Recent Advances in Aptamer-Based Microfluidic Biosensors for the Isolation, Signal Amplification and Detection of Exosomes by Jessica Hu, Dan Gao

“…Exosomes carry diverse tumor-associated molecular information that can reflect real-time tumor progression, making them a promising tool for liquid biopsy. …”
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Significance of ultrasound and ultrasound-guided fine-needle aspiration for the detection of laryngeal occult metastases by Čvorović Ljiljana, Milutinović Zoran, Štrbac Mile, Pavićević Ljubomir, Račić Alek J.

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Estimated Disease Progression Trajectory of White Matter Disruption in Unilateral Temporal Lobe Epilepsy: A Data-Driven Machine Learning Approach by Daichi Sone, Noriko Sato, Yoko Shigemoto, Iman Beheshti, Yukio Kimura, Hiroshi Matsuda

“…We used the Subtype and Stage Inference (SuStaIn) program to detect the progression trajectory of FA changes and investigated its association with clinical parameters including onset age, disease duration, drug-responsiveness, and the number of anti-seizure medications (ASMs). …”
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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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Quantifying the Sensitivity of Targeted eDNA Surveys to Improve Detection of Invasive Cane Toads (Rhinella marina) by Ewen K. Lawler, Simon Clulow, Alejandro Trujillo‐González, Paul G. Nevill, Richard P. Duncan

“…Sensitivity is a key consideration in designing monitoring programs because it determines the survey effort (e.g., number of samples per site) required to achieve a given likelihood of detecting a species. …”
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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 proper nouns in indonesian-language translation of the quran using a guided method by Suwanto Raharjo, Retantyo Wardoyo, Agfianto Eko Putra

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Implementation of an IoT-based Threshold Method for a Food Hazardous Substance Detection Tool by Threa Malinda, Irma Salamah, Nurhajar Anugraha

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Electrochemical sensors for the detection of immune checkpoint related proteins and their role in cancer companion diagnostics by Louise Barnaby, Andrew G. Watts, Pedro Estrela

“…Electrochemical sensors are a high sensitivity point of care diagnostic technique that can have the potential to achieve detection of multiple biomarkers at once. The main problem facing this field is improving their sensitivity to be able to detect the incredibly low concentrations of biomarkers found in liquid biopsy samples. …”
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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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A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content by Muhammad Zubair Asghar, Adidah Lajis, Muhammad Mansoor Alam, Mohd Khairil Rahmat, Haidawati Mohamad Nasir, Hussain Ahmad, Mabrook S. Al-Rakhami, Atif Al-Amri, Fahad R. Albogamy

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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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