Bind: large-scale biological interaction network discovery through knowledge graph-driven machine learning by Naafey Aamer, Muhammad Nabeel Asim, Aamer Iqbal Bhatti, Andreas Dengel

“…Traditional wet-lab approaches for identifying these interactions are expensive, time-consuming, and error-prone. No unified platform currently exists where biologists can predict and analyze multiple types of biological relationships comprehensively, limiting our ability to discover new therapeutic applications and fully understand interconnected biological mechanisms. …”
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Preliminary insights into the effects of spinal manipulation therapy of different force magnitudes on blood biomarkers of oxidative stress and pro-resolution of inflammation mediat... by Felipe C. K. Duarte, Martha Funabashi, David Starmer, Wania A. Partata

“…However, 800 N appeared to transitorily increase these pro-oxidant parameters with a further transitory reduction in plasma total antioxidant capacity and resolvin D1 mediator. Conclusion Despite the small sample size, which elevates the risk of type II error (false negatives), and the interruption of recruitment caused by the pandemic, our findings appeared to indicate that different single SMT force-time characteristics presented contrasting effects on the systemic redox signalling biomarkers and pro-resolution of inflammation mediators in healthy participants. …”
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AI-based automatic patient positioning in a digital-BGO PET/CT scanner: efficacy and impact by John A. Kennedy, Tala Palchan-Hazan, Zohar Keidar

“…Results The phantom validation study gave < 1.6 mm error in 15 off-centering measurements. Patient off-centering was biased 1.92 ± 1.79 cm (mean ± standard deviation) in the posterior direction which was significantly different from the 0.22 ± 1.21 cm bias in the left lateral direction (p < 0.0001, Wilcoxon). …”
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Psychometric properties of the Chinese version physical literacy assessment questionnaire among high school students in Gansu, China by Zilu Qu, Jiarun Wu, Yee Cheng Kueh, Dongqing Ye, Garry Kuan

“…Confirmatory factor analysis (CFA) assessed model fit using standardized root mean square residual (SRMR), root mean square error of approximation (RMSEA), Tucker-Lewis index (TLI), and comparative fit index (CFI) indices. …”
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The prognostic value of immunoscore in the early-onset colorectal cancer by Xinchun Wu, Sen Hou, Yingjiang Ye, Zhidong Gao

“…The Post-hoc power analysis showed the type II error probability (β) of univariate Cox analysis for overall survival with a hazard ratio of 5.82 was 0.282 (28.2%), while for progression free survival with a hazard ratio of 3.68, β was 0.006 (0.6%). …”
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Intraosseous access: a simulation analysis by Antov Miki, Bartolomeo Rinaldi, Bergesio Giorgio, Vallana Vittoria, Roasio Agostino

“…Among nurses and students, data of the success of the procedure show significant results, but the difference between subgroups is still lower than expected considering  the results of the statistical analysis about procedure success, execution time and error percentage. Most critical issues were found in the retrieval of area of insertion, whereas the most difficulty perceived was on reference point selection, correct needle placement and medication. …”
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Development of pharmaceutical care competency framework in Chinese hospital pharmacist: a qualitative study in grade a tertiary hospitals by Wanqing Wang, Yong Wang, Xin Shi, Jianguo Zhu, Rong Chen

“…Besides, the value of root mean square error of approximation is 0.078, and the values of nonnormal fit index, incremental fit index, tucker-lewis index and relative fit index were all greater than 0.8. …”
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Visual Acuity and Size of Choroidal Neovascularization in Highly Myopic Eyes with a Dome-Shaped Macula by Lu Wang, Bin-wu Lin, Xiao-fang Yin, Wei-lan Huang, Yi-zhi Wang, Long Pang

“…In this retrospective and observational case series study, BCVA tests and optical coherence tomography (OCT) were performed in a total of 472 highly myopic eyes (refractive error ≥6.5 diopters or axial length ≥26.5 mm). CNV was detected by fundus fluorescein angiography (FFA), and the CNV area was measured by ImageJ software. …”
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Leveraging Tumor Mutation Profiles to Forecast Immune Checkpoint Blockade Resistance in Melanoma, Lung, Head and Neck, Bladder and Renal Cancers by Guillaume Mestrallet

“…Then, I developed predictive survival models by machine learning that correctly forecasted cancer patient survival following ICB within an error between 5 and 8 months based on their distinct tumor mutational attributes. …”
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Effectiveness of sensorimotor training on pain, cervical joint position sense, range of motion, balance, and disability in chronic neck pain: A systematic review by Sahar Zaidi, Sohrab Ahmad Khan, Saima Zaki, Habiba Sundus, Md Farhan Alam, Shibili Nuhmani

