Development of machine learning predictive models and risk scoring system for survival in breast cancer patients with type II diabetes: a retrospective cohort study by Claire Chenwen Zhong, Junjie Huang, Zhaojun Li, Yu Jiang, Zehuan Yang, Ziwei Huang, Qi Dou, Yu Li, Martin C.S. Wong

“…Five machine learning algorithms were employed to develop predictive models for the survival of breast cancer patients with T2DM: Cox proportional hazards regression, LASSO Cox regression, boosting, survival tree, and random survival forest (RSF). …”
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Analisis Kinerja Model Deteksi Objek Yolo, Ssd, dan Faster R-Cnn pada Citra Penglihatan Malam untuk Pengenalan Tindak Kejahatan by Hendriyawan Achmad, Arif Pramudwiatmoko, Muhammad Satrio Gumilang, Bahrul Al Karim, Hadi Wiyono

“…In an effort to address this pressing concern, the present research advocates for the deployment of advanced security technologies, specifically emphasizing the utilization of night vision surveillance cameras in conjunction with machine learning algorithms to proficiently identify klitih-related offenses, particularly during nocturnal hours. …”
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Validation of Automated Respiratory Event Scoring in Type 3 Home Sleep Apnea Testing by Shiroshita N, Obata R, Kawana F, Kato M, Sato A, Ishiwata S, Yatsu S, Matsumoto H, Shitara J, Murata A, Shimizu M, Kato T, Suda S, Tomita Y, Hiki M, Naito R, Kasai T

“…Alice NightOne, a widely used polygraphy device, includes automatic scoring software; however, more reliable scoring results can be provided by incorporating advanced algorithmic systems like Somnolyzer. Despite this, the accuracy of automatic scoring of this polygraphy device using such applications has not been specifically investigated. …”
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Rapid inference of antibiotic susceptibility phenotype of uropathogens using metagenomic sequencing with neighbor typing by Amanda C. Carroll, Leanne Mortimer, Hiren Ghosh, Sandra Reuter, Hajo Grundmann, Karel Brinda, William P. Hanage, Angel Li, Aimee Paterson, Andrew Purssell, Ashley Rooney, Noelle R. Yee, Bryan Coburn, Shola Able-Thomas, Martin Antonio, Allison McGeer, Derek R. MacFadden

“…Pairing metagenomic sequencing with genomic neighbor typing algorithms may support rapid clinically actionable results. …”
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Evaluation criteria of centralization options in the architecture of multicomputer systems with traps and baits by Antonina Kashtalian, Sergii Lysenko, Anatoliy Sachenko, Bohdan Savenko, Oleg Savenko, Andrii Nicheporuk

“…The analyzed works establish the main types of centralization used in the architecture of systems: centralized, partially centralized, partially decentralized, decentralized. However, algorithms and methods for the transition of systems from one type to another in the process of their functioning are not provided. …”
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A novel stemness-related lncRNA signature predicts prognosis, immune infiltration and drug sensitivity of clear cell renal cell carcinoma by Jia Liu, Lin Yao, Yong Yang, Jinchao Ma, Ruijian You, Ziyi Yu, Peng Du

“…Multiple machine learning algorithms were employed to construct a prognostic signature. …”
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Three-Year On-Orbit Radiometric Performance of the SDGSAT-1 Multispectral Imager (MSI) by Lin Yan, Enchuan Qiao, Changyong Dou, Hao Zhang, Zhenzhen Cui, Yonghong Hu, Xiao-Ming Li, Jinlong Ai

“…Further efforts including enhanced calibration algorithms developing, cross radiometric calibration with payloads have good radiometric performance will be conducted. …”
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An IoT-enabled AI system for real-time crop prediction using soil and weather data in precision agriculture by MD Shaifullah Sharafat, Nilavro Das Kabya, Rahimul Islam Emu, Mehrab Uddin Ahmed, Jakaria Chowdhury Onik, Mohammad Aminul Islam, Riasat Khan

“…Several machine learning algorithms, including Random Forest, Gradient Boosting, and Stacking ensembles, as well as deep learning models such as TabNet, were evaluated for crop prediction. …”
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Spatiotemporal evolution of interseismic coupling and stress accumulation near an asperity on a vertical strike-slip fault: Insights from three-dimensional viscoelastic numerical s... by LI Yebo, HUANG Luyuan, YAO Rui, TIAN Yiwei, YANG Shuxin

“…These models incorporate vertical strike-slip faults and use sophisticated contact algorithms to simulate the mechanical locking associated with asperities. …”
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Progress and key technology analysis of bronchoscopic robot by Xingguang DUAN, Dongsheng XIE, Fengxinyun FANG, Rui HE, Changsheng LI

“…In addition, combining artificial intelligence (AI) with robotic systems is anticipated to significantly enhance the intelligence of bronchoscopic robots. AI-driven algorithms can provide advanced decision-making support, improve diagnostic accuracy and enable personalized treatment strategies. …”
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A compilation of surface inherent optical properties and phytoplankton pigment concentrations from the Atlantic Meridional Transect by T. M. Jordan, G. Dall'Olmo, G. Tilstone, R. J. W. Brewin, F. Nencioli, R. Airs, C. S. Thomas, L. Schlüter

