Designing an online intervention for adults with addictive eating: a qualitative integrated knowledge translation approach by Phillipa Hay, Amanda L Baker, Clare Collins, Tracy Burrows, Mark Leary, Kirrilly Pursey, Antonio Verdejo-García, Janelle Skinner, Megan C Whatnall

“…The integrated knowledge translation (IKT) framework involves adopting a collaborative research approach to produce and apply knowledge to address real-world needs, resulting in useful and useable recommendations that will more likely be applied in policy and practice. …”
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CLINICAL CARE PATHWAY AND MANAGEMENT OF MAJOR BLEEDING ASSOCIATED WITH NON-VITAMIN K ANTAGONIST ORAL ANTICOAGULANTS: A MODIFIED DELPHI CONSENSUS FROM SAUDI ARABIA AND UAE by Abdulrahman Al Raizah, Fakhr Alayoubi, Galal Hassan Abdelnaby, Hazzaa Alzahrani, Majid Farraj Bakheet, Mohammed A Alskaini, Rasha Buhumaid, Sameer Al Awadhi, Sara Nooruddin Kazim, Thiagarajan Jaiganesh, Zohair Al Asiri

“…Treating physicians should have prompt access to specific reversal agents to optimize patient outcomes. Real-world evidence and national guidelines are needed to aid all stakeholders involved in NOAC-induced bleeding management. …”
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Refinement of a meaning-centered counseling program for Chinese patients with advanced cancer: integrating cultural adaptation and implementation science approaches by Florence Lui, Qingyi Zhang, George Chengxi Bao, Bharat Narang, Ruo Yan Chen, Yunshan Niu, Jennifer Leng, William Breitbart

“…Findings yielded important information to maximize cultural relevance as well as the implementation and sustainability potential of MCP-Ch in real-world settings.…”
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Identity Construction and Transformation of Zen Tourists by Xu Haichao, Liang Zengxian

“…"Identity contextualization" and "contextualization of space" are the two stages when Zen tourists return to the real world, leaving the religious Zen sites, corresponding to individual identity maintenance and identity constraints. …”
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Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-dimensional Data-driven Priors for Inverse Problems by Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh, Laurence Perreault-Levasseur

“…This, in turn, can bias the inferred posteriors in ways that are difficult to quantify, which limits the potential applicability of these models in real-world scenarios. In this work, we propose addressing this issue by iteratively updating the population-level distributions by retraining the model with posterior samples from different sets of observations, and we showcase the potential of this method on the problem of background image reconstruction in strong gravitational lensing when score-based models are used as data-driven priors. …”
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Design and Application of a Data-computation Integrated Database for Meteorological Grid Data by Wang Shu, Xu Yongjun, He Wenchun, Wu Huanping, Gao Feng, Liu Yuanyuan, Liu Bei, Lü Guanru, Ni Xuelei

“…Performance tests and real-world applications have demonstrated that PostGrid significantly enhances the efficiency of meteorological data services, reducing the time required for traditional aggregation calculations from minutes to just milliseconds. …”
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Impact of Novel Guidelines on Multifactorial Control and Its Association with Mortality in Adult Patients with Hypertension and Newly Diagnosed Type 2 Diabetes: A 4-Year Prospectiv... by Ngoc-Thanh-Van Nguyen, Hoa Ngoc Chau, Nam Hoai Le, Hai Hoang Nguyen, Hoai-An Nguyen

“…These findings demonstrated real-world difficulties in managing hypertension and newly diagnosed diabetes, especially with stringent criteria from novel guidelines. …”
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Thrombotic vs. Bleeding Events of Interruption of Dual Antiplatelet Therapy within 12 Months among Patients with Stent-Driven High Ischemic Risk Definition following PCI by Hao-Yu Wang, Bo Xu, Chen-Xi Song, Chang-Dong Guan, Li-Hua Xie, Yan-Yan Zhao, Zhong-Xing Cai, Sheng Yuan, Ke-Fei Dou

“…There is a paucity of real-world data regarding the clinical impact of dual antiplatelet therapy (DAPT) interruption (temporary or permanent) among patients at high ischemic risk. …”
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Siltuximab for chimeric antigen receptor T-cell therapy–related CRS and ICANS: a multicenter retrospective analysis by Amneet Bajwa, Qiuhong Zhao, Marcus Geer, Chenyu Lin, James Westholder, Joseph Maakaron, Monalisa Ghosh, David Frame, Ahmed Galal, Justin Tossey, Nausheen Ahmed, Evandro Bezerra, Nathan Denlinger, Marcos de Lima, Narendranath Epperla, Paolo Caimi, Timothy Voorhees

“…We conducted a multicenter retrospective analysis of siltuximab treatment for CRS and ICANS after CAR-T therapy in a real-world cohort from 6 academic centers. Fifty-four patients were evaluated. …”
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The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency by Md. Faiyazuddin, Syed Jalal Q. Rahman, Gaurav Anand, Reyaz Kausar Siddiqui, Rachana Mehta, Mahalaqua Nazli Khatib, Shilpa Gaidhane, Quazi Syed Zahiruddin, Arif Hussain, Ranjit Sah

