Epigenetic Mechanisms in Type-2 Diabetes Mellitus: A Narrative Review by Deenadhayalan Ashok, Monisha Prasad, Mohammad Fareed, Anis Ahmad Chaudhary

“…Epigenetic biomarkers could be helpful for risk assessment, early diagnosis, and tailored therapy for people with T2DM who are at risk or who have already been diagnosed. …”
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MicroRNAs obtained from cervical swabs in predicting preterm birth by Rosalia Purbandari, Suheni Ninik Hariyati

“…Using miRNAs from cervical swabs as potential biomarkers could revolutionize preterm birth risk assessment. This systematic review examines current research on the effectiveness of cervical swab miRNAs in predicting and estimating preterm birth risks, aiming to enhance early detection and management strategies for preterm births. …”
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Enhancing the utility of polygenic scores in Alzheimer’s disease through systematic curation and annotation by Savannah Mwesigwa, Yulin Dai, Nitesh Enduru, Zhongming Zhao, Zhongming Zhao

“…This framework can be extended to other complex diseases or traits, facilitating broader applications in genetic risk assessment.…”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…One notable area of recent development is the incorporation of uncertainty estimation techniques in machine learning models, which allow for more precise risk assessment in unpredictable financial environments. …”
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Frequency and Predictors of Pneumonia After Isolated Coronary Artery Bypass Grafting (CABG): A Single-Center Study by Ozgur Baris, Tugba Asli Onyilmaz, Huseyin Kaya

“…These findings underline the importance of preoperative risk assessment and optimization. Early identification of high-risk patients may allow targeted strategies such as enhanced respiratory support and prophylactic antibiotics to reduce the incidence of pneumonia and improve clinical outcomes.…”
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Subjective and objective vestibular changes that occur following paediatric cochlear implantation: systematic review and meta-analysis by Michael Yong, Emily Young, Jane Lea, Hannah Foggin, Erica Zaia, Frederick K. Kozak, Brian D. Westerberg

“…Separate analyses were conducted for each individual study and a pooled analysis was conducted to yield an overall relative risk. Assessment on risk of bias in individual studies and overall was performed. …”
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Development and validation of a risk prediction model for acute kidney injury in coronary artery disease by Ming Ye, Chang Liu, Duo Yang, Hai Gao

“…The nomogram provided a practical tool for AKI risk assessment. Conclusion This study introduced a refined AKI risk prediction model for CAD patients. …”
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Designing and incorporating integrated oral health care pathways for pediatric and adult patients: touchpoints in a dental setting by Talieh Mahmoud Hashemi, Mahdia Gholami, Mohammad Reza Khami, Simin Z. Mohebbi, Armin Shirvani

“…Details, including risk assessment, follow-up times, related home care, and preventive interventions that should be conducted by dental students, were included in the care pathways. …”
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Metabolic Risk Factors of Alzheimer’s Disease, Dementia with Lewy Bodies, and Normal Elderly: A Population-Based Study by Chih-Kuang Cheng, Yu-Chien Tsao, Yuan-Chih Su, Fung-Chang Sung, Hsu-Chih Tai, Woon-Man Kung

“…AD patients, DLB patients, and normal control (NC) individuals from 1996 to 2013 were enrolled for risk assessment. Results. In total, 7544 NC individuals, 1324 AD patients, and 562 DLB patients were enrolled. …”
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Diagnosis of Coronary Heart Disease Through Deep Learning-Based Segmentation and Localization in Computed Tomography Angiography by Bo Zhao, Jianjun Peng, Ce Chen, Yongyan Fan, Kai Zhang, Yang Zhang

“…The segmentation outcomes are clinically significant as they provide quantitative assessments of arterial stenosis, plaque characterization, and ischemia-prone regions, supporting risk assessment and treatment planning. Trained and evaluated on the CorArtTS2020 dataset, TransCHD achieved superior performance compared to state-of-the-art CNN- and transformer-based models, with a Dice score of 0.81 and an Intersection over Union (IoU) of 0.65. …”
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Perceptions of healthcare professionals on the use of a risk prediction model to inform atrial fibrillation screening: qualitative interview study in English primary care by Chris Gale, Jianhua Wu, Ramesh Nadarajah, Catherine Reynolds, Ellen Hamilton, Lydia Shone

