Smart medical report: efficient detection of common and rare diseases on common blood tests by Ákos Németh, Ákos Németh, Gábor Tóth, Péter Fülöp, György Paragh, Bíborka Nádró, Zsolt Karányi, György Paragh, Zsolt Horváth, Zsolt Csernák, Zsolt Csernák, Erzsébet Pintér, Erzsébet Pintér, Dániel Sándor, Dániel Sándor, Gábor Bagyó, István Édes, János Kappelmayer, Mariann Harangi, Bálint Daróczy, Bálint Daróczy

“…Our AI-driven automated diagnostic tool can significantly enhance clinical practice by recognizing patterns in common and rare diseases, including malignancies. …”
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Gait-Based AI Models for Detecting Sarcopenia and Cognitive Decline Using Sensor Fusion by Rocío Aznar-Gimeno, Jose Luis Perez-Lasierra, Pablo Pérez-Lázaro, Irene Bosque-López, Marina Azpíroz-Puente, Pilar Salvo-Ibáñez, Martin Morita-Hernandez, Ana Caren Hernández-Ruiz, Antonio Gómez-Bernal, María de la Vega Rodrigalvarez-Chamarro, José-Víctor Alfaro-Santafé, Rafael del Hoyo-Alonso, Javier Alfaro-Santafé

“…Participants were classified as having sarcopenia if they met the criteria established by the European Working Group on Sarcopenia in Older People and as having CD if their score in the Mini-Mental State Examination was ≤24 points. Gait patterns were assessed at usual walking speeds using sensors attached to the feet and lumbar region, and CV data were captured using a camera. …”
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Genotypic Characterization of Human Respiratory Syncytial Viruses Detected in Mexico Between 2021 and 2024 by Nadia Martínez-Marrero, Juan Carlos Muñoz-Escalante, Rosa Maria Wong-Chew, Pedro Torres-González, Miguel Leonardo García-León, Patricia Bautista-Carbajal, Pedro Antonio Martínez-Arce, María del Carmen Espinosa-Sotero, Verónica Tabla-Orozco, Fabian Rojas-Larios, Susana Juárez-Tobías, Ana María González-Ortiz, Ángel Gabriel Alpuche-Solís, Daniel E. Noyola

“…The COVID-19 pandemic and the non-pharmacological interventions to mitigate it resulted in significant changes in HRSV epidemiology and seasonality patterns. Worldwide, there was a considerable reduction in the number of HRSV infections during that period, and the impact of those changes on genotype distribution is still not fully understood. …”
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Detection and mapping of Antarctic lichen using drones, multispectral cameras, and supervised deep learning by Narmilan Amarasingam, Juan Sandino, Ashray Doshi, Diana King, Elka Blackman, Johan Barthelemy, Barbara Bollard, Sharon A. Robinson, Felipe Gonzalez

“…The difficulty of accurately detecting lichens in Antarctic landscapes, due to their fine-scale spatial patterns and low spectral contrast, drives the need for high-resolution drone-based remote sensing imagery to develop and validate robust mapping methods. …”
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Integrated neural network framework for multi-object detection and recognition using UAV imagery by Mohammed Alshehri, Tingting Xue, Tingting Xue, Ghulam Mujtaba, Yahya AlQahtani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…LSTM networks are integrated to predict vehicle trajectories based on temporal patterns, and a combination of DenseNet and SuperPoint is utilized for robust feature extraction. …”
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Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…The algorithm aims to improve the stability in tracking multiple objects with similar appearance features and motion patterns, while maintaining stability in normal cases. …”
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Dielectrophoresis-Enhanced Microfluidic Device with Membrane Filter for Efficient Microparticle Concentration and Optical Detection by Young-Ho Nam, Seung-Ki Lee, Jae-Hyoung Park

“…The device features transparent indium tin oxide (ITO) top electrodes on a glass substrate and gold (Au) bottom electrodes patterned on a small area of the membrane filter, with spacers to control the gaps between the electrodes. …”
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Development and Optimization of Micro‐Nanotopographical Platforms for Surface Enhanced Raman Scattering Biomolecular Detection by David Femi Odetade, Jonathan J. S. Rickard, Pola Goldberg Oppenheimer

“…This enables the engineering of platforms with tailor‐enhanced signals by changing the arrangement of micro‐nano patterned coaxial arrays. The fabricated SERS substrates are validated by detecting traumatic brain injury biomarkers, effectively yielding the characteristic fingerprint spectra of each neuro‐molecule. …”
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A hybrid approach using support vector machine rule-based system: detecting cyber threats in internet of things by M. Wasim Abbas Ashraf, Arvind R. Singh, A. Pandian, Rajkumar Singh Rathore, Mohit Bajaj, Ievgen Zaitsev

