circZNF707 promoted glycolysis and tumor progression through miR-668-3p-PFKM axis in NSCLC by Wei Chen, Shuai Fang, Xianqiao Wu, Tianzheng Fang, Ziyuan Chen, Wenmin Su, Yuchao Zhu, Xiaodong Zhao, Chengwei Zhou

“…Finally, tests using Western blotting, RIP, qRT-PCR, and luciferase reporter gene detection and rescue assays revealed the potential mechanism of circZNF707. …”
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A Novel Approach to the Prediction of Alzheimer’s Disease Progression by Leveraging Neural Processes and a Transformer Encoder Model by Emad Al-Anbari, Hossein Karshenas, Bijan Shoushtarian

“…These findings prove the efficacy of the proposed framework in accurately predicting the progression of AD, highlighting its potential for early detection and personalized treatment strategies.…”
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Biomarkers for Predicting the Occurrence and Progression of Atrial Fibrillation: Soluble Suppression of Tumorigenicity 2 Protein and Tissue Inhibitor of Matrix Metalloproteinase-1 by Wei-Ping Sun, Xiao Du, Jun-Jun Chen

“…The multivariable ordinal logistic regression model for sST2 and TIMP-1 showed good discrimination between SR and AF, with an AUC of 0.846, and the addition of clinical factors, such as brain natriuretic peptide (BNP), left atrial diameter, age, and gender, to the biomarker model improved the detection of SR and AF (AUC 0.901). Conclusions. In this cohort study, sST2 and TIMP-1 were associated with AF progression, independent of clinical characteristics and biomarkers. …”
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MULTIDISCIPLINARY APPROACH TO THE TREATMENT OF PATIENTS WITH METASTASES OF MELANOMA WITHOUT DETECTABLE PRIMARY TUMOR by I. G. Zakurdyaeva

“…The combined modality treatment of patients with metastases of melanoma with unknown primary site had allowed 10 patients to survive more than 3 years with no evidence of disease progression. The complete response was achieved in 10 (47,6 %) patients, partial response in 8 (38,1 %) patients and disease progression in 3 (14,3 %) patients. …”
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Machine Learning Approaches for Speech-Based Alzheimer’s Detection: A Comprehensive Survey by Ahmed Sharafeldeen, Justin Keowen, Ahmed Shaffie

“…It is the seventh leading cause of death worldwide, with millions of people affected. Early and accurate detection of AD is critical for improving patient outcomes and slowing disease progression. …”
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Decoding Salivary ncRNAomes as Novel Biomarkers for Oral Cancer Detection and Prognosis by Subhadeep Das, Sampad Basak, Soumyadev Sarkar

“…To achieve better therapy and an early detection of the cancer, it is essential to understand the disease’s etiology at the molecular level. …”
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Real-time classroom student behavior detection based on improved YOLOv8s by Xiaojing Sheng, Suqiang Li, Sixian Chan

“…Subsequently, we introduce a Progressive Feature Optimization Module (PFOM) to segment the channel dimension of the input feature map. …”
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IRFNet: Cognitive-Inspired Iterative Refinement Fusion Network for Camouflaged Object Detection by Guohan Li, Jingxin Wang, Jianming Wei, Zhengyi Xu

“…Comprehensive ablation studies validate the effectiveness of each proposed component and demonstrate how our iterative refinement strategy enables progressive improvement in detection accuracy.…”
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Photoacoustic polydopamine-indocyanine green (PDA-ICG) nanoprobe for detection of senescent cells by Muhamad Hartono, Andrew G. Baker, Thomas R. Else, Alexander S. Evtushenko, Sarah E. Bohndiek, Daniel Muñoz-Espín, Ljiljana Fruk

“…Therefore, detection of senescent cells in tissues holds great promise for predicting cancer occurrence earlier, assessing tumour progression, aiding patient stratification and prognosis, and informing about the efficacy of potential senotherapies. …”
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Identification problem for stochastic models with application to carcinogenesis, cancer detection and radiation biology by L. G. Hanin

“…This methodology allows for a unified approach to studying identifiability of various stochastic models arising in biology and medicine including models of spontaneous and induced Carcinogenesis, tumor progression and detection, and randomized hit and target models of irradiated cell survival. …”
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From lab to life: technological innovations in transforming cancer metastasis detection and therapy by Soumya Basu, Satish Sasikumar, Subhayan Sur, Viniti Vaidya, Supriya Kheur, Samir Gupta, Amit Ranjan, Manash Paul, Neelu Nawani, Aditi Bhat, Nikita Adak

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Diagnostic tests for tuberculosis infection and predictive indicators of disease progression: Utilizing host and pathogen biomarkers to enhance the tuberculosis elimination strateg... by Tonino Alonzi, Elisa Petruccioli, Alessandra Aiello, Federica Repele, Delia Goletti

“…This review provides an update on the tests currently used for TBI diagnosis and offers an overview of experimental tests based on either host response analysis or pathogen detection. Additionally, we briefly report experimental tests, such as those based on host RNA signatures, which can help identifying TBI individuals at high risk of progressing toward TB disease. …”
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Effect of disease progression on CSF-directed AAV gene therapy in a large brain animal model of lysosomal storage disease by Jacqueline E. Hunter, Caitlyn M. Molony, Wojciech K. Panek, Charles H. Vite, Sanjeev Chawla, Harish Poptani, John H. Wolfe

“…These results further demonstrate the importance of early detection and treatment of a lysosomal storage disease to successful outcomes.…”
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Metastases to Regional Lymph Nodes in Breast Cancer: Current Views of Detection Methods by I. E. Kondrashkin, V. E. Fedorov, V. Y. Barsukov, Y. I. Orlova, L. F. Zhandarova

“…Consequently, the effective detection of metastases within the regional lymphatic system during breast tumor progression is a critical diagnostic component. …”
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Circulating-free DNA: A promising tool for early detection of myocardial infarction by Sajjad Rafiei, MD, Amir Modarresi Chahardehi, Vuanghao Lim

“…Liquid biopsies using cfDNA enable dynamic monitoring of disease progression, but methodological variability and low concentrations limit its standalone use. …”
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FPGA implementation of deep learning architecture for ankylosing spondylitis detection from MRI by Sıtkı Kocaoğlu

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Lipidome disruption in Alzheimer’s disease brain: detection, pathological mechanisms, and therapeutic implications by Sijia He, Ziying Xu, Xianlin Han

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In Situ Raman Spectroscopy for Early Corrosion Detection in Coated AA2024-T3 by Adrienne K. Delluva, Ronald L. Cook, Matt Peppel, Sami Diaz, Rhia M. Martin, Vinh T. Nguyen, Jeannine E. Elliott, Joshua R. Biller

“…Here we describe the synthesis and evaluation of a molecular corrosion sensor that can be applied in situ in aerospace coatings, then used to detect corrosion after the coating has been applied. …”
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Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50 by Eiman Wahab, Wajeeha Shafique, Habiba Amir, Sameena Javed, Muhammad Marouf

“… In today's rapidly evolving world, where technology is progressing swiftly, there is an increasing demand for facial recognition systems. …”
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Deep Embedded Auto-encoder for End-to-End Unsupervised Image Anomaly Detection by Xuan Huang, Hailin Tang

“…Abstract Image anomaly detection plays a critical role in industrial quality control, medical diagnostics, and security surveillance, yet existing unsupervised methods often suffer from limited detection accuracy and poor adaptability. …”
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