Combined Methods for Diabetic Retinopathy Screening, Using Retina Photographs and Tear Fluid Proteomics Biomarkers by Zsolt Torok, Tunde Peto, Eva Csosz, Edit Tukacs, Agnes M. Molnar, Andras Berta, Jozsef Tozser, Andras Hajdu, Valeria Nagy, Balint Domokos, Adrienne Csutak

“…The results from the tear fluid proteomics analysis and from digital microaneurysm (MA) detection on fundus images were used as the input of a machine learning system. Results. MA detection method alone resulted in 0.84 sensitivity and 0.81 specificity. …”
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Multi-Feature Driver Variable Fusion Downscaling TROPOMI Solar-Induced Chlorophyll Fluorescence Approach by Jinrui Fan, Xiaoping Lu, Guosheng Cai, Zhengfang Lou, Jing Wen

“…Using the Random Forest (RF) model, we downscaled SIF data from 0.05° to 1 km based on invariant spatial scaling theory, focusing on the winter wheat growth cycle. Various machine learning models, including CNN, Stacking, Extreme Random Trees, AdaBoost, and GBDT, were compared, with Random Forest yielding the best performance, achieving R² = 0.931, RMSE = 0.052 mW/m²/nm/sr, and MAE = 0.031 mW/m²/nm/sr for 2018–2019 and R² = 0.926, RMSE = 0.058 mW/m²/nm/sr, and MAE = 0.034 mW/m²/nm/sr for 2019–2020. …”
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Comparison of diet and exercise on cardiometabolic factors in young adults with overweight/obesity: multiomics analysis and gut microbiota prediction, a randomized controlled trial by Zongyu Lin, Tianze Li, Fenglian Huang, Miao Wu, Lewei Zhu, Yueqin Zhou, Ying‐An Ming, Zhijun Lu, Wei Peng, Fei Gao, Yanna Zhu

“…Additionally, we used machine learning algorithms to further predict individual responses based on baseline gut microbiota composition, with specific microbial genera guiding targeted intervention selection. …”
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Teknologi Realitas Virtual pada Perangkat Bergerak untuk Media Pengenalan Lingkungan Haji by Usaid Syawahidul Chaq, Febriliyan Samopa

“…However, to learn and practice Hajj rituals directly on a regular basis certainly requires extra money and energy. …”
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Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol by Jaap Oosterlaan, Marsh Königs, Job B M van Woensel, Marc Engelen, Marjan E Steenweg, Petra J W Pouwels, Cece C Kooper, Hilgo Bruining, Arne Popma, Dennis R Buis, Maayke Hunfeld

“…In addition, the potential added value of advanced neuroimaging data and the use of machine learning algorithms in the development of prognostic models will be assessed.Methods and analysis 210 children aged 4–18 years diagnosed with mild-to-severe TBI will be prospectively recruited from a research network of Dutch hospitals. …”
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Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoringDrya... by Osiris Chávez-Martínez, Sergio Alberto Monjardin-Armenta, Jesús Gabriel Rangel-Peraza, Zuriel Dathan Mora-Felix, Antonio Jesus Sanhouse-García

“…However, this multispectral imagery dataset can also have various uses, such as creating training datasets with accurate labels or classes which can then be used to develop, train, and/or validate machine learning algorithms for image classification, object detection tasks, or change detection analysis.…”
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Personality characteristics of students in the regulation of network activity by S. E. Panshina, N. L. Sungurova, N. B. Karabushchenko

“…The research results can be used to improve distance learning programmes, additional education courses, as well as to increase the efficacy of regulation of student's network activity in order to prevent Internet addiction.…”
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Minimally Invasive Mitral Valve Surgery: Initial One-team Experience and Short Review. by Selman Dumani, Ermal Likaj, Laureta Dibra, Saimir Kuci, Edlira Rruci, Alfred Ibrahimi, Aferdita Veseli, Fjorba Mana, Devis Pellumbi, Alessia Mehmeti, Ali Refatllari, Altin Veshti

“…We need a more extensive study to confirm the other advantages, but minimal-invasive should be pushed to become a standard approach for mitral valve surgery. An adequate learning curve is mandatory for all the operative teams to achieve all the benefits for the patients. …”
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Biparametric MRI-based radiomics for noninvastive discrimination of benign prostatic hyperplasia nodules (BPH) and prostate cancer nodules: a bio-centric retrospective cohort study by Yangbai Lu, Runqiang Yuan, Yun Su, Zhiying Liang, Hongxing Huang, Qu Leng, Ang Yang, Xuehong Xiao, Zhaoqi Lai, Yongxin Zhang

“…Radiomic models were created by comparing seven machine learning classifiers. The useful clinical variables and radiomic signature were integrated to develop the combined model. …”
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Compact Quantum Cascade Laser-Based Noninvasive Glucose Sensor Upgraded with Direct Comb Data-Mining by Liying Song, Zhiqiang Han, Hengyong Nie, Woon-Ming Lau

“…The sensor data-mines 164 sets of critical singularity strengths, each comprising 4 critical singularity strengths directly from the 9840 million raw signal datapoints, and the 656 critical singularity strengths are subjected to a machine-learning regression model analysis, which yields 164 glucose concentrations. …”
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Predictive Policing and Enhancing Security Performance through Artificial Intelligence Applications by Bensalem Kheira

“…By leveraging comprehensive data analysis and machine learning, AI enables proactive responses to both natural disasters and the globalization of crime. …”
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Diagnosis of lung cancer using salivary miRNAs expression and clinical characteristics by Negar Alizadeh, Hoda Zahedi, Maryam Koopaie, Mahnaz Fatahzadeh, Reza Mousavi, Sajad Kolahdooz

