Uncovering biomarkers for chronic toxoplasmosis detection highlights alternative pathways shaping parasite dormancy by Marie G Robert, Christopher Swale, Belen Pachano, Léa Dépéry, Valeria Bellini, Céline Dard, Dominique Cannella, Charlotte Corrao, Lucid Belmudes, Yohann Couté, Alexandre Bougdour, Hervé Pelloux, Emmanuelle Chapey, Martine Wallon, Marie-Pierre Brenier-Pinchart, Mohamed-Ali Hakimi

“…The chronic phase, characterized by dormant, cyst-forming bradyzoites, is central to disease progression but is poorly understood due to the lack of serological tests to detect bradyzoite-specific antigens. …”
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Self-driving microscopy detects the onset of protein aggregation and enables intelligent Brillouin imaging by Khalid A. Ibrahim, Camille Cathala, Carlo Bevilacqua, Lely Feletti, Robert Prevedel, Hilal A. Lashuel, Aleksandra Radenovic

“…Understanding its biomechanics is crucial for unraveling its role in disease progression and cellular toxicity. Brillouin microscopy offers unique advantages for studying biomechanical properties, yet is limited by slow imaging speed, complicating its use for rapid and dynamic processes like protein aggregation. …”
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Vision transformers for automated detection of diabetic peripheral neuropathy in corneal confocal microscopy images by Chaima Ben Rabah, Ioannis N. Petropoulos, Rayaz A. Malik, Ahmed Serag

“…Corneal Confocal Microscopy (CCM) facilitates the imaging of corneal nerves to detect early and progressive nerve damage in DPN. …”
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Detecting Clinical Risk Shift Through log–logistic Hazard Change-Point Model by Shobhana Selvaraj Nadar, Vasudha Upadhyay, Savitri Joshi

“…In survival analysis, change–point detection focuses on identifying alterations in the distribution of time–to–event data, which may be subject to censoring or truncation. …”
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Advancements in Machine Learning (ML): Transforming the Future of Blood Cancer Detection and Outcome Prediction by Wiebke Rösler, Michael Roiss, Corinne Widmer

“…DL has shown the potential to outperform ML methods in predicting patient survival rates and discovering new prognostic and diagnostic biomarkers. As research progresses, ML and DL technologies hold immense promise to significantly enhance our ability to predict the diagnosis of hematologic malignancies, leading to earlier detection and more personalized and effective treatment strategies. …”
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A transformer based multi task learning approach to multimodal hate speech detection by Prashant Kapil, Asif Ekbal

“…This line of research has been progressed in this work by building a multi-task learning-based multimodal system for detecting hateful memes by training four hateful meme data sets concurrently. …”
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Point-Level Fusion and Channel Attention for 3D Object Detection in Autonomous Driving by Juntao Shen, Zheng Fang, Jin Huang

“…As autonomous driving technology progresses, LiDAR-based 3D object detection has emerged as a fundamental element of environmental perception systems. …”
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Early Detection of Diabetic Nephropathy Based on Urinary and Serum Biomarkers: An Updated Systematic Review by Farzaneh Karimi, Mostafa Moazamfard, Rasul Taghvaeefar, Shahla Sohrabipour, Aghdas Dehghani, Reza Azizi, Negar Dinarvand

“…Diabetic nephropathy (DN) is a leading cause of chronic kidney disease (CKD) and end-stage renal disease worldwide, particularly among individuals with type 2 diabetes mellitus (T2DM). Early detection and intervention are crucial in slowing the progression of DN and improving patient outcomes. …”
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Clinical Applicability and Cross-Dataset Validation of Machine Learning Models for Binary Glaucoma Detection by David Remyes, Daniel Nasef, Sarah Remyes, Joseph Tawfellos, Michael Sher, Demarcus Nasef, Milan Toma

“…Glaucoma is a progressive optic nerve disease and a leading cause of irreversible blindness worldwide. …”
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In Situ Electrically Resettable Field‐Effect Transistor Biosensors for Continuous and Multiplexed Neurotransmitter Detection by Bo Xiao, Tingxian Li, Xianmao Cao, Yang Zhang, Jianping He, Mengmeng Xiao, Zhiyong Zhang

