Rationale and design of the HERZCHECK trial: Detection of early heart failure using telemedicine and cardiovascular magnetic resonance in structurally weak regions (NCT05122793) by Sebastian Kelle, Anna Clara Nolden, Maximilian Leo Müller, Rebecca Elisabeth Beyer, Henning Steen, Bjoern Andrew Remppis, Johannes Wieditz, Hannah Kentenich, Alex Tuit, Mina Cvetkovic, Undine Ella Witt, Florian André, Sein Schmidt, Alexander Huppertz, Dusan Simic, Dirk Müller, Arim Shukri, Matthias Issing, Andre Glardon, Katrin Christiane Reber, Ulf Landmesser, Norbert Frey, Burkert Pieske, Stephanie Stock, Volkmar Falk, Tim Friede, Gisela Thiede

“…Yet established screening algorithms for asymptomatic pre-HF, allowing for early and effective preventive interventions, are largely lacking. …”
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Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features by Ameya Harmalkar, Roshan Rao, Yuxuan Richard Xie, Jonas Honer, Wibke Deisting, Jonas Anlahr, Anja Hoenig, Julia Czwikla, Eva Sienz-Widmann, Doris Rau, Austin J. Rice, Timothy P. Riley, Danqing Li, Hannah B. Catterall, Christine E. Tinberg, Jeffrey J. Gray, Kathy Y. Wei

“…On out-of-distribution (refers to the fact that the out-of-distribution sequnes are blind to the algorithm) sequences, we show that a sufficiently simple CNN model performs better than general pre-trained language models trained on diverse protein sequences (average Spearman correlation coefficient, [Formula: see text], of 0.4 as opposed to 0.15). …”
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Exploring fecal microbiota signatures associated with immune response and antibiotic impact in NSCLC: insights from metagenomic and machine learning approaches by Wenjie Han, Wenjie Han, Yuhang Zhou, Yuhang Zhou, Yiwen Wang, Yiwen Wang, Xiaolin Liu, Tao Sun, Tao Sun, Junnan Xu, Junnan Xu, Junnan Xu

“…Among eight machine learning algorithms evaluated, the optimal model was selected to construct a predictive framework for immunotherapy response.ResultsMicrobial α-diversity was significantly elevated in responders compared to non-responders, with antibiotic administration further amplifying this difference—most notably at the species level. …”
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Development and validation of a nomogram for differentiating immune checkpoint inhibitor-related pneumonitis from pneumonia in patients undergoing immunochemotherapy: a multicenter... by Linli Duan, Guanglu Liu, Zijie Huang, Rong Chen, Di Mo, Yuxiao Xia, Jiazhu Hu, Mengzhang He

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Investigating the Complexity of Multidimensional Symptom Experiences in Patients With Cancer: Systematic Review of the Network Analysis Approach by Vincent Richard, Allison Gilbert, Emanuela Pizzolla, Giovanni Briganti

“…Several NA approaches were used: network visualization (n=1), Bayesian network (n=1), pairwise Markov random field and IsingFit method (n=1), unregularized Gaussian graphical model (n=2), regularized partial correlation network (n=6), network visualization and community NA (n=1), network visualization and Walktrap algorithm (n=1), undirected network model with the Fruchterman-Reingold and edge-betweenness approaches (n=4), biased correlation and concise pattern diagram (n=1), extended Bayesian information criterion graphical LASSO method (n=3), cross-lagged panel network (n=1), and unspecified NA (n=3). …”
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Accuracy and clinical effectiveness of risk prediction tools for pressure injury occurrence: An umbrella review. by Bethany Hillier, Katie Scandrett, April Coombe, Tina Hernandez-Boussard, Ewout Steyerberg, Yemisi Takwoingi, Vladica M Veličković, Jacqueline Dinnes

“…Two SRs assessing machine learning-based algorithms reported high prognostic accuracy estimates, but some of which were sourced from the same data within which the models were developed, leading to potentially overoptimistic results. …”
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Glasgow Coma Scale: Linguistic-Cultural Adaptation of the Russian Version by M. A. Piradov, N. A. Suponeva, Yu. V. Ryabinkina, E. V. Gnedovskaya, K. A. Ilyina, D. G. Yusupova, A. A. Zimin, L. A. Legostaeva, E. G. Yazeva, I. S. Bakulin, A. B. Zaitsev, N. V. Polekhina, P. Bundhun, N. M. Ramchandani, V. Y. Samorukov, M. A. Domashenko

“…In order to carry out a quick and at the same time sufficiently complete assessment of this kind, in 1974 neurosurgeons Graham Teasdale and Bryan Jennett from the University of Glasgow developed an algorithm consisting of a sequential series of tests in the form of eye opening, speech and motor responses, called Glasgow Coma Scale. …”
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Static stress triggering of Morocco M 6.9 earthquake on 9 September 2023 by WANG Runyan, WAN Yongkui, GUAN Zhaoxuan, HUANG Shaohua, GU Peiyuan, SONG Zeyao, ZHOU Mingyue

