Bath: a Bayesian approach to analyze epigenetic transitions reveals a dual role of H3K27me3 in chondrogenesis by Christoph Neu, Manuela Wuelling, Christoph Waterkamp, Daniel Hoffmann, Andrea Vortkamp

“…As differentiation-associated state transitions are likely limited to a reduced set of genes, one challenge of such global analyses is the identification of these rare transitions within the large-scale data. …”
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Trochanteric hip fractures treated surgically—outcome in a ten-year cohort of 46,121 patients from the Swedish National Hip Fracture Registry by Tomas Borg, MD, PhD, Maximilian Peter Forssten, MD, Ahmad Mohammad Ismail, MD, PhD, Yang Cao, PhD, Shahin Mohseni, MD, PhD

“…Patients were grouped based on the surgical technique: sliding hip screw (SHS) or intramedullary (IM) nail. This data set was cross-referenced with a National Board of Health and Welfare's patient registry and a Cause of Death registry. …”
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Mid-term results after DAIR for patients with acute periprosthetic joint infections of the hip or knee by Alberto Alfieri Zellner, Niclas Watzlawik, Jonas Roos, Gunnar Thorben Rembert Hischebeth, Christian Prangenberg, Alexander Franz, Frank Sebastian Fröschen

“…For this assessment, our data indicates to look at patient specific factors such as age, ASA score, revision implant, and preoperative cell count. …”
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Interannual variability of the Barents Sea branch water in the northeastern part of the Barents Sea and the St. Anna Trough by Zinaida Zabudkina, Zinaida Zabudkina, Alexander Osadchiev, Alexander Osadchiev, Alexander Osadchiev, Vladimir Ivanov, Vladimir Ivanov, Mikhail Makhotin, Viktor Merkulov

“…We analyze an extensive data set of in situ data measurements performed during warm season from 1977 to 2024 in the northeastern part of the Barents Sea and in the St. …”
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Identifying Stuttering in Arabic Speakers Who Stutter: Development of a Non-word Repetition Task and Preliminary Results by Roaa Alsulaiman, John Harris, Sarah Bamaas, Peter Howell

“…The AEN_NWR provides a new assessment tool for detecting stuttering in speaker of Arabic and English. …”
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Defining Seropositivity Thresholds for Use in Trachoma Elimination Studies. by Stephanie J Migchelsen, Diana L Martin, Khamphoua Southisombath, Patrick Turyaguma, Anne Heggen, Peter Paul Rubangakene, Hassan Joof, Pateh Makalo, Gretchen Cooley, Sarah Gwyn, Anthony W Solomon, Martin J Holland, Paul Courtright, Rebecca Willis, Neal D E Alexander, David C W Mabey, Chrissy H Roberts

“…We propose that future serological analyses in trachoma use a finite mixture model or expectation-maximisation algorithm as a means of setting the threshold for ELISA data. This will facilitate standardisation and harmonisation between studies and eliminate the need to establish and maintain a global calibration standard.…”
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Atypical Symptoms of Acute Coronary Syndrome and Their Predictors by Masoumeh Rezvani, Mohammad-Taghi Moghadamnia, Ehsan Kazemnejad Leili, Majid Pourshaikhian, Hojjat Houshyari Khah

“…The significance level was set as P<0.05. Results: In this study, 56.3% of the patients were male. …”
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Academic and Community Hospitals differ in stroke subtype classification and cardiac monitoring: the DiVERT multi-center cohort study by David Z. Rose, Ruchir A. Shah, Josh Snavely, Marla Hairston, Stephen Adams, Paul D. Ziegler, Sarah C. Rosemas, Michael Chandler, Roberto Carta, Karah B. Neisen, Noreli C. Franco, Thomas G. Devlin

“…Identifying the degree of heterogeneity may encourage development of guideline-directed monitoring protocols, result in higher AF detection rates and treatments, and fewer strokes.MethodsThe DiVERT (SeconDary Stroke PreVEntion ThRough Pathway ManagemenT) study was designed to characterize post-stroke cardiac monitoring practices in a hospital setting. …”
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Advancing Early Warning Systems for Malaria: Progress, challenges, and future directions - A scoping review. by Donnie Mategula, Judy Gichuki, Karen I Barnes, Emanuele Giorgi, Dianne Janette Terlouw

“…The studies varied in their transmission settings, from pre-elimination to high burden, and their purposes, ranging from outbreak detection to resource allocation. …”
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A model for promoting breast self-examination among rural South African women in KwaZulu-Natal by Nelisha Sarmah, Maureen N. Sibiya, Thandokuhle E. Khoza

