Comment on article “A Simple Classification of Pancreatic Duct Size and Texture Predicts Postoperative Pancreatic Fistula: A Classification of the International Study Group of Pancreatic Surgery” by Jinlong Hu, MD, Yanfei Yang, MD

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The predictive value of the serum creatinine-to-albumin ratio (sCAR) and lactate dehydrogenase-to-albumin ratio (LAR) in sepsis-related persistent severe acute kidney injury by Xiaoxiao Luo, Dongyang Liu, Cuicui Li, Jia Liao, Wuyang Lv, Yuchen Wang, Ruxue Diao, Yingyu Jin

“…The Kaplan–Meier curve was used to evaluate the prognosis predictive ability of the risk model. Results Logistic regression analysis indicated that sCAR and LAR independently predicted persistent severe SA-AKI. …”
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Land Use Modeling and Predicted Ecosystem Service Value Under Different Development Scenarios: A Case Study of the Upper–Middle Yellow River Basin, China by Mingwei Ma, Yuhuai He, Yanwei Sun, Huijuan Cui, Hongfei Zang

“…The land use pattern in 2035 was predicted using Cellular Automata and Markov models under business as usual (BAU), ecological protection (EPS), and high urbanization (HUS) scenarios. …”
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Deep learning-based CT radiomics predicts prognosis of unresectable hepatocellular carcinoma treated with TACE-HAIC combined with PD-1 inhibitors and tyrosine kinase inhibitors by Linan Yin, Ruibao Liu, Wei Li, Shijie Li, Xunbo Hou

“…The AUC of the external validation cohort was 0.85, with accuracy of 79.1%, precision of 73.6%, and f1-score of 0.784. In the PFS prediction model, the predicted AUC for 12 months, 18 months, and 24 months-PFS in the training cohort were 0.874, 0.809, 0.801, respectively. …”
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Dynamics of blood microsatellite instability (bMSI) burden predicts outcome of a patient treated with immune checkpoint inhibitors: a case report of hyperprogressive disease by Daria Kravchuk, Alexandra Lebedeva, Alexandra Lebedeva, Olesya Kuznetsova, Olesya Kuznetsova, Alexandra Kavun, Anastasiia Taraskina, Ekaterina Belova, Ekaterina Belova, Ekaterina Belova, Tatiana Grigoreva, Tatiana Grigoreva, Egor Veselovsky, Vladislav Mileyko, Vladislav Mileyko, Vladislav Nikulin, Lidia Nekrasova, Alexey Tryakin, Mikhail Fedyanin, Mikhail Fedyanin, Mikhail Fedyanin, Maxim Ivanov, Maxim Ivanov

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Predicting Factors Affecting Survival Rate in Patients Undergoing On‐Pump Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review by Alireza Jafarkhani, Behzad Imani, Soheila Saeedi, Amir Shams

“…ABSTRACT Background and Aim Coronary artery bypass grafting (CABG) is a key treatment for coronary artery disease, but accurately predicting patient survival after the procedure presents significant challenges. …”
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Development and validation of a novel risk-predicted model for early sepsis-associated acute kidney injury in critically ill patients: a retrospective cohort study by Bo Li, Kun Zhang, Cong-Cong Zhao, Zi-Han Nan, Yan-Ling Yin, Li-Xia Liu, Zhen-Jie Hu

“…Objectives This study aimed to develop a prediction model for the detection of early sepsis-associated acute kidney injury (SA-AKI), which is defined as AKI diagnosed within 48 hours of a sepsis diagnosis.Design A retrospective study design was employed. …”
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MRI-based deep learning and radiomics for predicting the efficacy of PD-1 inhibitor combined with induction chemotherapy in advanced nasopharyngeal carcinoma: A prospective cohort study by Yiru Wang, Fuli Chen, Zhechen Ouyang, Siyi He, Xinling Qin, Xian Liang, Weimei Huang, Rensheng Wang, Kai Hu

“…The model's performance was assessed using Receiver Operating Characteristic (ROC) curve analysis, area under the curve (AUC), accuracy (ACC), and negative predictive value (NPV). Results: Twenty-one prediction models were constructed. …”
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A Comprehensive Genetic Analysis of Mycotoxin-Producing Penicillium expansum Isolated from River Water Using Molecular Profiling, DNA Barcoding, and Secondary Structure Prediction by R. Ravikiran, G. Raghu and B. Praveen

