Serum detection of blood brain barrier injury in subjects with a history of stroke and transient ischemic attack by Scott French, Juan Arias, MD, Ikeoluwapo Bolakale-Rufai, MD, Summan Zahra, MD, Kaneez Zahra Rubab Khakwani, MD, Edward J. Bedrick, PhD, Geidy E. Serrano, PhD, Thomas G. Beach, MD, PhD, Eric Reiman, MD, Craig Weinkauf, MD, PhD

“…Clinical Relevance: Our data demonstrate the utility of serum PDGFRẞ, a putative biomarker of BBB integrity in the setting of stroke and TIA (CVA). …”
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Investigation into fatigue micro-crack identification of steel bridge decks based on acoustic emission detection technology. by Li Jiaqing, Song Fei, Xiao Zidong, Zhu Longji, Chen Lan, Wei Zheliang

“…Specifically, the integration of K-SVD with CNN achieved recognition accuracies of 93.64% and 92.56% for AE signals from damaged areas, and 95.32% and 94.27% for undamaged signals, on training and test sets, respectively. This approach demonstrates strong engineering potential by providing a scalable solution for real-time, accurate crack detection in bridge inspections. …”
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A Comparative Study of Machine Learning Algorithms for Intrusion Detection Systems using the NSL-KDD Dataset by Rulyansyah Permata Putra, Amarudin Amarudin

“…The research methodology includes the collection of the NSL-KDD dataset, followed by data transformation, cleaning, normalization, and partitioning into training and testing sets. …”
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Reimagining Cryptogenic Stroke Care: Collaborative Care and Inpatient Insertable Cardiac Monitors for Detection of Atrial Fibrillation by Nabeel A. Herial, Daniel R. Frisch, Elan Miller, Priyadarshee Patel, Alfredo Munoz, Melissa Warren, Jane Khalife, Shyam Majmundar, Nathan Farkas, Shaista Alam, Robin Dharia, Diana Tzeng, Behzad B. Pavri, Reginald T. Ho, Arnold Greenspon, Rodney Bell, Pascal Jabbour, Robert Rosenwasser

“…Reviewed data included the number of ICMs, implantation trend, inpatient versus outpatient setting, time to ICM implantation, inpatient workflow, including defined roles of team members, and AF detection rate. …”
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A Comprehensive Framework for Parkinson's Disease Detection Using Spiral Drawings and Advanced Machine Learning Techniques by Mohamed J. Saadh, Waleed K. Abdulsahib, Hardik Doshi, Anupam Yadav, J. Gowrishankar, Mayank Kundlas, Nargiza Mansurova, Kamal Kant Joshi, Fadhil Feez Sead, Bagher Farhood

“…It integrates advanced machine learning techniques to improve diagnostic accuracy and practical application in clinical settings. Materials and Methods Spiral drawing data were collected from a comprehensive dataset, including samples from both Parkinson's patients and healthy individuals. …”
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Stroke Detection in Brain CT Images Using Convolutional Neural Networks: Model Development, Optimization and Interpretability by Hassan Abdi, Mian Usman Sattar, Raza Hasan, Vishal Dattana, Salman Mahmood

“…The model is trained on a dataset consisting of 2501 images, including both normal and stroke cases, and employs a series of preprocessing steps, including resizing, normalization, data augmentation, and splitting into training, validation, and test sets. …”
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A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches by Matias Rolando, Victor Raggio, Hugo Naya, Lucia Spangenberg, Leticia Cagnina

“…Leveraging the MIMIC-III database and additional medical notes from different sources such as in-house data, PubMed and chatGPT, we propose a labeled dataset for early RD detection in hospital settings. …”
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Leveraging the Power of Zero-Shot Learning for Malware Detection Using Application Programming Interface Call Sequences by P. Meena, K. P. Rama Prabha

“…Supervised deep learning methods have proven their usefulness in recognizing exploitative code patterns in known big data sets by crafting super complicated systems. …”
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Advances in sensor technologies for breast cancer detection: a comprehensive review of imaging and non-imaging approaches by Emmy Bhatti, Prabhpreet Kaur

“…Modalities imaging-based types include mammography, ultrasound, and MRI, which are still the gold standard for detection because of their good sensitivity. Other technologies that are not imaging-based include microwave, radiofrequency, and electrical impedance tomography, which are more promising in resource-deprived settings. …”
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StyleGraph: A Heterogeneous Graph Neural Framework for Stylistic and Semantic Rumor Detection on Social Media by Haider Jaffar, Ali Mohades, Mohammad Ebrahim Shiri