“…Background: Breast self-examination (BSE) is a safe, easy and affordable breast screening tool encouraged as an alternative screening method in low-resource settings. The late presentation of breast cancer among rural African women in South Africa is of great concern. …”
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Exploring the Limitations of Federated Learning: A Novel Wasserstein Metric-Based Poisoning Attack on Traffic Sign Classification by Suzan Almutairi, Ahmed Barnawi

“…For example, in a cross-silo setting using Krum, WMPA reduces the FL model&#x2019;s accuracy from 70% to 30.1%. …”
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Recommendation to improve chronic kidney disease management guideline in primary healthcare, KwaZulu-Natal by Verosha Ramkelawan, Pretty N. Mbeje, Ntombifikile G. Mtshali

“…The study was therefore conducted in four different settings: a tertiary hospital in Durban and three PHC centres across KZN (two urban centres and one in a township). …”
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The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis by Lan Xu, Zian Chen, Dan Zhu, Yingjun Wang

“… BackgroundOver the past few years, radiomics for the detection of intrahepatic cholangiocarcinoma (ICC) has been extensively studied. …”
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Diagnostic value of BNLF2b antibody, dual-antibody testing and Epstein–Barr virus DNA in nasopharyngeal carcinoma: a prospective cohort study in Hunan Province, China by Ping Xiao, Bin Qu, Lisha Sun, Hongyu Deng, Qinglin Liu, Haoming Shen

“…Objectives This study evaluates the diagnostic value of the BNLF2b antibody, dual antibody testing and Epstein-Barr virus DNA (EBV-DNA) individually and in combination for nasopharyngeal carcinoma (NPC) detection.Design A prospective cohort study.Setting The study was conducted at Hunan Cancer Hospital, in a region in China with a high incidence of NPC, between January 2024 and June 2024.Participants A total of 350 patients with suspected NPC were enrolled based on clinical suspicion (eg, metastatic cervical lymph nodes or nasopharyngeal abnormalities with non-specific symptoms). …”
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EXPERIENCE WITH VIRTUAL SONOGRAPHY OF THE BREAST by O. E. Yakobs, N. I. Rozhkova, M. L. Mazo, S. Yu. Mikushin

“…Having no preliminary additional information on each patient, an independent expert – a radiologic diagnostician appraised all ultrasound scanning data at a special review station. Results. The sensitivity of the automated scanning assay in detecting breast abnormalities was 100%; its specificity and diagnostic accuracy were 40 and 88%, respectively. …”
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Screening for Depression and Anxiety Using a Nonverbal Working Memory Task in a Sample of Older Brazilians: Observational Study of Preliminary Artificial Intelligence Model Transfe... by Alexandra Livia Georgescu, Nicholas Cummins, Emilia Molimpakis, Eduardo Giacomazzi, Joana Rodrigues Marczyk, Stefano Goria

“…After recomputing the AUC scores on a cross-sectional subset of the data (the first n-back game session), we found AUCs of 0.79 for PHQ-8 and 0.76 for GAD-7. …”
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GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions by Shani Cohen, Lior Rokach, Isana Veksler-Lublinsky

“…In this paper, we hypothesize that ML models trained on large-scale interaction data from specific conditions can accurately predict new interactions in unseen conditions within the same bacterial strain. …”
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Development and external validation of a machine learning model for cardiac valve calcification early screening in dialysis patients: a multicenter study by Xiaoxu Wang, Yinfang Li, Zixin Cao, Yunuo Li, Jingyuan Cao, Yao Wang, Min Li, Jing Zheng, Siqi Peng, Wen Shi, Qianqian Wu, Junlan Yang, Yaping Fang, Aiqing Zhang, Xiaoliang Zhang, Bin Wang

“…This study aimed to develop and validate a machine learning model to enhance early detection of CVC.Methods Data were collected at four centers between 2020 and 2023, including 852 dialysis patients in the development dataset and 661 in the external validation dataset. …”
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Construction of a risk prediction model for postoperative deep vein thrombosis in colorectal cancer patients based on machine learning algorithms by Xin Liu, Xingming Shu, Yejiang Zhou, Yifan Jiang

“…We employed the Synthetic Minority Oversampling Technique to address imbalanced data and split the dataset into training and validation sets in a 7:3 ratio. …”
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Identifying bellwether sewershed sites for sustainable disease surveillance in Bengaluru, India: a longitudinal studyResearch in context by Rebecca Fern Daniel, Subash K. Kannan, Namrta Daroch, Sutharsan Ganesan, Farhina Mozaffer, Vishwanath Srikantaiah, Lingadahalli Subrahmanya Shashidhara, Rakesh Mishra, Farah Ishtiaq

“…In a post-pandemic world, particularly in low-resource settings, focusing on the best-performing sewershed sites will ensure high-quality data that captures valid signals amid the noise from wastewater, conserves resources, and optimises public health actions beyond SARS-CoV-2. …”
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