Antimicrobial resistance: Linking molecular mechanisms to public health impact by Ghazala Muteeb, Raisa Nazir Ahmed Kazi, Mohammad Aatif, Asim Azhar, Mohamed El Oirdi, Mohd Farhan

“…Background: Antimicrobial resistance (AMR) develops into a worldwide health emergency through genetic and biochemical adaptations which enable microorganisms to resist antimicrobial treatment. β-lactamases (blaNDM, blaKPC) and efflux pumps (MexAB-OprM) working with mobile genetic elements facilitate fast proliferation of multidrug-resistant (MDR) and exttreme drug-resistant (XDR) phenotypes thus creating major concerns for healthcare systems and community health as well as the agricultural sector. …”
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Comparative Analysis of Automated vs. Expert-Designed Machine Learning Models in Age-Related Macular Degeneration Detection and Classification by Ceren Durmaz Engin, Ufuk Beşenk, Denizcan Özizmirliler, Mustafa Alper Selver

“…Materials and Methods: Custom models were developed by an artificial intelligence expert using the EfficientNet V2 architecture, while AutoML models were created by an ophthalmologist utilizing LobeAI with transfer learning via ResNet-50 V2. …”
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Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis by Faris S. Alghareb, Balqees Talal Hasan

“…Deep Neural Networks (DNNs) have been widely adopted in several advanced artificial intelligence applications due to their competitive accuracy to the human brain. …”
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Encouraging Safety 4.0 to enhance industrial culture: An extensive study of its technologies, roles, and challenges by Abid Haleem, Mohd Javaid, Ravi Pratap Singh

“…This can be accomplished by adopting Safety 4.0, incorporating advanced digital technologies such as Artificial Intelligence (AI), robotics, blockchain, virtual reality, the Internet of Things (IoT), and more. …”
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Benchmarking Sentence Encoders in Associating Indicators With Sustainable Development Goals and Targets by Ana Gjorgjevikj, Kostadin Mishev, Dimitar Trajanov, Ljupco Kocarev

“…A comprehensive domain-specific benchmarking of a diverse sentence encoder portfolio was performed first, followed by fine-tuning of the best ones on a newly created dataset. Five sets of indicators used at the (sub)national level of governance (around 800 indicators in total) were used for the evaluation. …”
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Developing an Equitable Machine Learning–Based Music Intervention for Older Adults At Risk for Alzheimer Disease: Protocol for Algorithm Development and Validation by Chelsea S Brown, Luna Dziewietin, Virginia Partridge, Jennifer Rae Myers

“…In phase 1, participants (n=1000) will receive 5 randomized songs and complete a survey to understand the sentiment, cultural relevance, and perceived benefit for each song. Brief, researcher-created Likert surveys will be used. In phase 2, survey data will be used to develop ML algorithms in collaboration with the University of Massachusetts Amherst Center for Data Science and Artificial Intelligence. …”
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Association and binding nature of sodium dodecyl sulfate with ofloxacin antibiotic drug in potassium-based electrolyte solutions: a conductometric and UV–Visible spectroscopic inve... by Bulbul Ahmed, Tajmul Hasan, Kamrul Hasan, Javed Masood Khan, Dileep Kumar, Shamim Mahbub, Md Abdul Goni, Md. Anamul Hoque

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Breaking Diagnostic Barriers: Vision Transformers Redefine Monkeypox Detection by Gelan Ayana, Beshatu Debela Wako, So-yun Park, Jude Kong, Sahng Min Han, Soon-Do Yoon, Se-woon Choe

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Chatbots’ Role in Generating Single Best Answer Questions for Undergraduate Medical Student Assessment: Comparative Analysis by Enjy Abouzeid, Rita Wassef, Ayesha Jawwad, Patricia Harris

“…The application of technological innovations, including artificial intelligence (AI), has been tried to address this challenge. …”
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Estimated activity levels in dogs at population scale with linear and causal modeling by Abigail O’Rourke, Richard Haydock, Richard F. Butterwick, Alexander J. German, Aletha Carson, Scott Lyle, Ciaran O’Flynn, Ciaran O’Flynn

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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…Our effort will improve patient care and well-being by creating an anomaly detection system based on machine learning specifically for medical images and providing timely treatments and notifications. …”
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Co-Design of a Health Screening Program Fact Sheet by People Experiencing Homelessness and ChatGPT: Focus Group Study by Nóra Radó, Orsolya Németh, Sándor Békási

“…MethodsSix fact sheet text variants were created by the open-access version of ChatGPT 3.5 for an oral cancer screening program targeting people experiencing homelessness in Budapest, Hungary. …”
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Models and methods for analyzing complex networks and social network structures by Ju. P. Perova, V. P. Grigoriev, D. O. Zhukov

“…Since communication in social networks almost entirely consists of text messages and various publications, almost all relevant studies use textual analysis methods in conjunction with machine learning and artificial intelligence technologies. Of these, convolutional neural networks demonstrated the best results. …”
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Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection by Mahesh Vaijainthymala Krishnamoorthy

“… Abstract BackgroundThe increasing integration of artificial intelligence (AI) systems into critical societal sectors has created an urgent demand for robust privacy-preserving methods. …”
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Satellite imagery, big data, IoT and deep learning techniques for wheat yield prediction in Morocco by Abdelouafi Boukhris, Antari Jilali, Abderrahmane Sadiq

“…The advancement of artificial intelligence techniques, synchronized with satellite imagery, has emerged as a potent approach for forecasting crop yields in modern times. …”
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Implementing Blockchain Technology for Secure Data Transactions in Cloud Computing Environments Challenges and Solutions by Dandu Varalakshmi, N Shirisha, K Suresh, Saidhbi Shaik, V Venkatesh, C F Theresa Cenate

“…As it resolves key issues surrounding multi-cloud adoption and interoperability, it sets the stage for forward-facing developments, including artificial intelligence-enabled security automation and quantum-resilient cloud storage, ultimately creating a more secure and streamlined cloud landscape. …”
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Adjusting on-scene CPR duration based on transport time interval in out-of-hospital cardiac arrest: a nationwide multicenter study by Daseul Kim, Jae Yong Yu, Minha Kim, Gun Tak Lee, Sang Do Shin, Sung Yeon Hwang, Daun Jeong

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Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system by Miriam Angeloni, Davide Rizzi, Simon Schoen, Alessandro Caputo, Francesco Merolla, Arndt Hartmann, Fulvia Ferrazzi, Filippo Fraggetta

“…In both cases, the AP-LIS transmits an HL7 message to the AI-DSS, which processes the message, runs DL model inference, and creates the appropriate visualization style for the employed classification model. …”
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Bind: large-scale biological interaction network discovery through knowledge graph-driven machine learning by Naafey Aamer, Muhammad Nabeel Asim, Aamer Iqbal Bhatti, Andreas Dengel

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Comprehensive transcriptomic analysis integrating bulk and single-cell RNA-seq with machine learning to identify and validate mitochondrial unfolded protein response biomarkers in... by Lu Zhang, Lei Yue, Peng Jia, Peng Jia, Ziqi Cheng, Jiwen Liu

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