From small to tall: breed-varied household pet dogs can be trained to detect Parkinson’s Disease by Lisa Holt, Samuel V. Johnston

“…Study findings support the application of companion dogs, trained with force-free, reward-based methodologies, for the detection of PD-positive and PD-negative samples under controlled conditions.…”
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A plasma 9-microRNA signature for lung cancer early detection: a multicenter analysis by Elisa Dama, Tommaso Colangelo, Roberto Cuttano, Rafal Dziadziuszko, Thomas Dandekar, Piotr Widlak, Witold Rzyman, Giulia Veronesi, Fabrizio Bianchi

“…The proposed panel of 9 circulating miRNAs provides a robust and precise diagnostic tool to substantially advance the effectiveness of the LD-CT screening program.…”
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Integrons Detection in Antimicrobial resistance Escherichia coli Isolated from Clinical and Environmental Sources in Basrah Province by Hussain Abdulkaliq, Rasha Othman

“…Furthermore, we used a specific primers to detect the presence of integrons in AMR Escherichia coli. …”
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Cross-Modal Weakly Supervised RGB-D Salient Object Detection with a Focus on Filamentary Structures by Yifan Ding, Weiwei Chen, Guomin Zhang, Zhaoming Feng, Xuan Li

“…Current weakly supervised salient object detection (SOD) methods for RGB-D images mostly rely on image-level labels and sparse annotations, which makes it difficult to completely contour object boundaries in complex scenes, especially when detecting objects with filamentary structures. …”
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BreastCNet: Breast Cancer Detection, Classification, and Localization Convolutional Neural Network With Advanced Optimization Techniques by Hassan Mahichi, Vahid Ghods, Mohammad Karim Sohrabi, Arash Sabbaghi

“…Breast cancer remains a significant global health issue, primarily affecting females and requiring advanced detection methods to improve patient outcomes. While computer-aided diagnostic methods have progressed, limitations in accuracy persist. …”
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Meta-Analysis of Abbreviated MRI Scanning Reveals a High Specificity and Sensitivity in Detecting Breast Cancer by Bei Zhou, Weiguang He, Jasmine Kaur, Qingxia Cai, Audesh Bhat, Qiang Liu

“…Various diagnostic tools for early diagnosis and tumor progression detection have helped patients receive precise and timely treatment. …”
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A Welding Defect Detection Model Based on Hybrid-Enhanced Multi-Granularity Spatiotemporal Representation Learning by Chenbo Shi, Shaojia Yan, Lei Wang, Changsheng Zhu, Yue Yu, Xiangteng Zang, Aiping Liu, Chun Zhang, Xiaobing Feng

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Early Detection of Patients With Mild Cognitive Impairment Through EEG-SSVEP-Based Machine Learning Model by Dohyun Kim, Jinseok Park, Hojin Choi, Hokyoung Ryu, Martin Loeser, Kyoungwon Seo

“…Mild cognitive impairment (MCI) is a transitional stage from normal aging to Alzheimer’s disease (AD). Early detection of MCI is essential, as it offers a last opportunity for interventions to slow or prevent progression to AD. …”
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MSLI-Net: retinal disease detection network based on multi-segment localization and multi-scale interaction by Zhenjia Qi, Jin Hong, Jilan Cheng, Guoli Long, Hanyu Wang, Siyue Li, Shuangliang Cao

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Detecting the Helicobacter pylori 16S rRNA Gene in Dyspepsia Patients Using Real-Time PCR by Rike Syahniar, Mardiastuti H Wahid, Ari Fahrial Syam, Andi Yasmon

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Optimizing an automated sleep detection algorithm using wrist-worn accelerometer data for individuals with chronic pain. by Louis Faust, Emma Fortune, Omid Jahanian, Sey Oloyede, Clifford Trouard, Suzanne Dixon, Erica Torres, Chris Sletten, Paul Scholten

“…<h4>Objective</h4>To optimize a wrist-worn accelerometer-based, automated sleep detection methodology for chronic pain populations.…”
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Auditory Steady-State Responses for Detecting Mild Hearing Loss in Babies, Infants, and Children: Literature Review by Mariana Ferreira Pires Martins, Caroline Donadon, Piotr Henryk Skarzynski, Ana Júlia Tashiro de Souza, Adriana Neves de Andrade, Daniela Gil, Milaine Dominici Sanfins

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From Pixels to Diagnosis: Early Detection of Diabetic Retinopathy Using Optical Images and Deep Neural Networks by Amira J. Zaylaa, Sylva Kourtian

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Detecting the Helicobacter pylori 16S rRNA Gene in Dyspepsia Patients Using Real-Time PCR by Rike Syahniar, Mardiastuti H Wahid, Ari Fahrial Syam, Andi Yasmon

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Multimodal diagnostic tools and advanced data models for detection of prodromal Parkinson’s disease: a scoping review by Ibrahim Serag, Ahmed Y. Azzam, Amr K. Hassan, Rehab Adel Diab, Mohamed Diab, Mahmoud Tarek Hefnawy, Mohamed Ahmed Ali, Ahmed Negida

“…Abstract Background Parkinson’s Disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons in the substantia nigra pars compacta. …”
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Detection of focal source and arrhythmogenic substrate from body surface potentials to guide atrial fibrillation ablation. by Yingjing Feng, Caroline H Roney, Jason D Bayer, Steven A Niederer, Mélèze Hocini, Edward J Vigmond

“…On pre-operative BSPMs of 52 paroxysmal AF patients, patients classified with initiator-type FS on a single atrium resulted in improved two-to-three-year AF-free likelihoods (p-value < 0.01, logrank tests). Detection of FS and arrhythmogenic substrate can be performed from ECGs and BSPMs, enabling non-invasive mapping towards mechanism-targeted AF treatment, and malignant ectopic beat detection with likely AF progression.…”
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An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model by G. Abirami, S. Nagadevi, J. D. Dorathi Jayaseeli, T. Prabhakara Rao, R S M Lakshmi Patibandla, Rajanikanth Aluvalu, K Srihari

“…Abstract Underwater object detection (UOD) is essential in maritime environmental study and underwater species protection. …”
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Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection by Burhanettin Ozdemir, Emrah Aslan, Ishak Pacal

“…Early diagnosis of this highly fatal and prevalent disease can significantly improve survival rates and prevent its progression. Computed tomography (CT) is the gold standard imaging modality for lung cancer diagnosis, offering critical insights into the assessment of lung nodules. …”
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Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment by Eaman Alharbi, Ghadah Alsulami, Sarah Aljohani, Waad Alharbi, Somayah Albaradei

“…Our study explores the use of the MoViNet video classification model to detect littering activities by vehicles and pedestrians, alongside the YOLOv8 object detection model to identify individuals responsible through facial recognition and license plate detection. …”
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A Methodological and Structural Review of Parkinson&#x2019;s Disease Detection Across Diverse Data Modalities by Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

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