated by discrimination and calibration metrics. …”
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Predictive Value of the Prehospital RACE Scale for Large Vessel Occlusion in Acute Stroke Patients by Anh Tuan Le Truong, Hang Thi Minh Tran, Loc Dang Phan, Huong Bich Thi Nguyen, Trung Quoc Nguyen, Tra Vu Son Le, Duc Nguyen Chiem, Huy Nguyen, Thanh N. Nguyen, Thang Huy Nguyen

“…However, its performance in a Vietnamese population remains unknown. We aimed to evaluate the predictive value of the Rapid Arterial oCclusion Evaluation (RACE) scale for LVO detection in patients with ischemic stroke presenting within 24 h in Vietnam. …”
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Androgen receptor positive triple negative breast cancer: Clinicopathologic, prognostic, and predictive features. by Kristine Astvatsaturyan, Yong Yue, Ann E Walts, Shikha Bose

“…In this study we determine the appropriate threshold of AR immunoreactivity to define AR positive (AR+) TNBC, describe the clinicopathologic features of AR+ TNBC, and discuss the utility of AR positivity as a prognostic and predictive marker in TNBC.<h4>Materials and methods</h4>135 invasive TNBC processed in accordance with ASCO/CAP guidelines, were immunostained for AR. …”
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Benchmarking Variants of Recursive Feature Elimination: Insights from Predictive Tasks in Education and Healthcare by Okan Bulut, Bin Tan, Elisabetta Mazzullo, Ali Syed

“…Our evaluation benchmarks predictive accuracy, feature selection stability, and runtime efficiency. …”
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Predictive Capacity of Different Indicators of Adiposity for Metabolic Syndrome in Adults in the City of Trujillo, Peru by Jorge Luis Díaz-Ortega, Joao Caballero-Vidal, Irma Luz Yupari-Azabache, Juan M. Alva Sevilla, Nelson Enrique Conde-Parada

“…<i>Background and Objectives</i>: Various adiposity indicators have been used to predict metabolic syndrome (MetS). The aim of the present study was to evaluate the predictive ability of known adiposity indicators, such as abdominal girth, girth/height and fat percentage, as well as less commonly used indicators, such as the conicity index (CI), body roundness index (BRI), visceral adiposity index (VAI) and body shape index (ABSI), to predict MetS. …”
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A predictive model to assess the risk of developing hyperlipidemia in patients with type 2 diabetes. by Rujian Ye, Xitong Huang, Hehui Yang, Wei Pan, Ping Wang, Janhao Men, Dawei Huang, Shan Wu

“…<h4>Conclusions</h4>This method effectively predicts the risk of hyperlipidemia in patients with T2D and provides a valuable tool for early intervention. …”
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Predictive ability of the Chinese visceral adiposity index for incident hypertension in working-aged Koreans by Ju Young Jung, Chang-Mo Oh, Hyun chul Jo, Sung Keun Park

“…OBJECTIVES The Chinese visceral adiposity index (CVAI) was developed to assess visceral adipose tissue in the Asian population. This study evaluated the predictive ability of the CVAI for incident hypertension in Korean adults. …”
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Predictive Factors of Secondary Normocalcemic Hyperparathyroidism after Roux-en-Y Gastric Bypass by Claudio Casella, Sarah Molfino, Francesco Mittempergher, Carlo Cappelli, Nazario Portolani

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Predictive performance of the National Early Warning Score 2- Brazilian Version for septic patients by Alldren Silva de Sousa, Giovanna da Rosa Soares, Jaqueline Pereira da Costa, Cristiano Rossa da Rocha, Karina de Oliveira Azzolin, Janete de Souza Urbanetto, Michelle Dornelles Santarem, Rita Catalina Aquino Caregnato

“…Conclusion: National Early Warning Score 2 - Versão Brasileira showed better predictive performance metrics compared to the other scores in the evaluated stages.…”
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Identifying predictive clinical characteristics of the treatment efficacy of mirtazapine monotherapy for major depressive disorder by Tsutsumi T, Sugawara H, Ito R, Asano M, Shimizu S, Ishigooka J, Nishimura K

“…Clinical characteristics were compared between remission and nonremission groups to determine the factors predicting the efficacy. Moreover, discontinuation rates due to adverse effects, including oversedation and jitteriness/anxiety syndrome, were examined, and the effects of confounding factors were evaluated. …”
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The uric acid-to-HDL ratio as a predictive biomarker for depression risk in adult women by Yang Wu, Zhe Wang

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