“…Long-term improvements included enhanced postural stability, reduced joint position error, and decreased disability. Methodological quality of included studies was moderate to high, with several studies achieving long-term outcome sustainability. …”
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Treatment Results of Extracranial Malignant Germ Cell Tumor with Regimens of Cisplatin, Vinblastine, Bleomycin or Carboplatin, Etoposide, and Bleomycin with Special Emphasis on the... by Jen-Yin Hou, Hsi-Che Liu, Ting-Chi Yeh, Jin-Cherng Sheu, Kuan-Hao Chen, Ching-Yi Chang, Der-Cherng Liang

“…Results: As of June 30, 2012, the 10-year overall survival (OS) was 95 ± 3% (standard error) and the event-free survival (EFS) was 88 ± 4%. …”
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Prediction of moisture content of hummus peach based on multi-burr hyperspectral data by GAO Aidi, QIAO Fengzhang, ZHU Wenxuan, ZHONG Xiaopin, DENG Yuanlong

“…The coefficient of determination (<i>R</i>²) was 0.928, and the root mean square error (RMSE) was 0.008 4 on the training set. The <i>R</i>² was 0.926, and the RMSE was 0.009 2 on the testing set. …”
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Rapid diagnosis of drug resistance to fluoroquinolones, amikacin, capreomycin, kanamycin and ethambutol using genotype MTBDRsl assay: a meta-analysis. by Yan Feng, Sijun Liu, Qungang Wang, Liang Wang, Shaowen Tang, Jianming Wang, Wei Lu

“…The specificity (95% CI) was 0.971(0.961-0.980), 0.995(0.987-0.998), 0.973(0.963-0.981), 0.993(0.985-0.997), and 0.799(0.773-0.823), respectively. The AUC (standard error) were 0.9754(0.0203), 0.9300(0.0598), 0.9885(0.0038), 0.9689(0.0359), and 0.6846(0.0550), respectively.…”
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A structured evaluation of LLM-generated step-by-step instructions in cadaveric brachial plexus dissection by Fulya Temizsoy Korkmaz, Fatma Ok, Burak Karip, Papatya Keleş

“…This gap is particularly pronounced in anatomically complex areas with low error tolerance, such as brachial plexus dissection. …”
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Rating of perceived exertion versus heart rate for isometric exercise prescription: Reliability and agreement study by Paulo Henrique de Melo, Anderson Cavalcante, Jessika Karla Tavares do Nascimento Faustino Silva, José Lucas Porto Aguiar, Jefferson Maxwell De Farias Silva, Theo Victor Alves Soares Rêgo, Raphael Mendes Ritti-Dias, Breno Quintella Farah

“…Reliability and agreement were established using test-retest (paired t-test or Wilcoxon test), intraclass correlation coefficient (ICC), standard error of measurement (SEM), coefficient of variation (CV), and Bland-Altman plots. …”
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Can ChatGPT Support Clinical Coding Using the ICD-10-CM/PCS? by Bernardo Nascimento Teixeira, Ana Leitão, Generosa Nascimento, Adalberto Campos-Fernandes, Francisco Cercas

“…The accuracy rate for codes was similar across languages, with rates of 31.0% and 31.9%. The error rate in procedure codes was substantially higher than that in diagnostic codes by almost four times. …”
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Ventricular function assessment using an ultrafast spoiled gradient echo sequence with an intravascular blood pool contrast agent in pediatric patients. by Tayaba Miah, Rithvik Gunda, Gerald Greil, Mohammad Hussain, Qing Zou

“…All Bland-Altman plots show good agreement and reveal no systematic bias or random error.<h4>Conclusion</h4>T1-TFE sequences in combination with Ferumoxytol allow reliable ventricular function assessment and overcome the limitations of traditional bSSFP MR sequences in this context.…”
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Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

“…The developed models showed an average absolute percentage error in the range of 5.9 – 8.9%. In addition to synthetic data, the developed models were also tested on real experimental data for polyvinyl chloride in the temperature range from 20° to 60°C.Discussion and Conclusion. …”
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INFLUENCE OF SOCIAL AND MEDICAL FACTORS ON THE DURATION OF EXCLUSIVE BREASTFEEDING by Л. Мельничук, А. Дячук, О. Макарова

“…Statistical analysis was performed using methods of variation statistics, calculating the mean (M) and standard error of the mean (m). Correlation analysis was conducted to determine the relationship between variables and to assess its strength and direction. …”
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Performance of dual-energy subtraction in contrast-enhanced mammography for three different manufacturers: a phantom study by Gisella Gennaro, Giulia Vatteroni, Daniela Bernardi, Francesca Caumo

“…Three studies were acquired for each system/AEC mode to measure both radiation dose and image quality metrics, including estimation of measurement error. The mean glandular dose (MGD) calculated over the three acquisitions was used as the dosimetry index, while contrast-to-noise ratio (CNR) was obtained from LE and HE images and DES images and used as an image quality metric. …”
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