“…Identifying known attack signatures and patterns using rule-based approaches improves detection efficiency without retraining by adapting pre-trained models to new IoT contexts. …”
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Smart Grid Intrusion Detection for IEC 60870-5-104 With Feature Optimization, Privacy Protection, and Honeypot-Firewall Integration by Pedamallu Sai Mrudula, Rayappa David Amar Raj, Archana Pallakonda, Yanamala Rama Muni Reddy, K. Krishna Prakasha, V. Anandkumar

“…Anomaly detection is strengthened through Isolation Forests, time-series analysis, and Fourier-based burst detection while dynamically adapting to concept drift adaptation with Kullback-Leibler divergence. …”
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An Automated Method Inspired by Taxonomic Classification for Distinguishing Chilean Pelagic Fish Species by Vincenzo Caro Fuentes, Danny Luarte, Ariel Torres, Jorge E. Pezoa, Sebastian E. Godoy, Sergio N. Torres, Mauricio A. Urbina

“…Our method includes taxonomic analysis, exploiting geometric characteristics such as distances and angles between key body parts, segmenting patterned areas, and extracting texture features. Furthermore, we developed hierarchical classification models that employ a dichotomous key based on these key morphological traits to assess specific fish features such as size, shape, mouth orientation, and color patterns, simulating taxonomic classification. …”
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Biodiversity and pedodiversity: a matter of coincidence? Biodiversidad y edafodiversidad: cuestión de coincidencia? Biodiversidade ou pedodiversidade: questão de coincidência? by Dilier Olivera, Juan José Ibáñez Martí, Asunción Saldaña

“…Remarkably, the spatial patterns of pedogeographic units detected by pedologists are similar to those reported by biologists for a plethora of ecosystems.…”
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Detection of Salmonella spp. Related Co-Infections Among Children with Diarrheal Diseases in Guangzhou, China by Mai Q, Luo Y, Ye R, Jiang Y, Qin Y, Guo J, Lai W, Wu Y, Luo M

“…This study aimed to assess the prevalence of Salmonella infection and its co-infection patterns in relation to clinical symptoms.Methods: A total of 430 stool samples of children with diarrheal diseases were collected from Guangdong Women and Children’s Hospital during January 2022 to December 2023 and used for detection. …”
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Weakly Supervised Image Segmentation for Detecting Defects From Scanning Electron Microscopy Images in Semiconductor by Younghwan Lee, Seoung Bum Kim

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Epileptic seizure detection in EEG signals via an enhanced hybrid CNN with an integrated attention mechanism by Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul

“…Nevertheless, the intricate characteristics of electroencephalography (EEG) signals, noise, and the want for real-time analysis require enhancement in the creation of dependable detection approaches. Despite advances in machine learning and deep learning, capturing the intricate spatial and temporal patterns in EEG data remains challenging. …”
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Data acquisition system for OLED defect detection and augmentation of system data through diffusion model by Byungjoon Kim, Yongduek Seo

“…In this paper, we investigate the feasibility of using an image generation model to generate pattern images for OLED panel defect detection and apply it for data augmentation. …”
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Implied object direction from eye location enhances animacy ratings but not detection of chasing behavior by Takahiro Kawabe

“…Although the gaze-implied object direction did not significantly influence detection sensitivity, the spatial location of the eye pattern within the triangular shape continued to weakly modulate participants’ performance. …”
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Machine learning techniques in ultrasonics-based defect detection and material characterization: A comprehensive review by Boris I, Kseniia Barashok, Yongjoon Choi, Yeongil Choi, Mohammed Aslam, Jaesun Lee

“…The advent of machine learning (ML) has revolutionized ultrasonic data analysis by utilizing advanced data mining and pattern recognition capabilities to decode intricate signal patterns. …”
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Comparing Melanoma Invasiveness in Dermatologist- versus Patient-Detected Lesions: A Retrospective Chart Review by Cindy L. Lamerson, Kristina Eaton, Joel L. Sax, Mohammed Kashani-Sabet

“…This study examined whether patient-identified melanomas were more advanced than dermatologist-identified tumors at routine clinic visits, and whether a personal or family history of skin cancer was associated with patterns of detection. A retrospective chart review was performed on melanoma patients (N=201) in a private dermatology clinic. …”
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Optimal Skin Prick Test Panel for Detecting Respiratory Allergens in Children: A Retrospective Study by Aykut Eşki, Gökçen Kartal Öztürk, Figen Gülen, Esen Demir

“…This study aims to identify the sensitization pattern of children in different age groups and to define the minimum number and type of allergen extracts in an SPT to detect a sensitized child.Materials and Methods:This retrospective study was conducted in the Outpatient Clinic of the Pediatric Allergy, Immunology, and Pulmonology Unit of a tertiary Children’s Hospital from October 2019 to December 2020. …”
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