“…It examines the uses and effects of AI on healthcare by synthesizing recent literature and real‐world case studies, such as Google Health and IBM Watson Health, highlighting AI technologies, their useful applications, and the difficulties in putting them into practice, including problems with data security and resource limitations. …”
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Immune checkpoint inhibitor-induced diabetes mellitus: clinical characteristics and risk factors by Mei Zhan, Mei Zhan, Qinran Long, Qinran Long, Jinhan He, Jinhan He, Jinhan He, Litao Huang, Bin Wu, Bin Wu, Haixia Xu, Li Mo, Ting Xu

“…In all patients and those patients without the influence of glucocorticoids and immunosuppressants, hypertension and hyperlipidemia may increase the risk for ICI-DM.ConclusionsThis large, real-world cohort demonstrates that the incidence of ICI-DM may be underestimated in previous literature. …”
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Involving national stakeholders in a systems approach to map drivers of childhood obesity and actions to prevent childhood obesity in Denmark: the Generation Healthy Kids Study by Knud Ryom, Paul Bloch, Ulla Toft, Didde Høeg, Louise T. Thomsen, Steven Allender, Harry Rutter, Adrian Bauman, Rikke Fredenslund Krølner, Anders Blædel Gottlieb Hansen

“…Aim This paper describes the processes of gathering national stakeholders to create a system map of childhood obesity drivers in Denmark to map existing obesity prevention initiatives and define real-world actions to prevent childhood obesity in local communities in Denmark. …”
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Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence by Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ben J. Tamo, Micky C. Nnamdi, Andrew Hornback, Ashley M. Carpenter, Coleman Hilton, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang

“…In the age of personalized medicine, the proposed responsible AI-enabled clinical decision-support system may facilitate pre-operative counseling and shared decision-making within real-world clinical settings.…”
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Integrating Hybrid Team-Based and Case-Based Learning in Dental Education Transformation by Sidra Abid, Humna Rafiq

“…However, challenges such as resource availability and the need for comprehensive reviews of existing methodologies must be addressed to optimize the implementation of this hybrid pedagogy.7 Conclusively, integrating CBL with team-based learning cultivates a more competent and adaptable dental workforce, better prepared for real-world clinical scenarios. …”
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Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches by Said El Harkaoui, Cristina Ortiz Cruz, Aaron Roggenland, Micha Schneider, Sascha Rohn, Stephan Drusch, Bertrand Matthäus

“…Both models achieved good classification accuracies, with RF achieving higher accuracy than NN, reaching 94% on simulated datasets and 90% on real-world samples with detectable adulteration levels as low as 1%. …”
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A novel agricultural drought index based on multi-source remote sensing data and interpretable machine learning by Hao Chen, Ni Yang, Xuanhua Song, Chunhua Lu, Menglan Lu, Tan Chen, Shulin Deng

“…The results show that IMLDI has a higher spatial and temporal consistency with standardized precipitation evapotranspiration index, can better reflect the real-world observed drought-affected cropland areas and gross primary production, and can also well describe the evolutions of 2009/2010 and 2019 drought events in the eastern parts of China, indicating higher drought monitoring performance of IMLDI. …”
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Deep Learning for Identification and Characterization of Ca ii Absorption Lines: A Multitask Convolutional Neural Network Approach by Yang Liu, Jie Li, Linqing Gao, Haotong Zhang, Zhenghua Xu, Yu Wang, Wenbin Lin

“…This translates to a dramatic reduction in manual inspection workload, paving the way for efficient and automated Ca ii absorber identification. In real-world applications on the Sloan Digital Sky Survey DR7 and DR12, our model successfully rediscovered 321 known Ca ii absorbers while identifying potential candidates in an additional 381 spectra. …”
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Implementation of Compensation-Sensitive Shot-Style-Feedback of Aiming Point Training Data at the Swiss Shooting Federation by Dino Tartaruga, Ralf Kredel

“…In our view, this project serves as a good example of how challenging real-world problems brought up by coaches and embedded scientists can be jointly structured and solved at federation and university level, and how their solution can ultimately lead to practical tools reshaping and improving a federation’s process landscape. …”
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Detection and Classification of Teacher-Rated Children’s Activity Levels Using Millimeter-Wave Radar and Machine Learning: A Pilot Study in a Real Primary School Environment by Tianyi Wang, Takuya Sakamoto, Yu Oshima, Itsuki Iwata, Masaya Kato, Haruto Kobayashi, Manabu Wakuta, Masako Myowa, Tokomo Nishimura, Atsushi Senju

“…The integration of millimeter-wave radar and machine learning offers a promising avenue for efficient and ethical trait assessments in real-world educational environments, contributing to the advancement of child psychology and education. …”
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A Digital Tool for Clinical Evidence–Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study by Shahzad Mumtaz, Megan McMinn, Christian Cole, Chuang Gao, Christopher Hall, Magalie Guignard-Duff, Huayi Huang, David A McAllister, Daniel R Morales, Emily Jefferson, Bruce Guthrie

“…Using the digital tool can potentially improve evidence-driven guideline development through the availability of real-world data in real time.…”
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