Advances in health: Implications and challenges of intellectual property in the era of precision medicine by Cássia Rita Pereira da Veiga, Claudimar Pereira da Veiga, Doane Martins da Silva, Flavia Guimarães Viana, Zhaohui Su, Ana Paula Drummond-Lage

“…It investigates five key areas: (i) inventiveness dynamics, (ii) commercial and epidemiological motivations for patent registrations, (iii) the impact of patented technologies, (iv) the classification of technological innovations, and (v) patterns of knowledge sharing and collaboration. …”
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Early versus delayed interventions for necrotizing pancreatitis: A systematic review and meta‐analysis by Yousuke Nakai, Hideyuki Shiomi, Tsuyoshi Hamada, Shogo Ota, Mamoru Takenaka, Takuji Iwashita, Tatsuya Sato, Tomotaka Saito, Atsuhiro Masuda, Saburo Matsubara, Keisuke Iwata, Tsuyoshi Mukai, Hiroyuki Isayama, Ichiro Yasuda

“…The rate of adverse events was comparable (OR 1.41, 95% CI 0.66–3.01; p = 0.38) but the rate of mortality was significantly higher (OR 1.70, 95% CI 1.21–2.40; p < 0.01) in early interventions. …”
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Clinical, radiological, and radiomics feature-based explainable machine learning models for prediction of neurological deterioration and 90-day outcomes in mild intracerebral hemor... by Weixiong Zeng, Jiaying Chen, Linling Shen, Genghong Xia, Jiahui Xie, Shuqiong Zheng, Zilong He, Limei Deng, Yaya Guo, Jingjing Yang, Yijun Lv, Genggeng Qin, Weiguo Chen, Jia Yin, Qiheng Wu

“…Results A total of 21 (14.2%) mild ICH patients developed ND, and 35 (24.3%) mild ICH patients had a 90-day poor prognosis. …”
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Rapid identification of high-temperature Daqu Baijiu with the same aroma type by UV-VIS sensor of HBT combined with Zn2+ by Yanmei Zhu, Yuanyuan Su, Yipeng Cang, Hengye Chen, Wanjun Long, Wei Lan, Xue Jiang, Haiyan Fu

“…Results: The random forest results showed that the prediction set classification accuracy was improved from 62.37% to 100%. …”
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Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

“…An ensemble Machin learning algorithm using different classification models were implemented. All analysis and calculation were performed using Python 3 programming language in Jupyter Notebook using imblearn, sklearn, and xgboost pakages. …”
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Accuracy and Safety Between Robot-Assisted and Conventional Freehand Fluoroscope-Assisted Placement of Pedicle Screws in Thoracolumbar Spine: Meta-Analysis by Alberto Morello, Stefano Colonna, Enrico Lo Bue, Giulia Chiari, Giada Mai, Alessandro Pesaresi, Diego Garbossa, Fabio Cofano

“…The results demonstrated a worse accuracy in FS in cases with major violations of the peduncular cortex (D–E grades, according to Gertzbein’s classification) [(odds ratio (OR) 0.47, 95%-CI 0.28 to 0.80, I² 0%]. …”
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Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants by Xiangjun Qi, Shujing Wang, Caishan Fang, Jie Jia, Lizhu Lin, Tianhui Yuan

“…Models constructed within the mlr3 framework included recursive partitioning and regression trees, random forest, kernel k-nearest neighbors, naïve bayes, and light gradient boosting machine (LightGBM). …”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…In total, 189 warning threshold values were established based on data from 1380 QC reports generated during 2019 to 2022, covering 3 severity grades, 21 Level-3 taxonomies, and 3 QC rounds. …”
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Normal serum protein electrophoresis and mutated IGHV genes detect very slowly evolving chronic lymphocytic leukemia patients by Jasmine Chauzeix, Marie‐Pierre Laforêt, Mélanie Deveza, Liam Crowther, Elodie Marcellaud, Paco Derouault, Anne‐Sophie Lia, François Boyer, Nicolas Bargues, Guillaume Olombel, Arnaud Jaccard, Jean Feuillard, Nathalie Gachard, David Rizzo

