Low sensitivity of the fourth‐generation antigen/antibody HIV rapid diagnostic test Determine™ HIV Early Detect for detection of acute HIV infection at the point of care in rural E... by Iza Ciglenecki, Nombuso Ntshalintshali, Esther Mukooza, Skinner Lekelem, Mpumelelo Mavimbela, Sindisiwe Dlamini, Lenhle Dube, Nomvuyo Mabuza, Melat Haile, Tom Ellman, Antonio Flores, Olivia Keiser, Sindy Matse, Roberto de laTour, Alexandra Calmy, Bernhard Kerschberger

“…AHI was defined as a negative or discordant HIV test result according to the national serial RDT algorithm and an HIV VL >10,000 copies/ml, or two consecutive HIV VL measurements between the lower limit of detection (40 copies/ml) and 10,000 copies/ml. …”
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Integrating Cognitive Intelligence and VANET for Effective Traffic Congestion Detection in Smart Urban Mobility by Anita Mohanty, Ambarish G. Mohapatra, Subrat Kumar Mohanty, Tiansheng Yang, Rajkumar Singh Rathore, Ahmed Alkhayyat, Deepak Gupta

“…This approach promises a more effective congestion detection methodology with minimal installation costs. …”
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CytoBead ANA 2 assay - a novel method for the detection of antinuclear antibodies by Tulchinsky Roei, Gilburd Boris, Shovman Yehuda, Tocut Milena, Zeruya Eleanor, Binyaminov Ariel, Davidson Tima, Thomas Büttner, Abdullah Nasser, Juliane Michel, Stefan Rödiger, Peter Schierack, Amital Howard, Dirk Roggenbuck, Shoenfeld Yehuda, Shovman Ora

“…Abstract Detection of anti-nuclear autoantibodies (ANA) is based on a two-step algorithm including indirect immunofluorescence (IIF) on HEp2 cells and subsequent reflex/confirmatory testing for specific autoantibodies. …”
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Detection of platelet-associated immunoglobulins and complement system components in patients with aplastic anemia and hemoblastosis by A. F. Rakhmani, E. A. Mikhaylova, I. V. Galtseva, Yu. O. Davidova, N. M. Kapranov, I. V. Dubinkin, S. M. Kulikov, T. V. Gaponova, Z. T. Fidarova, V. V. Troitskaya, E. N. Parovichnikova, V. G. Savchenko

“…In addition to application of a certain transfusion therapy algorithm it is also necessary to detect PAIg (G, M, A) and PAC3 / C4 for prediction of severe refractoriness to donor's platelet transfusions.…”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…A hybrid optimization approach was also introduced for feature selection using green anaconda optimization and the chaotic learning osprey optimization algorithm. Furthermore, an RL-based IDS (RL-IDS) that incorporates RNNs and autoencoders with a deep Q-network was proposed to enhance threat detection. …”
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Research on Cross-Circuitry Fault Identification Method for AC/DC Transmission System Based on Blind Signal Separation Algorithm by Yan Tao, Xiangping Kong, Chenqing Wang, Junchao Zheng, Zijun Bin, Jinjiao Lin, Sudi Xu

“…Then, the electrical signals of the AC system and the DC system of the AC/DC power transmission system are collected, and the collected signals are extracted by the blind signal separation algorithm. Then, aiming at the cross-circuitry Fault problem of the DC system, the electrical quantities of the positive and negative poles on the rectifier side and the inverter side are collected, and the characteristics of the electrical quantities are analyzed by wavelet to determine the fault. …”
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Clinical performance of human papillomavirus based cervical cancer screening algorithm: The result of a large Danish implementation study by Sofie Lindquist, Susanne K. Kjær, Kirsten Frederiksen, Dorthe Ørnskov, Lone Kjeld Petersen, Christian Munk, Marianne Waldstrøm

“…Conclusions In this pilot implementation study, an algorithm for HPV‐based screening was evaluated in a Danish setting. …”
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Real-time Detection of Imperfect Wheat Grains on Wheat Pile Surface Based on IDS-YOLO by FAN Jiawei, WU Lan, YAN Jingjing

“…To address the high missed detection rate of imperfect grains in target detection algorithms and to enhance the model detection speed, this study optimized the lightweight network model YOLOV4-Tiny. …”
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Detection of Mycobacterium tuberculosis in sputum in patients coinfected with HIV / tuberculosis by various methods (literature review) by I. B. Viktorova, S. Yu. Degtyareva, E. I. Kulabukhova, E. N. Beloborodova, V. N. Zimina

“…The  experience of different countries of the world on the effectiveness of  various diagnostic algorithms for detecting tuberculosis in HIV/TB  co-infection and the role of molecular-genetic methods in the  diagnosis of tuberculosis are discussed. …”
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Advances in Skeleton-Based Fall Detection in RGB Videos: From Handcrafted to Deep Learning Approaches by Van-Ha Hoang, Jong Weon Lee, Md. Jalil Piran, Chun-Su Park

