TcPO2 as a Predictor of Limb Salvage or Amputation in Patients of Critical Limb Ischemia by Rahul Merkhed, Vikram Patra, Rishi Dhillon, Rohit Mehra, CVNM Dattatreya, Ramandeep Kaur, Gagandeep Singh Vohra, Surjeet Dwivedi

“…Among various non-invasive diagnostic tools, Transcutaneous Oximetry (TcPO2) has garnered attention, yet a consensus on predictive cutoff levels remains elusive in the literature. …”
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Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score by Mike Nsubuga, Timothy Mwanje Kintu, Helen Please, Kelsey Stewart, Sergio M. Navarro

“…The Kampala Trauma Score (KTS) is frequently used for triage in these settings, though its predictive accuracy remains under debate. This study evaluates the effectiveness of machine learning (ML) models in predicting triage decisions and compares their performance to the KTS. …”
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Non-HDL-c/TC: A Novel Lipid-Related Marker in the Assessment of Severity of Coronary Artery Lesions and Cardiovascular Outcomes by Anan Huang, Xin Qi, Liping Wei, Mingyin Zhang, Shiqi Zhou

“…Non-high-density lipoprotein cholesterol (non-HDL-c) predicts the severity of coronary artery lesions in patients not treated with statin. …”
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In silico characterisation of the avocado WAK/WAKL gene family with a focus on genes involved in defence against Phytophthora cinnamomi by Aaron Harvey, Aaron Harvey, Noëlani van den Berg, Noëlani van den Berg, Velushka Swart, Velushka Swart

“…Phylogenetic and promoter analyses were conducted to predict associated defence-related pathways, focusing on stress and phytohormone-responsive pathways. …”
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Geospatial digital mapping of soil organic carbon using machine learning and geostatistical methods in different land uses by Yahya Parvizi, Shahrokh Fatehi

“…However, the RF model (R2 = 0.64 and RMSE = 0.58%) was the most accurate in predicting SOC quantity comparing the other simulation models. …”
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Triglyceride glucose-waist circumference as a useful predictor for diabetes mellitus: a secondary retrospective analysis utilizing a Japanese cohort study by Yawei Li, Linlin Shan, Qiong Wen, Changchun Cao, Meiling Huang, Chunxia Zhang, Xiaoping Li, Kun Wang, Tianlun Zhou, Fubing Zha, Yulong Wang

“…Abstract Background and objective While the connection between the Triglyceride glucose-waist circumference (TyG-WC) index and the risk of diabetes remains understudied, this particular research delves into the potential predictive value of the TyG-WC index within a significant Japanese population. …”
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Regular Voluntary Exercise Potentiates Interleukin-1β and Interleukin-18 Secretion by Increasing Caspase-1 Expression in Murine Macrophages by Ken Shirato, Kazuhiko Imaizumi, Takuya Sakurai, Junetsu Ogasawara, Hideki Ohno, Takako Kizaki

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Normative Values for Londrina ADL Protocol in Healthy Individuals in Age Group of 40–60 Years among Indian Population: A Cross-Sectional Study by Uttanoor Sreedevi, Gopala Krishna Alaparthi, Shyam krishnan, Kalyana Chakravarthy Bairapareddy, R. Anand, Vishak Acharya

“…The reference equation to predict reference values for the Londrina ADL protocol was as follows: equation (1): Londrina ADL predicted = 1.205 + (0.054 × age (years)) + (0.001 × height (cm)); equation (2): Londrina ADL predicted = 1.374 + (0.054 × age (years)) + (−0.003 × BMI). …”
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Application of the weighted histogram method for calculating the thermodynamic parameters of the formation of oligodeoxyribonucleotide duplexes by I. I. Yushin, V. M. Golyshev, D. V. Pyshnyi, A. A. Lomzov

“…These parameters can be calculated only for a few NA derivatives: locked NAs, bridged oligonucleotides, and peptide NAs. Existing predictive approaches are based on an analysis of experimental data and the consequent construction of predictive models. …”
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Physiology‐based pharmacokinetic model with relative transcriptomics to evaluate tissue distribution and receptor occupancy of anifrolumab by Pradeep Sharma, David W. Boulton, Lynn N. Bertagnolli, Weifeng Tang

