Preoperative Hemoglobin Level Predicts Surgical Site Infections in Trauma Orthopedic Surgery: A Cohort Study by Williams Walana, Fredrick Gyilbagr, Alexis D. B. Buunaaim

“…Conclusion: In conclusion, our study demonstrates that preoperative hemoglobin level is a useful hematological parameter for predicting surgical site infection following trauma orthopedic surgery. …”
Get full text

TOPBP1 as a potential predictive biomarker for enhanced combinatorial efficacy of olaparib and AZD6738 in PDAC by Xiao-Mei Tang, Min-Min Shi, Jia-Cheng Wang, Yi-Jin Gu, Yu-Ting Dai, Qin-Xin Yang, Jia Liu, Ling-Jie Ren, Xin-Yun Liu, Chun Yang, Fang-Fang Ma, Ji-Bing Liu, Hong Yu, Da Fu, Yun-Feng Wang

“…Notably, this combination therapy was more effective in PDAC cell lines exhibiting high TOPBP1 expression, indicating that TOPBP1 may serve as a useful predictive biomarker. In conclusion, TOPBP1 is a potential marker for optimizing the olaparib and AZD6738 combination therapy in PDAC. …”
Get full text

Modeling pegcetacoplan treatment effect for atrophic age-related macular degeneration with AI-based progression prediction by Irmela Mantel, Romina M. Lasagni Vitar, Sandro De Zanet

Subjects: “…Deep learning-based RORA progression prediction…”
Get full text

Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

Subjects: Get full text

Time-Series Load Online Prediction of Wind Turbine Based on Adaptive Multisource Operational Data Fusion by Ruojin Wang, Xiaodong Wang, Deyi Fu, Bin Yang, Yingming Liu

“…In order to reduce the influence of original data completeness on load prediction, the deviation degree of load prediction of RF and WTS is analyzed. …”
Get full text

PREDICTING STOCK PRICE DIRECTION OF EUROZONE BANKS: CAN DEEP LEARNING TECHNIQUES OUTPERFORM TRADITIONAL MODELS? by Bogdan Ionuț ANGHEL

Subjects: Get full text

BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. by Natalie R Davidson, Fan Zhang, Casey S Greene

“…Finally, we validated BuDDI on predicting sex-specific differences, an experimental design where it is not possible to have matched samples. …”
Get full text

Simple shell measurements do not consistently predict habitat in turtles: a reply to Lichtig and Lucas (2017) by Evers, Serjoscha W., Foth, Christian, Joyce, Walter G., Hermanson, Guilherme

“…When these choices are reversed, species measurements for fossils are corrected, and phylogenetic flexible discriminant analysis applied, habitat cannot be correctly predicted for extant turtles based on these simple shell measurements. …”
Get full text

Evaluation of Serum Bilirubin as a Predictive Marker for Simple and Complicated Appendicitis in Sulaimani Emergency Teaching Hospital by Seerwan Hama Shareef, Dara Ahmed Mohammed, Goran Ameer Ahmed

Get full text

Prediction of Nonunion in the Diaphyseal Segment of Long Bones in Adults Using the RUST Score and Modified RUST Score by Anupam Gupta, C Prasanna, BK DinakarRai

“…The 3-month mRUST score for humeral fractures had no predictive value. Conclusion: Lower 3-month RUST scores for tibial and femoral fractures are strongly associated with nonunion, and there is a need for secondary intervention. …”
Get full text

Predicted distribution of curl-leaf mountain mahogany (Cercocarpus ledifolius) in the Bighorn Canyon National Recreation Area. by Robert E Kissell, Michael T Tercek, David P Thoma, Kristin L Legg

“…The approach used serves as a model to assess the predicted trend for species-specific plant communities of concern that may be adversely affected by climate change.…”
Get full text

