Case-only analysis in small studies of predictive biomarkers by M. Hauptmann, V. H. Nguyen, L. Sollfrank, S. C. Linn, K. Jóźwiak

“…Abstract Characteristics of tumors and patients can be used as predictive biomarkers to guide treatment choice. Although many potential biomarkers are evaluated each year, only few will eventually be used since evidence is usually based on small studies leading to inconclusive results. …”
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Prevalence, Predictive Factors, and Characteristics of Osteoporosis in Hyperthyroid Patients by Ayotunde O. Ale, Anthonia O. Ogbera, Henry O. Ebili, Olusola L. Adeyemo, Taiwo O. Afe

“…This study aims to determine the prevalence, predictive factors, and characteristics of osteoporosis in hyperthyroid patients. …”
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Evaluating Hematological Inflammatory Markers as Predictors of Preeclampsia by Serife Ozlem Genc, Huseyin Erdal

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Evaluation of perivascular fat density and residual false lumen formation following TEVAR in Stanford type B aortic dissection by Xin He, Xin He, Yubin Zhong, Yubin Zhong, Hua Cao, Hua Cao, Zhangbo Cheng, Zhangbo Cheng

“…ObjectiveThis study aims to investigate the role of perivascular adipose tissue (PVAT) attenuation in predicting residual false lumen formation following thoracic endovascular aortic repair (TEVAR) in patients with Stanford Type B aortic dissection (TBAD). …”
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Data-driven seismic mechanical performance evaluation of RC columns based on adaptive optimization ensemble learning method integrating random forest and back propagation neural ne... by Ayong Jiao, Ziqing Jiao, Bin Gao

“…The research results provide a new idea for the efficient evaluation of the seismic performance of RC columns and expand the application potential of ensemble learning in the performance prediction of complex structures.…”
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Clinical evaluation of a novel H. pylori fecal molecular diagnosis kit (multiplex RT-PCR method) for detecting clarithromycin and fluoroquinolones resistance using stool samples by Wen-juan Wei, Bang sun He, Bin Lv, Bin Yang, Yong Xie, Zhen yu Zhang

“…This study aimed to evaluate a novel multiplex RT-PCR-based fecal diagnostic kit (Cowin Biosciences, Jiangsu, China) for detecting mutations in the 23S rRNA and gyrA genes associated with clarithromycin and fluoroquinolone resistance in H. pylori.MethodsA total of 1,176 participants from four clinical centers in China were enrolled between August 2022 and October 2023. …”
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Optimising neonatal services for very preterm births between 27+0 and 31+6 weeks gestation in England: the OPTI-PREM mixed-methods study by Thillagavathie Pillay, Oliver Rivero-Arias, Natalie Armstrong, Sarah E Seaton, Miaoqing Yang, Victor L Banda, Kelvin Dawson, Abdul QT Ismail, Vasiliki Bountziouka, Caroline Cupit, Alexis Paton, Bradley N Manktelow, Elizabeth S Draper, Neena Modi, Helen E Campbell, Elaine M Boyle

“…Aim To investigate, for preterm babies born between 27+0 and 31+6 weeks gestation in England, optimal place of birth and early care. Design Mixed methods. Setting National Health Service neonatal care, England. …”
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A Novel Presurgical Risk Prediction Model for Chronic Post-Surgical Pain in Adults Undergoing Surgical Procedures: Development and Internal Validation of the P4-Prevoque Questionna... by Wildemeersch D, Wauters E, Roelant E, Verhaegen I, De Clerck GR, Dankerlui R, Saldien V, Hans GH

“…Future research should focus on its further validation.Trial Registration: ClinicalTrials.gov NCT05526976, Ethics Committee B3002022000112.Keywords: chronic post-surgical pain, clinical prediction model, perioperative care, postoperative pain, preoperative evaluation, recovery after surgery…”
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Synthesis, Anticancer Screening, and In Silico Evaluations of Thieno[2,3-<i>c</i>]pyridine Derivatives as Hsp90 Inhibitors by Balakumar Chandrasekaran, Mohammad F. Bayan, Ali Hmedat, Bilal A. Al-Jaidi, Deniz M. Al-Tawalbeh, Duaa Abuarqoub, Anas J. Rasras, Da’san M. M. Jaradat, Abdel Naser Dakkah, Wafa Hourani, Rajshekhar Karpoormath