“…The main prognostic factors (Binet stage; lymphocytosis; IGHV mutation status; TP53, SF3B1, NOTCH1, and BIRC3 mutations; and cytogenetic abnormalities) were studied. …”
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Inflammatory Pseudotumor of the Anal Canal Mimicking Colorectal Cancer: Case Report and Hints to Improve a Patient’s Fitness for Treatment and Prevention by Vito Rodolico, Paola Di Carlo, Girolamo Geraci, Giuseppina Capra, Cinzia Calà, Claudio Costantino, Maria Meli, Consolato M. Sergi

“…Laboratory identification of L1–L3 <i>Chlamydia trachomatis</i> (CT) genovars was positive for CT L1, L2, real-time PCR for <i>Neisseria gonorrhoeae</i> (NG), and <i>Mycoplasma hominis</i>. …”
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A Permutation Entropy Method for Sleep Disorder Screening by Cristina D. Duarte, Marcos M. Meo, Francisco R. Iaconis, Alejandro Wainselboim, Gustavo Gasaneo, Claudio Delrieux

“…The method achieved 90% classification accuracy for rapid-eye-movement (REM) sleep behavior disorder (F1-score: 0.89) and maintained 74% accuracy when aggregating all pathologies (insomnia, narcolepsy, sleep-disordered breathing, etc.). …”
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Integrating MaxEnt with chemometrics to evaluate the impact of environmental variables on the coumarin content and the distribution of Angelica dahurica by Zhengkun Gan, Jun Ma, Xinyu Liu, Jiaxin Luo, Junke Li, Lili Pu, Guihua Jiang, Guihua Jiang, Yan Lian

“…With climate change potentially affecting both species distribution and secondary metabolite accumulation, there is a pressing need to integrate ecological and chemical data to guide future cultivation and resource utilization strategies.MethodsThis study combined the Maximum Entropy (MaxEnt) ecological modeling approach with chemometric analysis to (i) predict the suitable habitat distribution of A. dahurica under current and future climate scenarios and (ii) evaluate the correlation between environmental variables and coumarin accumulation.Results(1) The key environmental variables influencing the distribution of A. dahurica were identified as BIO_13 (precipitation of the wettest month), BIO_11 (mean temperature of the coldest quarter), and elevation (DEM). (2) Presently, the highly suitable regions for A. dahurica cultivation are mainly in Sichuan, Henan, and Hebei provinces. (3) Under future climate scenarios, the highly suitable habitats are expected to expand and shift geographically, especially toward Henan and Jiaozuo, with parts of Hubei, Shaanxi, and Shandong transitioning into highly suitable zones. (4) Chemometric analyses revealed that A. dahurica samples from highly suitable areas contained significantly higher total coumarin content than those from medium-suitability regions. (5) A strong correlation was observed between key environmental factors (especially BIO_11 and DEM) and the relative content of five major coumarin components.(6) Spatial mapping of chemical composition indicated distinct regional differences in coumarin distribution, suggesting the potential for geoherbalism-based classification.DiscussionThe integration of ecological modeling with chemical analysis provides a powerful framework for understanding the impact of environmental variables on both the distribution and chemical quality of A. dahurica. …”
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Deaths “due to” COVID-19 and deaths “with” COVID-19 during the Omicron variant surge, among hospitalized patients in seven tertiary-care hospitals, Athens, Greece by Dimitrios Basoulis, Krystalenia Logioti, Ioanna Papaodyssea, Marios Chatzopoulos, Panagiota Alexopoulou, Panagiotis Mavroudis, Vassiliki Rapti, Vassiliki Poulia, Stamatina Samara, Vassiliki E. Georgakopoulou, Maria N. Gamaletsou, Christos Michailidis, Garyfallia Poulakou, Theano Kontopoulou, Vasileios Papastamopoulos, Georgios Chrysos, Maria Chini, Anastasia Antoniadou, Nikolaos V. Sipsas

