Standardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile Application by Nadia Karina Portillo-Ortíz, Luis Raúl Sigala-González, Iván René Ramos-Moctezuma, Brenda Lizeth Bermúdez Bencomo, Brissa Aylin Gomez Salgado, Fátima Cristal Ovalle Arias, Irene Leal-Berumen, Edmundo Berumen-Nafarrate

“…Its high performance in predicting injury grades makes it a valuable addition to clinical practice for enhancing diagnostic precision and informing treatment planning.…”
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Study on the prevention system of rockburst for the entire life cycle of underground coal mines by OUYANG Zhenhua, XU Qianhai, ZHANG Ningbo, ZHANG Tianzi, YI Haiyang, SHI Qingwen, LI Wenshuai, WANG Jiajia

“…During the exploration stage, the emphasis is on assessing the rockburst proneness and predicting the risk of rockbursts in the newly developed coal seams. …”
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Prulifloxacin Effectiveness in Moderate-to-Severe Acute Exacerbations of Chronic Bronchitis: Α Noninterventional, Multicentre, Prospective Study in Real-Life Clinical Practice—The... by Konstantinos Gourgoulianis, Alessandro Ruggieri, Alessandra del Vecchio, Fabrizio Calisti, Alessandro Comandini, Giovanna Esposito, Giorgio Di Loreto, Nikolaos Tzanakis

“…In the routine care in Greece, prulifloxacin was highly effective in moderate-to-severe AECB, while displaying a predictable safety profile.…”
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Assessing Vegetation Canopy Growth Variations in Northeast China by Lijie Lu, Lingxue Yu, Xuan Li, Li Gao, Lun Bao, Xinyue Chang, Xiaohong Gao, Zhongquan Cai

“…Studying climate change’s impact on vegetation canopy growth and senescence is significant for understanding and predicting vegetation dynamics. However, there is a lack of adequate research on canopy changes across the lifecycles of different vegetation types. …”
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Rainfall forecasts, learning subsidies and conservation agriculture adoption: Experimental evidence from Zambia by Hambulo Ngoma, Esau Simutowe, João Vasco Silva, Isaiah Nyagumbo, Kelvin Kalala, Mukwemba Habeenzu, Christian Thierfelder

“…We found that providing rainfall forecasts predicting low rainfall significantly increased the probability of adopting conservation agriculture by 8 percentage points, while offering a subsidy increased the chances of adoption by 11 percentage points. …”
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Socioeconomic status correlates with clinical outcomes in patients with acral melanoma by Rong Huang, Jiayu Wang, Kelin Zheng, Mengke Zhao, Zhengyun Zou, Zhengyun Zou, Zhengyun Zou

“…Compared to individual socioeconomic factors such as education, occupation, medical insurance, and marital status, the socioeconomic level derived from these four dimensions accurately predicted patient survival. Patients with higher socioeconomic status demonstrated significantly reduced mortality risk (HR = 0.60, 95% CI = 0.40–0.91, p = 0.02). …”
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Foodborne Event Detection Based on Social Media Mining: A Systematic Review by Silvano Salaris, Honoria Ocagli, Alessandra Casamento, Corrado Lanera, Dario Gregori

“…This review analyzed studies published up to December 2024 that utilized social media data and data mining to predict and prevent foodborne diseases. A comprehensive search was conducted across PubMed, EMBASE, CINAHL, Arxiv, Scopus, and Web of Science databases, excluding clinical trials, case reports, and reviews. …”
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Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods by Abhinav Kumar, Paul Rodrigues, A. K. Kareem, Tingneyuc Sekac, Sherzod Abdullaev, Jasgurpreet Singh Chohan, R. Manjunatha, Kumar Rethik, Shivakrishna Dasi, Mahmood Kiani

“…In this communication, we aim to develop intelligent data-driven models of decision tree, random forest, ensemble learning, adaptive boosting, support vector machine and multilayer perceptron artificial neural network to predict rock saturation exponent parameter in terms of rock absolute permeability, porosity, resistivity index, true resistivity, and water saturation based on acquired 1041 field data. …”
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Protective Effects of BDNF against C-Reactive Protein-Induced Inflammation in Women by Nicole Noren Hooten, Ngozi Ejiogu, Alan B. Zonderman, Michele K. Evans

“…Since high sensitivity C-reactive protein (hsCRP) is predictive of cardiovascular events, it is important to examine the relationship between hsCRP and other inflammatory and oxidative stress markers linked to cardiovascular disease (CVD) etiology. …”
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Adjuvant postbiotic administration improves dental caries prognosis by restoring the oral microbiota by Qing Liu, Teng Ma, Cuijiao Feng, Yalin Li, Hao Jin, Xuan Shi, Lai-Yu Kwok, Yan Shi, Tingtao Chen, Heping Zhang

“…Taxonomic and functional annotation of the microbiota revealed that postbiotics co-treatment significantly: increased the relative abundance of Pseudomonas and P. reactans, decreased the relative abundance of Prevotella shahii, and enriched the energy metabolism-related pathways. BugBase-predicted phenotypes inferred to an oral microbiota with decreased potential pathogenic bacteria and increased oxidative stress-tolerant bacteria after postbiotics intervention. …”
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Appropriateness and inappropriate medication predictors of stress ulcer prophylaxis in the intensive care unit by Pan Zhang, Siyang Wang, Tingting Zhi, Naobei Ye, Haonan Sun, Xingyu Qin, Shuhan Xu, Ruiqin Zhang

