Weighted Gene Coexpression Network Analysis Identifies TBC1D10C as a New Prognostic Biomarker for Breast Cancer by Huiying Qiao, Rong Lv, Yongkui Pang, Zhibing Yao, Xi Zhou, Wei Zhu, Wenqing Zhou

“…We constructed a TME-related gene signature model to predict the survival probability of BRCA patients. …”
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Combination of Fractional Exhaled Nitric Oxide (FeNO) Level and Asthma Control Test (ACT) in Detecting GINA-Defined Asthma Control in Treated Asthmatic Patients in Vietnam by Vinh Nguyen Nhu, Pham Le An, Niels H. Chavannes

“…Conclusions. FeNO can predict asthma control status with an estimated cut-off point of <25 ppb for well-controlled and >50 ppb for uncontrolled asthma. …”
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Navigating Host Immunity and Concurrent Ozone Stress: Strain‐Resolved Metagenomics Reveals Maintenance of Intraspecific Diversity and Genetic Variation in Xanthomonas on Pepper by Amanpreet Kaur, Ivory Russell, Ranlin Liu, Auston Holland, Rishi Bhandari, Neha Potnis

“…While parallel mutations may provide clues to predicting long‐term pathogen evolution and adaptive potential. …”
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The neutrophil percentage-to-albumin ratio is an independent risk factor for poor prognosis in peritoneal dialysis patients by Mingfan Xu, Jingjia Huan, Lujie Zhu, Jiachun Xu, Kai Song

“…Moreover, NPAR demonstrated superior predictive potential compared to CRP, CAR, NLR, and PLR.…”
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Intelligent model for forecasting fluctuations in the gold price by Mahdieh Tavassoli, Mahnaz Rabeei, Kiamars Fathi Hafshejani

“…Therefore, it is crucial to accurately predict the gold price from various perspectives. …”
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Factors associated with prolonged length of stay following cardiac surgery in a major referral hospital in Oman: a retrospective observational study by Paul Aylin, Ahmed Almashrafi, Hilal Alsabti, Mirdavron Mukaddirov, Baskaran Balan

“…The probabilities of prolonged CICU LOS were 11%, 26% and 28% for group 1, 2 and 3, respectively. The predictive model had an area under the curve of 0.75. …”
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Source Characteristics Influence AI-Enabled Orthopaedic Text Simplification by Saman Andalib, BS, Sean S. Solomon, BS, Bryce G. Picton, BS, Aidin C. Spina, BS, John A. Scolaro, MD, Ariana M. Nelson, MD

“…This study assesses the effectiveness of large language models (LLMs) in simplifying complex language within orthopaedic patient education materials (PEMs) and identifies predictive factors for successful text transformation. …”
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Impact of Disease Activity on the Quality of Life of Crohn’s Disease Patients by T Michael Vallis, Geoffrey K Turnbull

“…Importantly, disease activity was not able to predict the emotional and social aspects of IBD-related quality of life. …”
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Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR by Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Andreas Dengel

“…Within the landscape of AI predictors in CRISPR-Cas9 multi-step process, it provides insights of representation learning methods, machine and deep learning methods trends, and performance values of existing 50 predictive pipelines. In the context of representation learning methods and classifiers/regressors, a thorough analysis of existing predictive pipelines is utilized for recommendations to develop more robust and precise predictive pipelines.…”
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Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study by Yanyu Zhang, Xiaoyi Liu, Deyun Luo, Bingli Chen, Chenyi Lai, Chenyu He, Luo Yan, Haifeng Ding, Shiyang Li

“…This study aimed to investigate the predictive value of the low‐density lipoprotein cholesterol to high‐density lipoprotein cholesterol ratio (LHR) for the risk of developing HUA. …”
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Enhancing physical activity levels in 9–11-year-old children of varied genders: strategies leveraging parental exercise consciousness by Chao Song, Sha Ge