“…Additionally, we aimed to analyze the factors associated with the classification of these deaths. We retrospectively re-viewed all in-hospital deaths, that were reported as COVID-19 deaths, in 7 hospitals, serving Athens, Greece, from January 1, 2022, until August 31, 2022. …”
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Novel Multi-Scale Attention Generative Adversarial Network for Photovoltaic Solar Cell Defect Inspection Using Electroluminescence Images by Yuanjun Guan, Yang Liu, Jiayi Wang, Tao Wang, Qianchuan Yi, Wenxin Jiang, Xiaopu Gu, Yichen Zhang, Li Zhang, Tianyan Han, Binbing Huang, Lilei Hu

“…With an industry-leading detection accuracy of 87.3%, this study makes a substantial contribution to mitigating data imbalance. …”
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Predictive value of near-term prediction models for severe immune-related adverse events in malignant tumor PD-1 inhibitor therapy by Yunyi Du, Ying Zhang, Wenqi Zhao, Yuexiang Zhang, Fei Su, Xiaoling Zhang, Weiling Li, Wenqing Hu, Yongai Li, Jun Zhao

“…A total of 138 patients were included, of whom 47 experienced grade 1–2 irAEs and 18 experienced grade 3–5 irAEs. The predictive model identified optimal α and λ through 10-fold cross-validation. …”
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Drug utilisation trends in a physical rehabilitation hospital by Ljubojević Gordana, Mastikosa Milan, Dostanić-Došenović Tanja, Novaković-Bursać Snježana, Tomić Nataša, Talić Goran, Škrbić Ranko, Stojiljković Miloš P.

“…The Anatomic Therapeutic Chemical classification/Defined Daily Dose (ATC/DDD) methodology was used to monitor the drug utilisation expressed as a number of DDD per 100 patient-days (HPD). …”
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Emergency department visits among people with cancer: Frequency, symptoms, and characteristics by Michael Shayne Gallaway, Nimi Idaikkadar, Eric Tai, Behnoosh Momin, Elizabeth A. Rohan, Julie Townsend, Mary Puckett, Sherri L. Stewart

“…The most common presenting symptoms were pain (19.1%); gastrointestinal (13.8%), respiratory (11.5%), and neurologic (5.3%) complaints; fever (4.9%); injury (4.1%); and bleeding (2.4%). …”
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Antimicrobial Resistance Profiles of Escherichia coli and Staphylococcus spp. Isolated from Locally Produced Fish and Imported Fish Sold in the Centre Region of Cameroon by Frédéric Moffo, Mohamed Moustapha Fokom Ndebé, Isaac Dah, Esther NNeme Nkolo, Ronald Vougat Ngom, Fabiola Nango Madjeue, Abel Wade, Hélène Tiomo, Victor Ngu Ngwa, Mohamed Moctar Mouliom Mouiche

“…The prevalence of antimicrobial-resistant E . coli and Staphylococcus spp. strains was significantly (p < 0.05) higher in locally produced fish (18.6%; 32.6%) than in imported fish (5.3%; 24.6%). According to the WHO Essential Medicines List Access, Watch, and Reserve (AWaRe) classification, the antimicrobial resistance profile of E. coli strains isolates ranged from 5% to 45% for antimicrobials classified as Access and Watch. …”
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Comprehensive genome-wide identification and functional analysis of the GT8 gene family in Eucalyptus Grandis by Yufan Jie, Liwan Liu, Linsi Li, Ai-Min Wu, Chunjie Fan, Siwen Liu, Siwen Liu

“…Genes were dispersed across all chromosomes except chromosomes 3 and 7. Promoter analysis revealed ubiquitous hormone-responsive cis-elements and prevalent light-responsive elements. …”
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The Influence of Fracture Defect Size on Treatment Outcomes in Distal Femur Fractures: A Comparative Study Between Lateral Locking Plate and Double Plate Fixation by Meng Li, Taoguang Wu, Zicheng Zhang, Xiaomeng Ren, Mengmeng Hu, Dong Zhang, Wei Zhang

“…Upon further analysis, non‐healing cases in the LLP‐only group were predominantly associated with A3, C2, and C3 type fractures, with 83.3% of these patients presenting metaphyseal defects exceeding 15 mm. …”
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