“…The efficacy of this predictive model was assessed through the use of the Receiver Operating Characteristic Curve (ROC), while the Hosmer test was utilized to evaluate the model fit.ResultsThis study included a total of 651 patient cases that met the inclusion criteria. …”
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Role of artificial intelligence in imaging and endoscopy for the diagnosis, monitoring and prognostication of inflammatory bowel disease: a scoping review protocol by Mallory Chavannes, Bram Verstockt, Mariangela Allocca, David T Rubin, Kerri Novak, Lynn Kysh, Noa Krugliak Cleveland, Michael Todd Dolinger, Tom S Robbins, Shintaro Sagami

“…Considering the complexity of the information obtained throughout a patient’s journey, artificial intelligence (AI) provides an ideal adjunct to existing tools to help diagnose, monitor and predict the course of disease of patients with IBD. …”
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Systemic delivery of AAV5, AAV8, and AAV9 packaging a C5-12-microdystrophin-FLAG expression cassette in non-human primates by Mengping Liu, Erica Cook, Yanshan Dai, Erich Ehlert, Francois du Plessis, Jacek Lubelski, Bogdan G. Sleczka, Petia Shipkova, Zhuyin Li, Joshua Gamse, David Gordon, Leonard P. Adam, Paul C. Levesque, Glen B. Banks

“…Thus, a systemic dose of ∼1.18 × 1014 vector genomes/kg AAV8 is predicted to be safe and efficacious for treating Duchenne muscular dystrophy (DMD) but has significant room for improvement.…”
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What is the near-natural catchment? An application of hydrological signatures assessment by Huan Xu, Hao Wang, Pan Liu, Xiaojing Zhang, Weibo Liu, Chutian Zhou, Hao Ye, Hongxuan Lei, Yang Liu

“…This is done by condensing a large set of 222 into eight signatures that are computable, representative, robust, and predictable. The sensitivity of the eight signatures to HA are calculated using a causal inference method instead of directly calculating linear correlation coefficients to avoid spurious relationships. …”
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Balanced Performance Merit on Wind and Solar Energy Contact With Clean Environment Enrichment by Priyan Malarvizhi Kumar, M. M. Kamruzzaman, Badria Sulaiman Alfurhood, Bakri Hossain, Harikumar Nagarajan, Surendar Rama Sitaraman

“…Techniques: Artificial Neural Network-Based Expert Systems are used to predict the plant response in the environment, which is the response to the humidity, light radiation, and temperature. …”
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Ultrasound Features of <i>Helicobacter pylori</i>-Related Gastritis by Fulvia Terracciano, Antonella Marra, Veronica Nassisi, Chiara Lillo, Fabrizio Bossa, Sonia Carparelli, Francesco Cocomazzi, Maria Rosa Valvano, Giuseppe Losurdo, Alfredo Di Leo, Francesco Perri

“…The objective of this study is to characterize the ultrasound features of <i>H. pylori</i>-induced gastritis and assess its predictive potential role for this condition. <b>Methods</b> A cohort of 119 patients underwent gastroscopy with biopsy and abdominal US to evaluate antral wall thickness (AWT), submucosal wall thickness (SLT), mucosal wall thickness (MLT), gastric motility, and the presence of ingested material. …”
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Loss of p53 impairs death receptor expression and confers resistance to CD19 CAR T-cell therapy in BCP-ALL by Willem P. J. Cox, Noël M. M. Dautzenberg, Linde Dekker, Tesa Klenovsek, Annelisa M. Cornel, Marliek van Hoesel, Dorette S. van Ingen Schenau, Reno S. Bladergroen, Roland P. Kuiper, Laurens T. van der Meer, Friso G. Calkoen, Stefan Nierkens, Frank N. van Leeuwen

“…Abstract: Loss of p53 function predicts a dismal outcome in relapsed B-cell precursor acute lymphoblastic leukemia (BCP-ALL). …”
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Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes by B. S. Dhruva Darshan, Niranjana Sampathila, G. Muralidhar Bairy, Srikanth Prabhu, Sushma Belurkar, Krishnaraj Chadaga, S. Nandish

“…Hence, Five XAI tools including SHAP, LIME, Eli5, Qlattice and Anchor are used to understand the model’s predictions. The importance characteristics according to XAI models are PLT, PCT, MCV, PDW, HGB, ABS LYMP, WBC, MCH, and MCHC. are employed to train and test the data. …”
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Temporal dynamics of climate sensitivity of litter decomposition in a semi-arid grassland by Zhen Li, Fuwei Wang, Yue Wen, Chenglong Ye, Peng Wang, Tongshuo Bai, Xudong Gu, Liang Guo, Yunpeng Qiu, Yi Zhang, Yi Wang, Shuijin Hu

“…., Q10 value = 2.0) throughout the decay process, our results suggest that incorporation of such temporal dynamics into decomposition models may enhance their predictive power.…”
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Explaining the γγ + X excesses at ≈151.5 GeV via the Drell-Yan production of a Higgs triplet by Saiyad Ashanujjaman, Sumit Banik, Guglielmo Coloretti, Andreas Crivellin, Siddharth P. Maharathy, Bruce Mellado

“…However, the latter is inconsistent with the mass predicted by the multi-lepton anomalies and is in close proximity to the SM Higgs mass, suggesting the possibility of enhanced associated production of the SM Higgs.…”
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