“…The model also predicted high IFNAR1 occupancy with subcutaneous and intravenous anifrolumab dosing. …”
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Determining the appropriate resting energy expenditure requirement for severe trauma patients using indirect calorimetry in Korea: a retrospective observational study by Hak-Jae Lee, Sung-Bak Ahn, Jung Hyun Lee, Ji-Yeon Kim, Sungyeon Yoo, Suk-Kyung Hong

“…The concordance rate, which the predictive REE differs from the measured REE value within 10%, was up to 36.2%. …”
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Meta-Analysis of Expression Profiling Data Indicates Need for Combinatorial Biomarkers in Pediatric Ulcerative Colitis by Xinxiu Li, Eun Jung Lee, Danuta R. Gawel, Sandra Lilja, Samuel Schäfer, Huan Zhang, Mikael Benson

“…We also found limited overlap between pathways and predicted upstream regulators in colonic biopsies and WBC. …”
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Comparison of mucosal microbiota populations across the gastrointestinal tract of healthy dogs by Ching-Yen Lin, Tzu-Wen L. Cross, Kelly S. Swanson

“…Age and diet of dog did not significantly impact the taxonomy or predicted functional capacities of the mucosal microbiota. …”
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Factors associated with dysmenorrhoea and menorrhagia improvement in patients with adenomyosis after uterine artery embolisation by Siqi Hu, Wenbo Guo, Song Chen, Zhiqiang Wu, Wenquan Zhuang, Jianyong Yang

“…A receiver operating characteristic (ROC) analysis was used to determine a cut-off point and predict the improvement of dysmenorrhoea and menorrhagia.Results Forty-eight patients were included. …”
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Application Effect of Transparent Supervision Based on Informatization in Prevention and Control of Carbapenem-Resistant Klebsiella pneumoniae Nosocomial Infection by Xiaoqin Wu, Quansheng Lu, Guo Feng, Hongxia Kan, Liran Shi

“…To explore the effect of transparent supervision model on the prevention and control of carbapenem-resistant Klebsiella pneumoniae (CRKP) nosocomial infection and the value of the autoregressive integrated moving average (ARIMA) model in predicting the incidence of CRKP infection. Methods. …”
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A new strategy for modelling sonochemical reactors: Coupling of the non-linear Louisnard model with mass and heat transport equations with applications to cavitating viscous fluids by Quinten Goris, Ariana Bampouli, Mohammed Noorul Hussain, Olivier Louisnard, Georgios D. Stefanidis, Tom Van Gerven

“…Specifically, viscous losses were implemented in the non-linear Louisnard model, and model predictions were validated against experimental data. …”
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Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer’s Disease Therapy by Junyu Zhou, Chen Li, Yong Kwan Kim, Sunmin Park

“…The top five food sources of these predicted compounds were black walnut, safflower, ginger, fig, corn, and pepper. …”
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Predictors of Stent Restenosis in Han and Uygur Patients with Coronary Heart Disease after PCI in the Xinjiang Region by Jiao Wang, Yuchun Yang, Lei Zhang, Pengyi He, Huyati Mu

“…The predictive efficiency of the Gensini score and ApoB level for ISR in Uygur patients was higher than that in Han, while the predictive efficiency of levels of ApoAI and MCH for ISR in Han patients was higher than that in Uygur (P<0.05). …”
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Dynamic Impact of the Sleep Disorder, Depression and Anxiety on the Cognitive Function in the First-Episode Depressive Patients by Zhang W, Zhou N, Li J

“…Changes in depressive status negatively predictability of its cognitive function (p=0.005). Changes in sleep status negatively predict cognitive function (p=0.099). …”
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Development of a Prognostic Nomogram Incorporating the Naples Prognostic Score for Postoperative Oral Squamous Cell Carcinoma Patients by Xu XL, Cheng H

“…In the training cohort, the nomogram’s concordance index (C-index) for predicting DFS and OS was 0.701 and 0.693, respectively. …”
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