Cancer/testis antigens FBXO39 and CEP55 expression correlates with survival in GBM patients. by Parisa Azimi, Maryam Bazrgar, Taravat Yazdanian, Mehdi Totonchi, Abolhassan Ahmadiani

“…Overall survival (OS) of GBM patients in the TCGA and CGGA databases as a function of the expression of key CTA genes was considered to identify those whose expression significantly predicts patient survival. The predictive values of our candidate genes were then tested using our independent cohort (n = 29) using an RT-qPCR approach.…”
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Epidemiological Manifestations and Risk Assessment of Melanoma and other Skin Cancers in Altaiskiy Krai by A. I. Blokh, V. L. Stasenko

“…The nonlinear extrapolation method was used to calculate the predicted values for the next ten years. Results. The melanoma and other skin cancers incidence rates in the population of Altaiskiy krai in the study period were 5.7 (95% CI 5.4 – 6.0) and 63.4 (95% CI 62.4 – 64.4) per 100 th population and tended to increase (5.2 and 3.1% per year, respectively), which was due to both demographic processes (42.1 and 68.6% respectively), and activation of risk factors (80.6 and 66.7%, respectively). …”
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Clinical experience of genome-wide non-invasive prenatal testing as a first-tier screening test in a cohort of 59,771 pregnancies. by Jianxin Zhen, Liting Zhang, Huilin Wang, Xi Chen, Weihong Wang, Lili Li, Quanfu Zhang

“…Follow-up analysis demonstrated that GW-NIPT sensitivity exceeded 97% for fetal aneuploidies and was 63.6% for CNV (≥5 Mb). The positive predictive values for T21, T18, T13, sex chromosome aneuploidy, rare autosomal aneuploidy, and CNV (≥5 Mb) were calculated as 83.1%, 25.8%, 10.3%, 51.9%, 2.0%, and 33.9%, respectively. …”
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Cytology’s New Frontier: The Sydney System’s Innovative Approach to Lymph Node Diagnosis by Nidhi Choudhari, Meghashree V, Vidhya Subramaniam, Sudha M, Prajna K S

“…Diagnostic performance was evaluated using metrics such as sensitivity, specificity, predictive values, and malignancy risk estimates. Results: 60 cases were evaluated by FNAC. …”
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Evaluation of point-of-care tests for detecting microalbuminuria in diabetic patients by M.M. Lloyd, J. Kuyl, H. van Jaarsveld

“…Positive and negative predictive values for the HemoCue® were 95.6% and 85.8%, and were 88.6% and 91.0% the Clinitek®. …”
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Predictive factors for failure of high flow nasal cannula among children with lower respiratory tract infection: A single center retrospective observational study. by Phanthila Sitthikarnkha, Rattapon Uppala, Apichaya Thiraratananukulchai, Prapassara Sirikarn, Leelawadee Techasatian, Suchaorn Saengnipanthkul, Sirapoom Niamsanit

“…<h4>Conclusion</h4>SpO2/FiO2 at 4 hours after initiating HFNC appeared to be a predicting value for early detected failure for HFNC therapy in children with LRTI. …”
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Theoretical and experimental quantification of Suzuki segregation enthalpy and strengthening mechanisms in a binary alloy by Victoria Tucker, Dongsheng Wen, Victoria Cooley, Jun-Sang Park, Michael S. Titus

“….% Co, which is 2.2 at.% less than the predicted value at the same temperature. We also find that the segregation enthalpy measured from the composition profile is −21.1 ± 6.4 meV/atom and separately from differential scanning calorimetry segregation enthalpy is −66 meV/atom, whereas the predicted enthalpy is −31 ± 1 meV/atom. …”
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Mechanical and Bond-Slip Properties of Steel-Fiber-Reinforced Geopolymer Recycled-Aggregate Concrete by Jianhua Ji, Zening Zhang, Yi Zhang, Xi Liu

“…The mean and covariance of the ratio of the predicted value of the probability model to the test value are 1.14 and 2.61, respectively. …”
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Association of serum Netrin-1, NSE, and S100β with brain injury severity and prognosis in patients with sepsis-associated encephalopathy by Bo Zhang, Qiong Wu, Jing Wu

“…Independent risk factors for short-term mortality were identified, and the predictive values of these biomarkers were assessed both individually and in combination. …”
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The Influence of Working in Stone Crushing Factories on Specific Respiratory Parameters by Belal Rahhal, Raya Sinnokrot, Omar Abuzant, Samah Shahin, Amany Masalmeh, Wala Jarrar

