Measuring mortality due to HIV-associated tuberculosis among adults in South Africa: Comparing verbal autopsy, minimally-invasive autopsy, and research data. by Aaron S Karat, Mpho Tlali, Katherine L Fielding, Salome Charalambous, Violet N Chihota, Gavin J Churchyard, Yasmeen Hanifa, Suzanne Johnson, Kerrigan McCarthy, Neil A Martinson, Tanvier Omar, Kathleen Kahn, Daniel Chandramohan, Alison D Grant

“…International Classification of Diseases (ICD) codes do not differentiate between HIV-associated TB and HIV more generally. …”
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Human Performance-Aware Scheduling and Routing of a Multi-Skilled Workforce by Maikel L. van Eck, Murat Firat, Wim P. M. Nuijten, Natalia Sidorova, Wil M. P. van der Aalst

“…Planning human activities within business processes often happens based on the same methods and algorithms as are used in the area of manufacturing systems. …”
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Multiomics-Based Deep Learning Prediction of Prognosis and Therapeutic Response in Patients With Extensive-Stage Small Cell Lung Cancer Receiving Chemoimmunotherapy: A Retrospectiv... by Nie F, Pei X, Du J, Shi W, Wang J, Feng L, Liu Y

“…The model’s predictive ability was evaluated using the receiver operating characteristic (ROC) curve and clinical decision curve analysis(DCA). …”
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A Comparative Study for Speech Summarization Based on Machine Learning: A Survey by Hiba Altememi, Yusra Al-Irhaim

“…As newer deep learning approaches were not included in earlier surveys, this is a new survey in this discipline where different approaches with various datasets were explored for speech summarization and evaluated using subjective or objective methods.…”
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A Critical Comparison of Machine Learning Classifiers to Predict Match Outcomes in the NFL by Beal Ryan, Norman Timothy J., Ramchurn Sarvapali D.

“…Specifically, we implement and test nine techniques using real-world datasets of 1280 games over 5 seasons from the National Football League (NFL). We test the nine different classifier techniques using a total of 42 features for each team and we find that the best performing algorithms are able to improve one previous published works. …”
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Using machine learning to predict gamma shielding properties: a comparative study by T A Nahool, A M Abdelmonem, M S Ali, A M Yasser

“…This study employed machine learning (ML) algorithms to predict the linear attenuation coefficients (LACs) of materials in inorganic scintillation detectors, which are crucial for evaluating self-shielding properties. …”
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AI-Driven Advancements in Bioinformatics: Transforming Healthcare and Science by Sunil Namdev Thitame, Ashwini Ashok Aher

“…The sorting and analysis of large biological data sets benefit from Original Artificial Intelligence and its subcategories including machine learning and deep learning which previously struggled with data interpretation. This review evaluates the fundamental AI enabled bioinformatics approaches with their deployment for genomic and protein structure prediction and drug discovery algorithms and diagnostic solutions. …”
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Towards an optimization of catheter guidance in vascular surgery: A comparative analysis of the contribution of reinforcement learning by Cheima Bouden

“…Future research should aim to refine these algorithms for wider clinical use and integration.…”
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Multivariate Statistical Approach for Anomaly Detection and Lost Data Recovery in Wireless Sensor Networks by Roberto Magán-Carrión, José Camacho, Pedro García-Teodoro

“…Furthermore, we consider three different routing algorithms, showing the strong interplay among (a) the routing strategy, (b) the negative effect of data loss on the network performance, and (c) the data recovering capability of the approach. …”
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Optimal Control of Epidemic Routing in Delay Tolerant Networks with Selfish Behaviors by Shengze Hu, Weidong Bao, Bin Ge, Daquan Tang

“…To cope with this problem, it first proposes a theoretical framework, which can be used to evaluate the trade-off under different incentive policies. …”
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The relationship between the CYP2C19*17 genetic polymorphism and the efficacy and safety of diazepam in patients with alcohol withdrawal syndrome by V. Yu. Skryabin, M. S. Zastrozhin, E. A. Grishina, K. A. Ryzhikova, V. V. Shipitsyn, I. V. Barna, T. E. Galaktionova, A. S. Sorokin, E. A. Bryun, D. A. Sychev

“…The scores on the UKU scale, which was used to evaluate the safety of therapy, were also different: (CC) 8,0 [6,0; 12,0], (CT + TT) 6,0 [6,0; 12,0], p = 0,006.Conclusion. …”
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Role of low-frequency integrase strand transfer inhibitor resistance mutations on virological outcomes in antiretroviral therapy-naïve individuals initiating second-generation inte... by Daniele Armenia, Greta Marchegiani, Daniele Spalletta, Luca Carioti, Alessandro Tavelli, Maria Concetta Bellocchi, Vincenzo Spagnuolo, Valentina Mazzotta, Eugenia Quiros-Roldan, Valeria Bono, Stefania Carrara, Sergio Lo Caputo, Antonella D’Arminio Monforte, Francesca Ceccherini-Silberstein, Stefano Rusconi, Maria Mercedes Santoro