“…Third, stratified linear regression analysis showed the varied predictive associations of the different dimensions of parental exercise consciousness with children’s PA intensity, duration, and frequency. …”
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Development and validation of the modified index of fragility in head and neck cancer surgery by Koorosh Semsar-Kazerooni, Keith Richardson, Véronique-Isabelle Forest, Alex Mlynarek, Michael P. Hier, Nader Sadeghi, Marco. A. Mascarella

“…Conclusion The modified index of fragility is a reliable and easily accessible tool to predict risk of postoperative adverse events and death in patients undergoing head and neck cancer surgery. …”
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Wavefront-guided pupilloplasty in patients following penetrating keratoplasty: Optimizing results by Vijay K Sharma, GN Divyashree, Preeti, Vikas Ambiya, Ashok Kumar, Srishti Khullar, Vipin Rana

“…Preoperative wavefront analysis was done with the actual pupil size, and predicted wavefront values were analyzed by setting the postoperative pupil size to 2 mm. …”
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Prognostic value of red cell distribution width in patients undergoing percutaneous coronary intervention: a meta-analysis by Xiaoyan Wang, Donglai Bao, Gaojiang Luo, Fuqiang Kan, Jinwei Luo, Changhao Jiang

“…The value of elevated RDW for predicting all-cause mortality appears to be stronger in patients without anaemia. …”
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Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan by Moiz Qureshi, Khushboo Ishaq, Muhammad Daniyal, Hasnain Iftikhar, Mohd Ziaur Rehman, S. A. Atif Salar

“…Modeling of CVD plays a crucial role in understanding the trend of CVD death cases, evaluating the effectiveness of interventions, and predicting future disease trends. This study aims to investigate the modeling and forecasting of CVD mortality, specifically in the Sindh province of Pakistan. …”
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A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation by Neelesh Rampal, Peter B. Gibson, Steven Sherwood, Gab Abramowitz, Sanaa Hobeichi

“…Abstract Anticipating climate impacts and risks in present or future climates requires predicting the statistics of high‐impact weather events at fine‐scales. …”
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From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults by Ling-Jie Fan, Feng-Yi Wang, Jun-Han Zhao, Jun-Jie Zhang, Yang-An Li, Jia Tang, Tao Lin, Quan Wei

“…We then developed explainable machine learning models, primarily random forest, optimized with hyperparameters, to predict individual cognitive function status. Results Using recursive feature elimination, we identified the top 20 PA features from each dataset and combined them with demographic features for modeling. …”
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Perovskite Solar Cell: Chemical Composition and Bandgap Energy via Machine Learning by Filipi França dos Santos, Kelly Cristine Da Silveira, Gesiane Mendonça Ferreira, Daniella Herdi Cariello, Mônica Calixto de Andrade

“…By conducting synthesis experiments towards specific compositions guided by model predictions, it becomes feasible to efficiently achieve the desired bandgap energy. …”
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Analisis Seleksi Atribut Dalam Memprediksi Kegagalan Skripsi Mahasiswa Menggunakan Algoritme Naïve Bayes pada Jurusan Sistem Informasi Universitas Brawijaya by Satrio Hadi Wijoyo, Satrio Agung Wicaksono, Admaja Dwi Herlambang

“…The highest accuracy is the Naive Bayes algorithm using data training which shows the results of 412 correct predictions with an accuracy of 82.4% and 88 false predictions with a presentation of 17.6%. …”
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Evaluation of Predictors of Response to Ovulation Induction Using Letrozole in Women with Polycystic Ovary Syndrome: A Prospective Cohort Study by Shanti Tholiya, Archana Kumari, Reeta Mahey, Mani Kalaivani, Hem Chandra Sati, Mona Sharma, Aarthi K. Jayraj, Neena Malhotra

“…Background: Ovulation induction (OI) in patients with polycystic ovary syndrome (PCOS) remains challenging, and several biomarkers have been evaluated for their ability to predict ovulation. The predictive ability of candidate biomarkers, particularly with letrozole-based therapy in infertile PCOS women, remains inconclusive as it is yet to be evaluated in a prospective study. …”
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