“…<p>In situ measurements of particulate inherent optical properties (IOPs) – absorption (<span class="inline-formula"><i>a</i>_p(<i>λ</i>)</span>), scattering (<span class="inline-formula"><i>b</i>_p(<i>λ</i>)</span>), and beam attenuation (<span class="inline-formula"><i>c</i>_p(<i>λ</i>)</span>) – are crucial for the development of optical algorithms that retrieve biogeochemical quantities such as chlorophyll <span class="inline-formula"><i>a</i></span>, particulate organic carbon (POC), and total suspended matter (TSM). …”
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Comparative analysis of the diagnostyc value of CT and MRI in the assessment of peritoneal carcinomatosis in ovarian cancer by Yu. A. Soloveva, N. A. Rubtsova, E. G. Novikova, D. O. Kabanov, S. A. Skugarev

“…The importance of diagnostic information on the prevalence of peritoneal carcinomatosis at the stage of planning treatment tactics in patients with AOC requires improvement of examination algorithms and unification of methodological approaches during CT and MRI. …”
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Development of a robust FT-IR typing system for Salmonella enterica, enhancing performance through hierarchical classification by Diego Fredes-García, Javiera Jiménez-Rodríguez, Alejandro Piña-Iturbe, Pablo Caballero-Díaz, Tamara González-Villarroel, Fernando Dueñas, Aniela Wozniak, Aiko D. Adell, Andrea I. Moreno-Switt, Patricia García

“…The IR Biotyper was used to acquire spectra from these isolates. Machine learning algorithms, including support vector machines, were trained to classify the isolates. …”
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Antibiogram use on dairy cattle for bovine respiratory disease: Factors associated with bacterial pathogen identification and prediction of bacterial recovery using machine learnin... by Hugo F. Monteiro, Alejandro Hoyos-Jaramillo, Adriana Garzon, Heather M. Fritz, Craig C. Miramontes, Isabelle M. Matos, Terry W. Lehenbauer, Sharif Aly, Fabio S. Lima, Richard V. Pereira

“…Differences in predictive abilities, factor importance, and the still limited number of predictors in these ML analyses further indicate a potential for building more robust future models once datasets are expanded and more robust algorithms are considered. Overall, correctly identifying factors that may be associated with the prevalence of BRD pathogens and, therefore, recovery of these pathogens is critical for the development of antibiogram programs for evaluation of the antimicrobial susceptibility of BRD pathogens.…”
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Characterization of Cuproptosis-Related LncRNAs Prognostic Signature and Identification of LINC02285 as a Novel Biomarker for Ovarian Cancer by Lei H, Zhou Z, Liu C, Chen W, Li Y, Shu G, Wang M, Guo K, Pan Q, Yin G

“…Furthermore, tumor immune microenvironment and drug sensitivity were analyzed using ssGSEA, GSVA, ESTIMATE, and CIBERSORT algorithms. Finally, the tumorigenic effect of LINC02285 in OC and its correlation with cuproptosis were investigated by in vitro cell experiments.Results: We identified 138 CRLs correlated with cuproptosis-related genes (CRGs), 4 key CRLs (AC080038.1, AC083880.1, LINC00861, and LINC02285) were used to develop a prognostic model that effectively distinguished between low-risk and high-risk patients with significant differences in overall survival and progression-free survival. …”
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Pharmacological potential of 6,11-dihydro[1,2,4]triazolo[4’,3’:1,6]-pyrido[3,4-b]-5-carboxylic acid and its esters by S. O. Fedotov, A. S. Hotsulia

“…The molecular docking method, based on computational algorithms, has been used to predict and study interactions, including the identification of potential binding sites, estimation of energy parameters and spatial configuration of molecules. …”
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Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

“…Future work may focus on further optimizing the retrieval algorithms and expanding the range of supported data platforms to enhance the robustness and scalability of the system.…”
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Triphasic CT Radiomics Model for Preoperative Prediction of Hepatocellular Carcinoma Pathological Grading by Huang H, Pan X, Zhang Y, Yang J, Chen L, Zhao Q, Huang L, Lu W, Deng Y, Huang Y, Ding K

“…Key features were selected using minimum redundancy maximum relevance (mRMR), SelectKBest, and least absolute shrinkage and selection operator (LASSO) algorithms. Logistic regression and support vector machine (SVM) classifiers were employed to develop individual phase-specific models and a triphasic fusion model. …”
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Cross-national differences in the association between estimated cardiorespiratory fitness and depressive symptoms among older adults: findings from three nationwide cohort studies by Xue He, Cong Li, GuangYao Hua, Yan Wang, Lijun Zhang, Chingyu Cheng, Jinghua Jiao, Honghua Yu, Xiaohong Yang, Lei Liu

“…Methods Data were retrieved from three national cohorts: the Health and Retirement Study (HRS, United States), the English Longitudinal Study of Ageing (ELSA, England), and the China Health and Retirement Longitudinal Study (CHARLS, China). eCRF was estimated using sex-specific algorithms and categorized into low (quintiles 1), moderate (quintiles 2–3), and high (quintiles 4–5) levels. …”
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Trends in the epidemiology of diabetic retinopathy in Russian Federation according to the Federal Diabetes Register (2013–2016) by Dmitry V. Lipatov, Olga K. Vikulova, Anna V. Zheleznyakova, Mikhail А. Isakov, Elena G. Bessmertnaya, Anna A. Tolkacheva, Timofey A. Chistyakov, Marina V. Shestakova, Ivan I. Dedov

“…As the main directions of eye care development in diabetes it is necessary to standardize primary care in the regions, to unify the examination algorithms and methods of early diagnostic, to increase the continuity and interaction of endocrinologists and ophthalmologists in managing patients with diabetes in order to prevent the development of new cases of vision loss.…”
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