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Evaluation of 3D‐Var and 4D‐Var data assimilation on simulation of heavy rainfall events over the Indian region by Shivaji S. Patel, Ashish Routray, Vivek Singh, R. Bhatla, Rohan Kumar, Elena Surovyatkina

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Storage and permeation space development characteristics and water production capacity evaluation of deep coal reservoirs in Linxing-Shenfu area of Ordos Basin by Jinwei WANG, Hao XU, Yinan LIU, Bing ZHANG, Yanyong XU, Ding LIU, Peng ZONG, Yajuan WANG, Xuejing SONG

“…Combined with actual water production data from CBM wells, the sources of coal seam water were further evaluated. The results show that deep coal reservoirs in the Linxing-Shenfu area exhibit well-developed micropores, macropores, and fractures, with relatively underdeveloped mesopores. …”
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Advanced articulated motion prediction by Anthony Belessis, Iliana Loi, Konstantinos Moustakas

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Usefulness of three-dimensional image navigation system for evaluation of hepatic artery before living donor liver transplantation: a case report by Michinori Matsumoto, Shigeki Wakiyama, Hiroaki Shiba, Yuichi Ishida, Yoshiaki Kita, Katsuhiko Yanaga

“…The patient’s younger sister, aged 43 years, was the only living donor candidate. The predicted left liver graft volume with the middle hepatic vein was found to be 403 mL using the region-growing method with 3D CT software. …”
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Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review by Camilo Scherkl, Theresa Dierkes, Michael Metzner, David Czock, Hanna M. Seidling, Walter E. Haefeli, Andreas D. Meid

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Evaluating the Usability and Variability of Data on Transport for Modelling by WILFRED GORDIAN KAZAURA

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Predicting lung nodules malignancy by M. Jacob, J. Romano, D. Araújo, J.M. Pereira, I. Ramos, V. Hespanhol

“…Multiple logistic regression was used to screen independent predictors for malignancy and to establish a clinical prediction model to evaluate the probability of malignancy.Results From a total of 121 patients, 75 (62%) were men and with a mean age of 64.7 years old. …”
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Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischem... by Hu X, Qi D, Li S, Ye S, Chen Y, Cao W, Du M, Zheng T, Li P, Fang Y

“…This study aimed to investigate the factors contributing to clinically ineffective reperfusion (CIR), develop and validate a machine-learning model to predict CIR, and provide guidance for future clinical treatments.Methods: We collected data from patients undergoing thrombectomy at Shanghai Fourth People’s Hospital between December 2021 and June 2024. …”
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The Role of Artificial Intelligence in Predicting and Managing Pediatric Fracture Overgrowth: A Comprehensive Review by Daniela Alessia Marletta, Matteo Nanni, Gabriele Giuca, Ilaria Sanzarello, Biagio Zampogna, Danilo Leonetti

“…Pediatric fracture overgrowth is an unpredictable complication of long bone fractures in children, leading to excessive growth of the injured limb and resulting in limb length discrepancies (LLDs) and angular deformities that impact mobility and quality of life. Traditional methods struggle to predict at-risk children, hindering early detection and management. …”
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Increased Azimuth Resolution by Extrapolating the Antenna Array Aperture Function by Least Squares Linear Prediction Estimation Using Autoregressive Model Coefficients by V. V. Vladimirov

“…Analysis of the phase distribution of the incident wave scattered by objects at the AA aperture, as well as the azimuthal images of these objects when performing spacetime signal processing after extrapolating the AA aperture function by evaluating linear prediction using the least-squares method using autoregressive model coefficients.Materials and methods. …”
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Uncertainty-Aware Predictive Process Monitoring in Healthcare: Explainable Insights into Probability Calibration for Conformal Prediction by Maxim Majlatow, Fahim Ahmed Shakil, Andreas Emrich, Nijat Mehdiyev

“…By incorporating these calibrated probabilities into the CP framework, our multilayer analysis evaluates improvements in prediction region validity, including tighter coverage gaps and reduced minority error contributions. …”
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