“…Data were thematically analysed and synthesised to understand barriers and facilitators to AF screening and guiding screening using risk assessment.Setting Five primary care practices in England taking part in the FIND-AF study.Participants 15 HCPs (doctors, nurses/nurse practitioners, healthcare assistants, receptionists and practice managers).Results Participants knew the health implications of AF and were supportive of the risk prediction models for AF screening. …”
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Comparison of the extraction efficiencies of four different solvents used in trace metal digestion of selected soils within Abakaliki, Nigeria by NO Omaka, IF Offor, ER Chukwu, U Ewuzie

“…ANOVA depicted no significant difference in mean trace metals contents of soils from mechanic workshops as extracted with all solutions, while other locations did. For risk assessment, only Cd, Ni and Pb had their values within the regulatory limits, whereas others were above the limits in all samples from different locations.…”
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Effects of Balance and Proprioceptive Exercises on the Balance of Ice Hockey Players and the Risk of Lower Limb Injuries by Agnė Karvelytė, Saulė Sipavičienė

“…Before and after the study, static balance was assessed by the flamingo test, dynamic balance and lower extremity injury risk by the modified star excursion test, and injury risk assessment using the Functional Movement Assessment. …”
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The Modified Frailty 5-Factor Index Predicts Adverse Outcomes After Ventral Hernia Repair in a National Database by Allison L. Diaz, BS, Wen-Yu Lee, MS, Cheongeun Oh, PhD, Laura L. Kimberly, PhD, MSW, MBE

“…Ventral hernia repair (VHR) is a common procedure performed on a comorbid patient population at risk for complications, necessitating effective preoperative risk assessment. Previous research suggests that frailty better predicts adverse outcomes compared with historical risk proxies including age. …”
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Biological properties of foot-and-mouth disease virus А 2205/G-IV strain by M. V. Sidorovskaya, S. N. Fomina, V. V. Nikiforov, T. A. Komarova, M. A. Shevchenko, N. A. Kolchanov, S. R. Kremenchugskaya

“…Therefore, the issues of FMD introduction risk assessment and timely diagnosis are relevant for the Veterinary Service of Russia. …”
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Air pollution, temperature and mumps: A time-series study of independent and interaction effects by Haoyue Cao, Rongrong Xu, Xiqian Lu, Wenguo Jiang, Lihua Wang, Miao Yu, Wenjun Wang, Juxiang Yuan

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The Naples Score: Can it Outperform Existing Scores in Predicting Gastric Cancer Mortality? by Bahadır Kartal, Mehmet Berksun Tutan, Fatih Şahin, Ertugrul Gazi Alkurt

“…Its superior predictive accuracy suggests that the PNI can be utilized to enhance risk assessment and guide nutritional interventions in gastric cancer patients undergoing surgery.…”
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Comparing Clean Water Act Section 316(b) Policy Options by John Kadvany

“…Three simplified policy options are considered, each with a different implicit or explicit AEI approach: (1) a technology-driven rule based on a strict reading of the 316(b) regulatory text, and for which any impingement and entrainment count as AEI, (2) a complementary, open-ended risk-assessment process for estimating population effects with AEI characterized on a site-specific basis, and (3) an intermediate position based on proxy measures such as specially constructed definitions of littoral zone, sensitive habitat, or water body type. …”
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Humanising nanotoxicology: replacement of animal-derived products in the application of integrated approaches to testing and assessment of nanomaterial inhalation hazard by Roma Fraser, Keira Campbell, Pawel Pokorski, Eve MacKinnon, Katie McAllister, Karla B. Neves, Fiona Murphy

“…This has prompted the design of Novel Approach Methods (NAMs) to streamline risk assessment and predict human hazards without relying on animal testing. …”
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Indoor Black Carbon Concentrations and their Sources in Residential Environments: Validation of an Input-adaptive Proxy Model by Jiangyue Zhao, Pak Lun Fung, Martha Arbayani Zaidan, Birgit Wehner, Kay Weinhold, Alfred Wiedensohler, Tareq Hussein

“…With the aid of this model, a more accurate prediction of indoor eBC mass concentration and the resulting exposure and health risk assessment can be achieved for households under similar climatic conditions and activity habits of the occupants, e.g., in Central Europe.…”
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