“…In the elderly population, falls are one of the leading causes of fatal and non-fatal injuries. Fall detection and early alarms play an important role in mitigating the negative effects of falls, especially given the growing proportion of the elderly population. …”
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Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence–Enabled ECGs by Scott Anjewierden, Donnchadh O'Sullivan, Kathryn E. Mangold, Grace Greason, Itzhak Zachi Attia, Francisco Lopez‐Jimenez, Paul A. Friedman, Samuel J. Asirvatham, Jason Anderson, Benjamin W. Eidem, Jonathan N. Johnson, Shisheer Havangi Prakash, Talha Niaz, Malini Madhavan

“…We aimed to develop novel artificial intelligence–enabled ECG algorithms for LVSD and RVSD detection in pediatric patients. …”
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Assessing the performance of the Asian/Pacific islander identification algorithm to infer Hmong ethnicity from electronic health records in California by Susan L Stewart, May Ying N Ly, Katherine K Kim

“…Sensitivity, specificity, positive (PPV) and negative predictive values (NPVs) were calculated comparing the source data ethnicity inferred by the algorithm with the self-reported ethnicity from the questionnaire.Participants EHRs indicating Hmong, Chinese, Vietnamese and Korean ethnicity who met the original study inclusion criteria were analysed.Results The NAPIIA had a sensitivity of 78%, a specificity of 99.9%, a PPV of 96% and an NPV of 99%. …”
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Two‐stage video anomaly detection based on dual‐stream networks and multi‐instance learning by Dejun Zhang, Wenbo Fang, Yuhang Liu, Zirong Lyu, Chen Xiong, Zhan Wang

“…However, watching surveillance footage is a labor‐intensive task, and prolonged observation can lead to visual fatigue and lack of concentration, which in turn results in missed detections and false positives [1]. Therefore, it is crucial to develop intelligent algorithms for video anomaly detection. …”
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Research on load frequency control system attack detection method based on multi-model fusion by Feng Zheng, Weixun Li, Huifeng Li, Libo Yang, Zengjie Sun

“…A multi-model fusion attack detection framework is proposed, integrating (Long Short-Term Memory) LSTM supervised learning and autoencoder unsupervised learning algorithms, with an adaptive weight adjustment mechanism that dynamically optimizes detection strategies. …”
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing by Krzysztof Pastuszak, Michał Sieczczyński, Marta Dzięgielewska, Rafał Wolniak, Agata Drewnowska, Marcel Korpal, Laura Zembrzuska, Anna Supernat, Anna J. Żaczek

“…We developed four tree-based models and we trained and tested them on a dataset consisting of Smart-Seq2 sequenced data from primary tumor sections of breast cancer patients and PBMCs and on a public dataset with manually annotated CTC expression profiles from 34 metastatic breast patients, including triple-negative breast cancer. Our best models achieved about 95% balanced accuracy on the CTC test set on per cell basis, correctly detecting 133 out of 138 CTCs and CTC-PBMC clusters. …”
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Curvature-Based Change Detection in Road Segmentation: Ascending Hierarchical Clustering vs. K-Means by David Jaurès Fotsa-Mbogne, Addie Bernice Nguensie-Wakponou, Jean Michel Nlong, Marcellin Atemkeng, Maurice Tchuente

“…Given the high frequency of data collection by accelerometers, the resulting large datasets pose a computational challenge for anomaly detection using supervised classification algorithms. …”
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The impact of social media messages on Parkinson’s disease treatment: detecting genuine sentiment in patient notes by Hanane Grissette, El Habib Nfaoui

“…It is been crucial to analyze online narratives and detect sentiment in patients’ self-reports. In this paper, we propose an automatic concept-level neural network method to distilling genuine sentiment in patients’ notes as medical polar facts into true positives and true negatives. …”
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Screening potential diagnostic biomarkers for PLA2R‑associated idiopathic membranous nephropathy by WGCNA analysis and LASSO algorithm by Jinxu Huang, Yaqing Huang, Xiaoling Zeng, Yuhong Zhang, Junneng Zhang, Qingchu Hong, Yongtiao Peng

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Computer Network System for Fire Flame detection from Digital Video using Fractal Geometry by Laheeb Ibrahim, Khalil Alsaif, Hasan Ahmed

“…Applying the suggested algorithm on Various samples exceeding 300 colored digital images containing flames with different spectra have been selected. …”
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Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India) by Olivia K. Botonis, Jonathan Mendley, Shreya Aalla, Nicole C. Veit, Michael Fanton, JongYoon Lee, Vikrant Tripathi, Venkatesh Pandi, Akash Khobragade, Sunil Chaudhary, Amitav Chaudhuri, Vaidyanathan Narayanan, Shuai Xu, Hyoyoung Jeong, John A. Rogers, Arun Jayaraman

“…An Extreme Gradient Boosting algorithm was trained to discriminate between COVID-19 infected individuals (n = 295) and COVID-19 negative healthy controls (n = 172) and achieved an F1-Score of 0.80 (95% CI = [0.79, 0.81]). …”
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