“…The results were compared to the mean of the measured predictive values. It is concluded that working in stone-cutting factories influences the respiratory function in a negative way, and so necessitates urgent intervention to prevent health complications.…”
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Long-Term Exposure to Primary Traffic Pollutants and Lung Function in Children: Cross-Sectional Study and Meta-Analysis. by Francesco Barone-Adesi, Jennifer E Dent, David Dajnak, Sean Beevers, H Ross Anderson, Frank J Kelly, Derek G Cook, Peter H Whincup

“…We combined results from the meta-analysis with the distribution of the values of FEV1 in CHASE to estimate the prevalence of children with abnormal lung function (FEV1<80% of predicted value) expected under different scenarios of NO2 exposure. …”
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Leak detection characteristics of point and line sensors for foundational data in smart safety management systems by Hyeon-Ki Lee, Tae-Woong Park, Hyeong-Soo Kim, Hyeong-Joo Kim

“…Both measured and predicted values confirmed that the minimum detectable concentrations were at least 0.2 % for point sensors and at least 0.4 % for line sensors. …”
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A Mixed-method Study on the Implementation of a Medical Psychiatric Care Unit by Chedwa Pinto, Maaike Meeder, Jan Busschbach, Witte Hoogendijk, Jelmer Alsma, Isabelle Fabbricotti, Maarten van Schijndel

“…Physicians report that the MPU improves care quality, job satisfaction, collaboration, safety, educational value and reduces stigmatization. • 2a. Among 62 referrals, the MPU admitted nearly twice the disruptive patients. • 2b. …”
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Accuracy and feasibility analysis of computational chemistry in drug spectral simulation—a case study of acetylsalicylic acid by Haitao Cao, Junjian Zeng, Lixin Xue

“…Objectives This study aims to demonstrate the feasibility and educational value of integrating computational methods into drug synthesis and analysis, using acetylsalicylic acid (ASA) as a case study. …”
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Learning technology for Ayurveda with pedagogically designed virtual patient case simulations by Prema Nedungadi, Prema Nedungadi, Rammanohar Puthiyedath, Romita Jinachandran, Shyamasundaran Kulangara, Sushma Naranappa Salethoor, Mandip Goyal, Nagarajan Chockan, Anup Thakur, Raghu Raman, Raghu Raman

“…Participants commended the intuitive interface, immersive learning experience, and educational value. Suggested improvements included integrating AR/VR technologies, expanding clinical content across disciplines, and multilingual support.DiscussionAyurSIM effectively bridges traditional Ayurveda education with modern methodologies, providing culturally responsive, practical learning experiences. …”
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Predicting visual acuity of treated ocular trauma based on pattern visual evoked potentials by machine learning models by Hongxia Hao, Jiemin Chen, Yifei Yan, Yifei Yan, Qi Zhang, Qi Zhang, Zhilu Zhou, Wentao Xia

“…Various ophthalmic parameters were input into the above algorithms for model training, and the performance of the algorithms was analyzed from the difference between the prediction value and the ground truth. Among the BCVA measured at least 6 months after injury was set as the ground truth. …”
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Evaluation of Diagnostic Value in Using a Panel of Multiple Tumor-Associated Antigens for Immunodiagnosis of Cancer by Peng Wang, Chunhua Song, Weihong Xie, Hua Ye, Kaijuan Wang, Liping Dai, Yi Zhang, Jianying Zhang

“…In different types of cancer, the ranges of positive and negative likelihood ratio were 4.07–4.76 and 0.39–0.51, respectively, and the ranges of positive and negative predictive values were 74.2–88.7% and 58.8–75.8%, respectively. …”
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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

“…Furthermore, SA-Fit introduces explicit functions with a lasso penalty to fit variations in high-dimensional meteorological data, achieving the prediction of a large amount of data with minimal prediction values. We performed experiments using the ERA5 dataset from the Shanghai and Xi’an regions. …”
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PD-L1 on Circulating Tumor Cells Indicates Poor Prognosis in Breast Cancer by Xue-fei Wang, Guo-chao Zhang, Sha-fei Wu, Jia-xin Li, Qiang Sun

“…Besides, the best cell type for determining the prognostic and predictive values of PD-L1 has not been established. This study investigated associations between PD-L1 on tumor cells (TCs), CTCs, and tumor-infiltrating immune cells (TIICs), respectively, and prognosis and clinicopathological features in breast cancer. …”
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Optimization of Enzymatic Hydrolysis Process and Characterization of ACE Inhibitory Peptide from Squid Skin by Zhe ZHANG, Lingyun MA, Fanfan SHANG, Yihui LIU, Qingchao XIE, Yong ZHAO

“…Under these parameters, the ACE inhibitory rate of the hydrolyzed squid skin product reached 88.22%±1.28%, closely with the predicted value. The IC50 for the ACE inhibitory rate of the squid skin peptides was calculated to be 2.839 mg/mL, with a molecular weight distribution predominantly below 3 kDa, accounting for 93.68% of the total. …”
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