“…Receiver operating characteristic (ROC) curve was utilized to assess the potential significance of miRNAs in saliva for lung cancer diagnosis with the use of multiple logistic regression (MLR), principal component analysis, and machine learning methods. Results Diagnostic odds ratio (DOR) of miR-20a in lung adenocarcinoma diagnosis versus healthy control was higher than miR-221, and DOR of miR-221 was higher than let-7a-2. miR-20a demonstrated a higher DOR for small cell lung carcinoma versus healthy control compared to let-7a-2, which in turn exhibited a higher DOR than miR-221. …”
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Analytical performance of OncoPrism-HNSCC, an RNA-based assay to inform immune checkpoint inhibitor treatment decisions for recurrent/metastatic head and neck squamous cell carcino... by Jeffrey Hiken, Jon Earls, Kevin C. Flanagan, Rachel L. Wellinghoff, Michelle Ponder, David N. Messina, Jarret I. Glasscock, Eric J. Duncavage

“…The assay combines next generation RNA sequencing-based immunomodulatory gene expression signatures with machine learning algorithms to generate an OncoPrism score that classifies patients as having low, medium, or high likelihood of disease control in response to ICI treatment. …”
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Emotional regulation as a transdiagnostic category through clinical problems: a narrative study by Alvaro Paredes-Rivera, Geraldine F Coria-Palomino, Alexandra Y Marcos-Lescano, Sthefany Sedano-Alejandro

“…Especially from the biological and contextual points and taking into account the learning for its maintenance.…”
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Development and Validation of a Routine Electronic Health Record-Based Delirium Prediction Model for Surgical Patients Without Dementia: Retrospective Case-Control Study by Emma Holler, Christina Ludema, Zina Ben Miled, Molly Rosenberg, Corey Kalbaugh, Malaz Boustani, Sanjay Mohanty

“…ObjectiveThis study aimed to develop and externally validate a machine learning-based prediction model for POD using routine electronic health record (EHR) data. …”
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Improving the Detection, Assessment, Management and Prevention of Delirium in Hospices (the DAMPen-D study): protocol for a co-design and feasibility study of a flexible and scalab... by Najma Siddiqi, Chao Huang, Maureen Twiddy, Miriam Johnson, Margaret Ogden, Kathryn Sartain, Imogen Featherstone, Jason Boland, Mark Pearson, Catriona Jackson, Gillian Jackson

“…The primary objective of this study is to demonstrate the feasibility of an implementation strategy (designed to help deliver good practice delirium guidelines), participant recruitment and data collection.Methods and analysis Three work packages in three hospices in the UK with public involvement in codesign, study management and stakeholder groups: (1) experience-based codesign to adapt an existing theoretically-informed implementation strategy (Creating Learning Environments for Compassionate Care (CLECC)) to implement delirium guidelines in hospices; (2) feasibility study to explore ability to collect demographic, diagnostic and delirium management data from clinical records (n=300), explanatory process data (number of staff engaged in CLECC activities and reasons for non-engagement) and cost data (staff and volunteer hours and pay-grades engaged in implementation activities) and (3) realist process evaluation to assess the acceptability and flexibility of the implementation strategy (preimplementation and postimplementation surveys with hospice staff and management, n=30 at each time point; interviews with hospice staff and management, n=15). …”
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Reflexive Methods of Knowledge in Educational Activities: Phenomenological Hermeneutics by T. N. Korneenko

“…Knowledge is one of the most important human needs. Today, lifelong learning and self-education individual skills are of paramount importance for each representative of the society in relation to the world trends of a post-industrial era: economic domination in the innovative sector, progressive increase of intensity of information flows and rates of distribution of high technologies, rapid development of science and industry of knowledge, quickly changing and becoming tougher requirements to professionalism, qualification and creativity of experts irrespective of the sphere of employment. …”
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Management of acute bacterial meningitis in a limited resource setting: an Egyptian consensus model by Samy Zaky, Mohamed Elbadry, Maysaa A. Saeed, Hanaa Fathelbab, Fatma Abdelsalam, Mohammed Gamal Abdel-Hamid, Alshaimaa Eid, Asmaa Bakr, Amira Maher, Mona Mohammed Abdelrahman, Mohamed A. Metwally, Mahmoud Saad Berengy, Enaam Ali AlMowafy, Hassan Goabar, Amin Abdel Baki, Ahmed Corie, Osama Hammad, Entesar Elsharkawy, Ahmed Saad, Fatma Ali-Eldin, Ahmed Mahdy, Ramadan Zaky, Reham Hammad, Gamal Essmat

“…Those who do recover, especially if there was delayed appropriate intervention, can have permanent disabilities, such as brain damage, hearing loss, and learning disabilities. Rapid intervention in such cases is mandatory, which is not easy in countries with limited income due to weak capabilities and resources. …”
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Exploring policy processes against microbial threats in Iran: a qualitative policy analysis by Amirhossein Takian, Ali Akbari Sari, Masud Yunesian, Azam Raoofi

“…Barriers to effective M&E included inadequate data access, limited information-sharing and inefficiencies in the M&E system.Conclusions Iran needs to prioritise infectious diseases, invest in preventive measures, improve governance and coordination, strengthen health system capacity, enhance M&E and so on, to combat microbial threats effectively. Learning from successful experiences of other countries can help Iran develop more effective strategies to address microbial threats and strengthen global public health in the country.…”
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ARTIFICIAL INTELLIGENCE TOOLS IN TEACHING SOCIAL AND HUMANITARIAN DISCIPLINES by Anna Kyrpa, Olena Stepanenko, Viktoriia Zinchenko, Tetiana Datsiuk, Iryna Karpan, Neonila Tilniak

“…This encourages the evaluation and development of new methods that provide a personalized approach to teaching and learning, including integration of artificial intelligence (AI) tools that can revolutionize education. …”
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