“…Identifying and controlling misinformation circulated on social media is known as rumor detection. The growing prevalence of deceptive content presents a significant challenge that necessitates advanced detection techniques, beyond classical machine learning. …”
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FinGraphFL: Financial Graph-Based Federated Learning for Enhanced Credit Card Fraud Detection by Zhenyu Xia, Suvash C. Saha

“…FinGraphFL utilizes Graph Attention Networks to analyze dynamic relationships between daily credit card transaction records, enhancing its ability to detect fraudulent activities. With the addition of differential privacy, the model allows multiple financial institutions to collaborate to refine the detection model without sharing sensitive data, thus improving adaptability and accuracy. …”
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Integrating Graph Neural Networks and Large Language Models for Stance Detection via Heterogeneous Stance Networks by Xinyi Chen, Bo Liu, Huaping Hu, Yiqing Cai, Mengmeng Guo, Xingkong Ma

“…In real-world scenarios, stance is frequently conveyed through references to related entities, events, or contextual implications, making stance detection particularly challenging. To tackle this challenge, we propose a novel framework that leverages large language models to construct a heterogeneous stance network from textual data. …”
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Single-Step Sampling Approach for Unsupervised Anomaly Detection of Brain MRI Using Denoising Diffusion Models by Mohammed Z. Damudi, Anita S. Kini

“…They have shown to excel in anomaly detection by modeling healthy reference data for scoring anomalies. …”
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Fully automated deep learning framework for detection and classification of impacted mandibular third molars in panoramic radiographs by Veerabhadrappa Suresh Kandagal, Vengusamy Sivakumar, Padarha Shreyansh, Iyer Kiran, Yadav Seema

“…An oral radiologist validated the annotations, and the data were split into training, validation, and testing sets. …”
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A Changepoint Detection-Based General Methodology for Robust Signal Processing: An Application to Understand Preeclampsia’s Mechanisms by Patricio Cumsille, Felipe Troncoso, Hermes Sandoval, Jesenia Acurio, Carlos Escudero

“…The main innovation of our methodology is a highly efficient automatic data processing system consisting of modular programming components. …”
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Efficient Detection of Mind Wandering During Reading Aloud Using Blinks, Pitch Frequency, and Reading Rate by Amir Rabinovitch, Eden Ben Baruch, Maor Siton, Nuphar Avital, Menahem Yeari, Dror Malka

“…This method offers a practical, non-intrusive solution for detecting mind wandering through video and audio data, making it suitable for educational settings. …”
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Opportunistic Screening for Enhanced TB Case Detection among Inpatients in a Tertiary Care Hospital, Bengaluru by B N Sharath, M D Sangeetha, P K Sreenath Menon, Gokul Santhosh, H S Darshan, R Manukrishnan, R Nandhini, Susheelkumar S Katakdhond, Aparna S. Nair, M Indu, Sushma M Spuriti, Rakesh Mudhol

“…In India, the National Tuberculosis Elimination Programme (NTEP) has been working to combat TB, but eliminating the disease remains difficult. To improve TB case detection, a feasibility study took place at a tertiary care hospital in Bengaluru, India. …”
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Rapid bacterial identification and resistance detection using a low complexity molecular diagnostic platform in Zimbabwe. by Tinashe Mwaturura, Ioana D Olaru, Gwendoline Chimhini, Mutsa Bwakura-Dangarembizi, Marcia Mangiza, Simbarashe Chimhuya, Belinda Sado, Jackie Katunga, Andrew Tarupiwa, Agnes Juru, Tapfumaneyi Mashe, Christopher Pasi, Veronicah Chuchu, Seyi Gansallo, Birgitta Gleeson, Felicity Fitzgerald, Cecilia Ferreyra, Katharina Kranzer

“…<h4>Background</h4>Sepsis is a major cause of mortality in low-resource settings. Effective microbiological culture services are a bottleneck in diagnosis and surveillance.…”
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First Detection of Gammacoronavirus in a Striped Dolphin (<i>Stenella coeruleoalba</i>) from the Adriatic Sea by Matteo Legnardi, Giovanni Franzo, Mattia Cecchinato, Haiyang Si, Riccardo Baston, Sandro Mazzariol, Cinzia Centelleghe, Guido Pietroluongo, Draško Holcer, Jure Miočić-Stošić, Jeroen Hofs, Maša Frleta-Valić, Claudia Maria Tucciarone

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DISCERN: deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection by Fabian Hausmann, Can Ergen, Robin Khatri, Matteo Marouf, Sonja Hänzelmann, Nicola Gagliani, Samuel Huber, Pierre Machart, Stefan Bonn

“…Conclusions Thus, DISCERN is a flexible tool for reconstructing missing single-cell gene expression using a reference dataset and can easily be applied to a variety of data sets yielding novel insights, e.g., into disease mechanisms.…”
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