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Development and Validation of the RCOS Prognostic Index: A Bedside Multivariable Logistic Regression Model to Predict Hypoxaemia or Death in Patients with SARS-CoV-2 Infection by Gerardo Alvarez-Uria, Sumanth Gandra, Venkata R. Gurram, Raghu P. Reddy, Manoranjan Midde, Praveen Kumar, Ketty E Arce

“…When the prognostic index was used to predict mortality in the validation cohort, the AUROCC was 0.947 (95% CI, 0.925–0.97) and the Brier score was 0.0188. …”
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Psychological detachment from work predicts mental wellbeing of working-age adults: Findings from the 'Wellbeing of the Workforce' (WoW) prospective longitudinal cohort study. by Holly Blake, Juliet Hassard, Louise Thomson, Wei Hoong Choo, Teixiera Dulal-Arthur, Maria Karanika-Murray, Lana Delic, Richard Pickford, Lou Rudkin

“…<h4>Background</h4>There is an urgent need to better understand the factors that predict mental wellbeing in vocationally active adults during globally turbulent times.…”
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Complexity: Frontiers in Data-Driven Methods for Understanding, Prediction, and Control of Complex Systems 2022 on the Development of Information Theoretic Model Selection Criteria for the Analysis of Experimental Data by Andrea Murari, Michele Lungaroni, Riccardo Rossi, Luca Spolladore, Michela Gelfusa

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Retracted: Human Health Risk Prediction Method of Regional Atmospheric Environmental Pollution Sources Based on PMF and PCA Analysis under Artificial Intelligence Cloud Model by International Journal of Analytical Chemistry

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Is Bigger Better? Living Donor Kidney Volume as Measured by the Donor CT Angiogram in Predicting Donor and Recipient eGFR after Living Donor Kidney Transplantation by Chaudhry Adeel Ebad, David Brennan, Julio Chevarria, Mohammad Bin Hussein, Donal Sexton, Douglas Mulholland, Ciaran Doyle, Patrick O’Kelly, Yvonne Williams, Ruth Dunne, Conall O’Seaghdha, Dilly Little, Martina Morrin, Peter J. Conlon

“…The role of kidney volume measurement in predicting the donor and recipient kidney function is not clear. …”
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Development of Predictive Models for Progression from Diabetic Kidney Disease to End-Stage Renal Disease in Type 2 Diabetes Mellitus: A Retrospective Cohort Study by Hu H, Mu X, Zhao S, Yang M, Zhou H

“…Among 85 patients with biopsy-proven diabetic DKD, the combined prognostic model integrating KFRE, interstitial fibrosis and tubular atrophy (IFTA), SII and BMI demonstrated enhanced predictive ability at 5 years. The developed models offer improved accuracy over existing methods by incorporating renal pathology and novel inflammatory indices, making them more applicable in clinical settings.Conclusion: The predictive model proved to be effective in assessing the progression of DKD to ESRD. …”
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The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis by Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Refilwe Nancy Phaswana-Mafuya

“…Despite the availability of relevant survey data, there exists a research gap in using machine learning (ML) to analyze and predict HIV testing among adults in South Africa. …”
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Development and Validation of a Nomogram to Predict Type 2 Diabetes Mellitus in Overweight and Obese Adults: A Prospective Cohort Study from 82938 Adults in China by Qingqing Liu, Jie Yuan, Maerjiaen Bakeyi, Jie Li, Zilong Zhang, Xiaohong Yang, Fangming Gao

“…The calibration curves indicated well agreement between the probability as predicted by the nomogram and the actual probability. …”
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Global, regional, national prevalence, mortality, and disability-adjusted life-years of cutaneous squamous cell carcinoma and trend analysis from 1990 to 2021 and prediction to 2045 by Chengling Liu, Xingchen Liu, Pengjuan Cao, Xin Li, Haiming Xin, Sailin Zhu

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Use of Machine Learning to Predict Individual Postprandial Glycemic Responses to Food Among Individuals With Type 2 Diabetes in India: Protocol for a Prospective Cohort Study by Niteesh K Choudhry, Shweta Priyadarshini, Jaganath Swamy, Mridul Mehta

“…Results from our study will generate data to facilitate the creation of machine learning models to predict individual PPGR responses and to facilitate the prescription of personalized diets for individuals with T2D. …”
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Development and Validation of a Predictive Model Based on Serum Silent Information Regulator 6 Levels in Chinese Older Adult Patients: Cross-Sectional Descriptive Study by Yuzi You, Wei Liang, Yajie Zhao

“…ConclusionsSIRT6 shows promise in predicting CAD, with enhanced predictive abilities when combined with the TyG index. …”
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