Process for mainstreaming genetic cascade testing into primary and tertiary health systems in familial hypercholesterolaemia (FH), an autosomal dominant, fully penetrant disorder by Bridie Carr, David Sullivan, Gabrielle Fleming, Cameron Hemmert, Claire Trumble, Catherine Spinks, Shubha Srinivasan, Madeline Calder, Ronald Trent, Karen L Birkenhead, Kerrie Martin, Charlotte M Hespe, Mitchell Sarkies

“…This study describes a process for tailoring a primary-tertiary shared care model for FH to optimise health professional and patient engagement.Methods Data were collected through semistructured interviews (n=10) with stakeholders in New South Wales, Australia. …”
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The characterization of serum proteomics and metabolomics across the cancer trajectory in chronic hepatitis B‐related liver diseases by Jin Xiao, Hang Liu, Jun Yao, Shuang Yang, Fenglin Shen, KunPeng Bu, Zhenxin Wang, Fan Liu, Ningshao Xia, Quan Yuan, Hong Shu, Yueting Xiong, Xiaohui Liu

“…These two biomarker combinations significantly improved accuracy compared to traditional tumor biomarkers. Our extensive analysis provides valuable proteomic and metabolomic data resources that will contribute to a deeper understanding of liver disease progression and enhance the identification of potential therapeutic targets.…”
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Using Image-based AI for insect monitoring and conservation - InsectAI COST Action by Tom August, Mario Balzan, Paul Bodesheim, Gunnar Brehm, Lisette Cantú-Salazar, Sílvia Castro, Joseph Chipperfield, Guillaume Ghisbain, Alba Gomez-Segura, Jérémie Goulnik, Quentin Groom, Laurens Hogeweg, Chantal Huijbers, Andreas Kamilaris, Karolis Kazlauskis, Wouter Koch, Dimitri Korsch, João Loureiro, Youri Martin, Angeliki Martinou, Kent McFarland, Xavier Mestdagh, Denis Michez, Charlie Outhwaite, Luca Pegoraro, Nadja Pernat, Lars Pettersson, Pavel Pipek, Cristina Preda, David Rolnick, Tobias Roth, David Roy, Helen Roy, Veljo Runnel, Martina Sasic, Dmitry Schigel, Julie Sheard, Cecilie Svenningsen, Heliana Teixeira, Nicolas Titeux, Thomas Tscheulin, Elli Tzirkalli, Marijn van der Velde, Roel van Klink, Nicolas Vereecken, Sarah Vray, Toke Thomas Høye

“…These groups will address how image-based insect AI technologies can best address Societal Needs, support innovation in Image Collection hardware, create standardised approaches for Image Processing and develop novel Data Analysis and Integration methods for turning data into actionable insights.…”
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Mortality risk prediction model in AIDS patients with pneumocystis pneumonia in China by Xi Wang, Letian Liu, Wen Wang, Yang Zhang, Hui Chen, Zhangli Wang, Jianwei Li, Yue Gao, Yanqun Huang, Lijun Sun, Tong Zhang, Aixin Li

“…Prediction variables were screened with Multivariate logistic regression analysis and Lasso regression model. We used ROC curve to identify the discrimination of training and testing data sets. …”
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Internet of things-based smart system for apple orchards monitoring and management by Bahareh Jamshidi, Hossein Khabbaz Jolfaee, Kazem Mohammadpour, Mohsen Seilsepour, Hossein Dehghanisanij, Hassan Hajnajari, Hossein Farazmand, Alireza Atri

“…Methods for forecasting apple powdery mildew disease and apple codling moth, as well as thresholds for starting and stopping irrigation were determined and used as bases for decision-making in the system software. Moreover, data processing and required analysis were carried out in the system software along with the presentation of meteorological information, phenology of apple fruit growth stages, and scientific and technical instructions for fertilization in apple orchards (processing layer). …”
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Incidence and predictors of mortality among low birth weight neonates admitted to neonatal intensive care unit in selected public hospitals, North Shoa zone, Amhara Region, Ethiopi... by Leweyehu Alemaw Mengstie, Mohammed Tessema Gebeyehu, Wegayehu Zeneb Teklehaimanot, Wondimeneh Shibabaw Shiferaw, Wondimeneh Shibabaw Shiferaw, Tirusew Nigussie Kebede, Worku Abemie, Bekahegn Girma