Predicting postoperative nausea and vomiting after cesarean section: a nomogram model combined with gastric ultrasound by Yingchao Liu, Huohu Zhong, Zhisen Dai, Yuxin Huang, Yibin Liu, Hefan He, Yuewen Liao, Weifeng Liu

“…Univariate and multivariate logistic regression were used to analyze the risk factors for PONV following Cesarean sections and the independent risk factors were then used for the prediction model. Simultaneously, 29 adult patients who underwent caesarean section between February 2023 and April 2023 were included in the hospital as a test set to conduct external verification of the nomogram and Apfel scoring models, and compare their diagnostic efficacy in predicting PONV after caesarean section. …”
Get full text

A prediction model for high-risk cardiovascular disease among residents aged 35 to 75 years by ZHOU Guoying，XING Lili，SU Ying，LIU Hongjie，LIU He，WANG Di，XUE Jinfeng，DAI Wei，WANG Jing，YANG Xinghua，

Subjects: Get full text

A Nomogram Based on Circulating Inflammatory Factors for Predicting Prognosis of Newly Diagnosed Multiple Myeloma Patients by Wang M, Yue X, Ding Y, Cai Z, Xiao H, Huang H, He J

“…Cox regression analysis and least absolute shrinkage and selector operation (LASSO) were performed to establish the predictive nomograms for survival outcomes in the training cohort, and the nomograms were validated by calibration curves in the validation cohort.Results: The best cutoff values of NLR, LMR, PLR, and IL-10 were 4.44, 4.0, 100, and 1.42pg/mL, respectively. …”
Get full text

Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction by Dae-Young Kim, Sang-Won Lee, Dong-Ho Lee, Sang-Chul Lee, Sang-Chul Lee, Ji-Hun Jang, Sung-Hee Shin, Dae-Hyeok Kim, Dae-Hyeok Kim, Wonik Choi, Wonik Choi, Yong-Soo Baek, Yong-Soo Baek, Yong-Soo Baek

Subjects: Get full text

Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity by Perry J. Pickhardt, Michael W. Kattan, Matthew H. Lee, B. Dustin Pooler, Ayis Pyrros, Daniel Liu, Ryan Zea, Ronald M. Summers, John W. Garrett

“…The final weighted CT biomarker selection was based on the index of prediction accuracy. The CT model significantly outperforms standard demographic data for predicting longevity (IPA = 29.2 vs. 21.7; 10-year AUC = 0.880 vs. 0.779; p < 0.001). …”
Get full text

Integrating E-cadherin expression levels with TNM staging for enhanced prognostic prediction in colorectal cancer patients by Jae-Ghi Lee, Ilkyu Park, Hannah Lee, Seungyoon Nam, Jisup Kim, Won-Suk Lee, Myunghee Kang, Jung Ho Kim

“…The goal was to establish a more accurate prognostic prediction for colorectal cancer patients by analyzing E-cadherin expression levels alongside TNM staging. …”
Get full text

Comparison of three- and six-component scoring models for predicting the futility in cancer resuscitation: a retrospective study by A. Pramono, N. Maryani

“…CONCLUSIONS: The accuracy of the FORREST three variables is the same as the six-variable FORREST score for predicting futile actions in cancer patients undergoing resuscitation. …”
Get full text

HPRNA: Predicting synergistic drug combinations for angina pectoris based on human pathway relationship network algorithm. by Mengyao Zhou, Mengfan Xu, Xiangling Zhang, Xiaochun Xing, Yang Li, Guanghui Wang, Guiying Yan

“…Compared to lengthy medical drugs experimental screening, mathematical models and algorithms show great potential in synergistic drug combinations prediction. In this paper, we introduce a novel mathematical algorithm, the Human Pathway Relationship Network Algorithm (HPRNA), which is designed to predict synergistic drug combinations for angina pectoris. …”
Get full text

Correction: Human-machine interactions with clinical phrase prediction system, aligning with Zipf's least effort principle? by PLOS One Staff

Get full text