“…Abstract Accurate, real‐time detection of neurotransmitters is crucial for elucidating the mechanisms of brain function and tracking the progression of neurological diseases. …”
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Low resolution remote sensing object detection with fine grained enhancement and swin transformer by Zhijing Xu, Xin Wang, Kan Huang, Ren Chen

“…Abstract Object detection in remote sensing images is a highly complex and challenging task. …”
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P59 | IMMUNOHISTOCHEMISTRY ANALYSIS TO DETECT A MOLECULAR SIGNATURE IN INTERVERTEBRAL DISC DEGENERATION

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Pedestrian-Crossing Detection Enhanced by CyclicGAN-Based Loop Learning and Automatic Labeling by Kuan-Chieh Wang, Chao-Li Meng, Chyi-Ren Dow, Bonnie Lu

“…Through this iterative process, the model progressively refines its ability to simulate and recognize diverse contextual features, thereby enhancing detection performance under varying environmental conditions. …”
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Daytime Equatorial Spread F‐Like Irregularities Detected by HF Doppler Receiver and Digisonde by B. Olugbon, E. O. Oyeyemi, A. Kascheyev, A. B. Rabiu, A. A. Obafaye, O. O. Odeyemi, A. O. Adewale

“…Close inspection of the ionograms from ILR during this interval (1500–1800 UT) showed the occurrence of small‐scale spreading in the F‐layer trace which varied in altitude as the disturbance progressed. Computation of the linear growth rate of the collisional Rayleigh‐Taylor instability showed that the plasma instability was seeded by a traveling ionospheric disturbance (TID). …”
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WALLABY Pilot Survey and ASymba: Comparing H i Detection Asymmetries to the SIMBA Simulation by Mathieu Perron-Cormier, Nathan Deg, Kristine Spekkens, Mark L. A. Richardson, Marcin Glowacki, Kyle A. Oman, Marc A. W. Verheijen, Nadine A. N. Hank, Sarah Blyth, Helga Dénes, Jonghwan Rhee, Ahmed Elagali, Austin Xiaofan Shen, Wasim Raja, Karen Lee-Waddell, Luca Cortese, Barbara Catinella, Tobias Westmeier

“…We compute 1D and 3D asymmetries for spatially resolved WALLABY Pilot Survey detections, and we find that the highest 3D asymmetries ( A _3D ≳ 0.5) stem from interacting systems or detections with strong bridges or tails. …”
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Research on Breast Cancer Detection Methods Based on ODMV-MulDyHead-YOLO by Yanhong Zhang, Pei Li, Yihua Lan, Xiao Jia, Yingjie Lv

“…Early screening and timely treatment can effectively control breast cancer progression and significantly reduce mortality. In this paper, we proposed a method of breast cancer detection based on full-dimensional dynamic convolution and multiple attention mechanism to solve the problems of missing detection and low detection accuracy caused by breast tumor occlusion by breast muscle, poor contrast between tumor and surrounding glandular tissue and indistinct features of small tumor. …”
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DSF-YOLO for weld defect detection in X-ray images with dynamic staged fusion by Meng Zhang, Yanzhu Hu, Binbin Xu, Lisha Luo, Song Wang

“…Abstract Weld defect detection poses significant challenges including ambiguous boundaries, diverse defect shapes, and the requirement for precise localization. …”
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AI-Assisted MRI Analysis for Multiple Sclerosis: Lesion Detection and Brain Atrophy Assessment by Ioana-Andreea CÎRLIG, Ioana-Andreea GHEONEA

“… Introduction: Multiple sclerosis (MS) is a chronic autoimmune disorder that leads to neurodegeneration and progressive neurological impairment. A key imaging feature of MS is the presence of demyelinating brain lesions, which vary in distribution and size. …”
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LEAD-YOLO: A Lightweight and Accurate Network for Small Object Detection in Autonomous Driving by Yunchuan Yang, Shubin Yang, Qiqing Chan

“…The accurate detection of small objects remains a critical challenge in autonomous driving systems, where improving detection performance typically comes at the cost of increased model complexity, conflicting with the lightweight requirements of edge deployment. …”
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Parkinson’s disease detection using inceptionV3: A Deep learning approach by Pallavi M. Shanthappa, Madhwesh Bayari, G.B. Abhilash, K.V. Gokul, P.J. Ashish

“…Parkinson's disease (PD) is a neurodegenerative condition that progressively affects motor function and causes tremors, rigidity, and bradykinesia. …”
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