“…However, little is known about low birth weight neonatal incidence and predictors of Mortality in Ethiopia.ObjectiveThe study aimed to assess the incidence and predictors of mortality among low birth weight neonates admitted to the neonatal intensive care unit at a public hospital, in Northeast, Ethiopia, 2021.MethodsAn institution-based retrospective follow-up study was conducted among 416 low-birth-weight neonates admitted to the neonatal intensive care unit from January 1, 2019 to December 30, 2021. Epi-data version 3.1 was used for data entry and Stata14 software for analysis. …”
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The nomogram model predicts relapse risk in myelin oligodendrocyte glycoprotein antibody-associated disease: a single-center study by Jiafei Cheng, Jiafei Cheng, Zhuoran Wang, Zhuoran Wang, Jing Wang, Xiaomin Pang, Jianli Wang, Meini Zhang, Junhong Guo, Huaxing Meng

“…A prediction model was constructed, and a nomogram was developed. The receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to evaluate and internally validate model performance.ResultsAmong 88 MOGAD patients, 29 relapsed within 1 year of onset (33%). …”
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Differential effects of air pollution on ischemic stroke and ischemic heart disease by ethnicity in a nationwide cohort in the Netherlands by Lieke van den Brekel, Joreintje D. Mackenbach, Diederick E. Grobbee, Gerard Hoek, Ilonca Vaartjes, Yvonne Koop

“…Methods This nationwide analysis (2014–2019), linked residential-address concentrations of NO2 and PM2.5 to individual-level hospital and mortality data. …”
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Cognitive Training for Emotion-Related Impulsivity and Rumination: Protocol for a Pilot Randomized Waitlist-Controlled Trial by K J D Allen, Matthew V Elliott, Eivind Haga Ronold, Liam Mason, Nandini Rajgopal, Åsa Hammar, Sheri L Johnson

“…Recruitment is scheduled to begin in spring 2025. We will begin data analysis once data collection is complete, which is planned to occur in fall 2025. …”
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Restoration of limited defects of the cartilage with the use of cell-engineered constructs by S. A. Gerasimov, N. A. Tenilin, D. Ia. Aleynik, S. N. Bugrov, N. Iu. Shirokova, A. A. Zykin

“…Aim: to develop a three-dimensional composite cell-engineered constructs (CEC) for restoration of limited defects of the cartilage in experiment.Materials and methods. …”
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Variability in performance of genetic-enhanced DXA-BMD prediction models across diverse ethnic and geographic populations: A risk prediction study. by Yong Liu, Xiang-He Meng, Chong Wu, Kuan-Jui Su, Anqi Liu, Qing Tian, Lan-Juan Zhao, Chuan Qiu, Zhe Luo, Martha I Gonzalez-Ramirez, Hui Shen, Hong-Mei Xiao, Hong-Wen Deng

“…This study aims to develop BMD prediction models using data from the UK Biobank (UKBB) and test their performance across different ethnic and geographical populations.…”
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The glycemic index diets and the risk of metabolic syndrome in male urban population of Novosibirsk (population studies) by A. K. Kuntsevich, G. I. Simonova, S. V. Mustafina, E. G. Verevkin, I. P. Berezovikova, P. E. Vloshchinskij, O. D. Rymar

“…To calculate the GI diets used data from the International tables of glycemic index and glycemic load, as well as data published Lobykinoy E.N. et al. …”
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AI-powered machine learning models for monitoring and optimization of biodrying process by Abhisit Bhatsada, Panida Payomthip, Tanik Itsarathorn, Ye Nyi Nyi Lwin, Eka Wahyanti, Sirintornthep Towprayoon, Suthum Patumsawad, Chart Chiemchaisri, Komsilp Wangyao

“…Experimental data were collected from four distinct waste types: fluff RDF, coarse RDF, fresh municipal solid waste, and market waste. …”
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An integrated cloud system based serverless android app for generalised tractor drawbar pull prediction model using machine learning by Harsh Nagar, Rajendra Machavaram, Ambuj, Peeyush Soni, Subhajit Saha, T. Subhash Chandra Bose

“…The drawbar pull prediction models from ANN and six ML algorithms were developed, and the data analysis with hyperparameter tuning concluded that the Extreme Gradient Boosting (XGB) ML model outperformed the other ML models. …”
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Knowledge and attitudes towards Alzheimer’s disease and related dementias among Nigerian medical and nursing students: a comparative study by Tobi Olajide, Favour Ajao, Inioluwa Joshua, Abigail Oyedokun, Ayosubomi Odubiyi, Oluwadabira Adewara, Feziechi Anele, Ayomide Fatola, Samuel Ayeni, Nneka Amakom, Oluwanifemi Osakuade, Oluwabunmi Adeyeye, Chidera Ezeh, Gbenga Shittu, Rashidat Mufutau, Serena Atoyebi, Michael Apata, Sandra Obatowon, Aminat Abdul, Jesufemi Adeyeye, Akin Ojagbemi