“…Conditional logistic regression was used to evaluate the association between INSTI resistance and risk of VR. …”
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Effect of ACE-inhibition on coronary microvascular function and symptoms in normotensive women with microvascular angina: A randomized placebo-controlled trial. by Marie Mide Michelsen, Anna Bay Rask, Elena Suhrs, Kristoffer Flintholm Raft, Nis Høst, Eva Prescott

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MedSegBench: A comprehensive benchmark for medical image segmentation in diverse data modalities by Zeki Kuş, Musa Aydin

“…The benchmark supports binary and multi-class segmentation tasks with up to 19 classes and uses the U-Net architecture with various encoder/decoder networks such as ResNets, EfficientNet, and DenseNet for evaluations. MedSegBench is a valuable resource for developing robust and flexible segmentation algorithms and allows for fair comparisons across different models, promoting the development of universal models for medical tasks. …”
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Development and application of an early prediction model for risk of bloodstream infection based on real-world study by Xiefei Hu, Shenshen Zhi, Yang Li, Yuming Cheng, Haiping Fan, Haorong Li, Zihao Meng, Jiaxin Xie, Shu Tang, Wei Li

“…Based on the optimal combination, six machine learning algorithms were used to construct an early BSI risk prediction model. …”
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Epidemiological surveillance of HIV-1 transmitted drug resistance among newly diagnosed individuals in Shijiazhuang, northern China, 2014-2015. by Xianfeng Wang, Xiaosong Liu, Feng Li, Hong Zhou, Jiefang Li, Yingying Wang, Lihua Liu, Shujun Liu, Yi Feng, Ning Wang

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Anellovirus abundance as an indicator for viral metagenomic classifier utility in plasma samples by Gabriel Montenegro de Campos, Luan Gaspar Clemente, Alex Ranieri Jerônimo Lima, Eleonora Cella, Vagner Fonseca, João Paulo Bianchi Ximenez, Milton Yutaka Nishiyama, Enéas de Carvalho, Sandra Coccuzzo Sampaio, Marta Giovanetti, Maria Carolina Elias, Svetoslav Nanev Slavov

“…Interestingly, despite employing different algorithms and data types (protein-based vs. nucleotide-based), Kaiju and Kraken2 performed similarly. …”
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Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study by Yanqi Kou, Shicai Ye, Yuan Tian, Ke Yang, Ling Qin, Zhe Huang, Botao Luo, Yanping Ha, Liping Zhan, Ruyin Ye, Yujie Huang, Qing Zhang, Kun He, Mouji Liang, Jieming Zheng, Haoyuan Huang, Chunyi Wu, Lei Ge, Yuping Yang

“…Kaplan-Meier survival analysis evaluated the impact of GIB on short-term survival. …”
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Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. by Philipp Berens, Jeremy Freeman, Thomas Deneux, Nikolay Chenkov, Thomas McColgan, Artur Speiser, Jakob H Macke, Srinivas C Turaga, Patrick Mineault, Peter Rupprecht, Stephan Gerhard, Rainer W Friedrich, Johannes Friedrich, Liam Paninski, Marius Pachitariu, Kenneth D Harris, Kenneth D Harris, Ben Bolte, Timothy A Machado, Dario Ringach, Jasmine Stone, Luke E Rogerson, Nicolas J Sofroniew, Jacob Reimer, Emmanouil Froudarakis, Thomas Euler, Miroslav Román Rosón, Lucas Theis, Andreas S Tolias, Matthias Bethge

“…Here, we report the results of the spikefinder challenge, launched to catalyze the development of new spike rate inference algorithms through crowd-sourcing. We present ten of the submitted algorithms which show improved performance compared to previously evaluated methods. …”
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Rhaponticin inhibits the proliferation, migration, and invasion of head and neck squamous cell carcinoma (HNSCC) cells through modulation of the IL6/STAT3 signaling pathway by Hongcheng Wei, Shanshan Wang, Jiayue Wan, Sicheng Li, Wei Wang, Jiajun Zhu, Lin Jiang, Yisen Shao, Yuan Wu

“…Using the CIBERSORT algorithm, we assessed the differences in infiltration levels of 22 immune cell types between the high and low IL-6 expression groups. …”
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