“…Multivariate analysis of variance (MANOVA) was used to compare mean scores between these students. …”
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Transparent and Robust Artificial Intelligence-Driven Electrocardiogram Model for Left Ventricular Systolic Dysfunction by Min Sung Lee, Jong-Hwan Jang, Sora Kang, Ga In Han, Ah-Hyun Yoo, Yong-Yeon Jo, Jeong Min Son, Joon-myoung Kwon, Sooyeon Lee, Ji Sung Lee, Hak Seung Lee, Kyung-Hee Kim

“…Recent advances in deep learning offer new opportunities to identify left ventricular systolic dysfunction (LVSD), a key indicator of HF, from ECG data. This study validates AiTiALVSD, our previously developed artificial intelligence (AI)-enabled ECG Software as a Medical Device, for its accuracy, transparency, and robustness in detecting LVSD. …”
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Prehospital triage of patients with suspected stroke symptoms (PRESTO): protocol of a prospective observational study by Hester F Lingsma, Aad van der Lugt, Diederik W J Dippel, Vicky Chalos, Esmee Venema, Martijne H C Duvekot, Anouk D Rozeman, Walid Moudrous, Frederique H Vermeij, Marileen Biekart, Henk Kerkhoff, Bob Roozenbeek, Cees L Alblas, Laus Jjm Mulder, Bruno JM van Moll, Lisette Maasland, Roeland PJ van Eijkelenburg, Frits GJ Weijschede, Bianca Buijck, Amber Hoek, Jeanette Bakker, Erick Oskam, Rezan Demir, Mandy MA van der Zon, Egon D Zwets, Mirjam Woudenberg, Anja Noordam-reijm, Timo Bevelander, Eveline JA Wiegers

“…Primary outcome is the clinical diagnosis of an acute ischaemic stroke with an intracranial LVO in the anterior circulation. Additional hospital data concerning the diagnosis and provided treatment will be collected by chart review. …”
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Monoclonal antibody for phosphorylated TRIO Y2681 that helps predict prognosis of post-operative colorectal cancer patients by Taro Aoyama, Fumihiko Kakizaki, Hiroyuki Miyoshi, Masahiro Sonoshita, Hisatsugu Maekawa, Yoshiro Itatani, Kenji Kawada, Ryo Matsusue, Iwao Ikai, Koki Moriyoshi, Takaki Sakurai, Kazutaka Obama, Tosiya Shun Sato, Yoshiharu Sakai, Makoto Mark Taketo

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Elements of organisation of integrated maternity care and their associations with outcomes: a scoping review protocol by Soo Downe, Ank de Jonge, Pim P Valentijn, Suzanne Thompson, Hester Rippen, Corine J M Verhoeven, Jolanda Liebregts, Bahareh Goodarzi, Jan Jaap Erwich, George Burchell, Ronald Batenburg, Eline F de Vries, Irene de Graaf, Puck van Heemstra, Jeroen Struijs, Susanne Zuidhof, Inge Boesveld, Anouk Kaiser, Mirjam Fransen, Durk Berks, Pauline Haga, Katarzyna Burzynska, Joland Vermolen, Lucienne Bakker, Mariëtte Hoogsteder, Lillian Peters, Conny Vreugdehil, Aimée Sparendam-Bruijnincx, Betty de Vries, Elle Struijf, Lillianne van der Velde, Bert Horlings, Marianne Nieuwenhuijze, Marc Roosenboom, Simone Plaizier

“…Introduction Integrated care is seen as an enabling strategy in organising healthcare to improve quality, finances, personnel and sustainability. Developments in the organisation of maternity care follow this trend. …”
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Utilization of near infrared spectroscopy coupled with chemometrics for non-destructive detection of mold in sweet tamarind by Muhammad Zeeshan Ali, Pimjai Seehanam, Parichat Theanjumpol, Katthareeya Sonthiya, Kawinthida Suksai, Phonkrit Maniwara

“…Overall, the mean spectral model of three places, obtained from six integrated spectra, exhibited optimal performance, which was utilized to develop classification models employing principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and artificial neural networks (ANN). …”
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