“…Methods  Using the "central solution" algorithm, two possible nodal planes of the earthquake were determined, and the local stress field was projected onto these two planes. …”
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Recommendations for the management of functional dyspepsia from the SEGHNP working group on motility and functional gastrointestinal disorders by Miguel Ángel Carro Rodríguez, Inmaculada Hidalgo Montes, Carmen Jovani Casano, Aránzazu Recio Linares, Etna Masip Simó, Gloria Rodrigo Garcia, Andrés Bodas Pinedo

“…Conclusion: We developed an algorithm with the aim of standardizing the management of patients with FD. …”
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Daily time-use compositions of physical behaviours and its association with evaluative and experienced wellbeing: a multilevel compositional analysis by Anantha Narayanan, Scott Duncan, Conal Smith, Flora Le, Lisa Mackay, Julia McPhee, Basile Chaix, Tom Stewart

“…Time-use data were processed using UK Biobank machine learning algorithms. We employed Bayesian multilevel compositional analysis to investigate how time-use behaviours, and reallocating time between behaviours, were associated with both life satisfaction and momentary affective states. …”
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Experimental Study on Blockage Mechanism and Blockage Locations for Polymer-Flooded Reservoirs in the Henan Oilfield by Yu Li, Meilong Fu, Baofeng Hou, Zhiyuan Zhang, Ruiyi Sun

“…The “four properties” relationship of the formation reservoir in the Nanbaxian oil and gas field was studied in depth according to the conventional logging data and core analysis data. The neural network algorithm was used to reconstruct the resistivity curve of the water layer to eliminate the influence of lithology, shale content, and pore structure on the resistivity. …”
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Antithrombotic Therapy in Patients with Malignant Lymphoproliferative Disorders Treated with Ibrutinib by EI Emelina, GE Gendlin, IG Nikitin

“…In 2 patients with AF who underwent coronary stenting the dual antithrombotic therapy instead of the triple one was administered according to the management algorithm for patients with high risk of hemorrhagic complications. …”
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Effect of freezing and thawing on ejaculated sperm and subsequent pregnancy and neonatal outcomes in IVF by Qin Xie, Xueyi Jiang, Ming Zhao, Yating Xie, Yong Fan, Lun Suo, Yanping Kuang

“…To balance the baseline characteristics of the two groups, patients using frozen sperm were matched with control groups using a propensity score matching algorithm with a ratio of 1:3.ResultsAlthough sperm motility decreased from 82.04% to 75.70% (P < 0.001) after the freezing–thawing process, the fertilization rate (68.27% for frozen sperm and 67.54% for fresh sperm), number of viable embryos (1.98 and 2.16), clinical pregnancy rate (44.7% and 51.8%), and live birth rate (40.3% and 42.4%) were comparable between the two groups (all P > 0.05). …”
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CLINICAL AND MORPHOLOGICAL APPROACH TO DIAGNOSIS OF "IDIOPATHIC" ARRHYTHMIAS AND DILATED CARDIOMYOPATHY SYNDROME AS A BASIS FOR DIFFERENTIATED THERAPY. Part II (Treatment) by O. V. Blagova, A. V. Nedostup, E. A. Kogan, V. A. Sulimov, Yu. V. Osipova, V. P. Sedov, A. G. Kupriyanova, V. A. Zaydenov, A. E. Donnikov, V. V. Kadochnikova

“…However in the control group the incidence of myocarditis and anti-heart antibodies titers were significantly lower than in the main group, where a strong correlation between myocarditis and anti-heart antibodies titers was found. The algorithm of noninvasive nosological diagnostics was developed; it allowed to verify diagnosis in 95% of IA patients and 89% DCM patientsThe basic therapy (antiviral drugs, corticosteroids, hydroxychloroquine, azathioprine) was performed in some patients with myocarditis. …”
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Development and validation of a small-sample machine learning model to predict 5–year overall survival in patients with hepatocellular carcinoma by Tingting Jiang, Xingyu Liu, Wencan He, Hepei Li, Xiang Yan, Qian Yu, Shanjun Mao

“…Among them, the SVM model had the best performance (Accuracy = 0.987, F1 score = 0.988, Recall value = 1.000). The SVM algorithm demonstrated superior performance and stability in the internal and external validations of the model. …”
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Impossible 4-Tuple Attack: A New Mixture-Based Cryptanalysis Applied to Reduced-Round AES-128 by Masroor Hajari, Mahmoud Salmasizadeh, Javad Mohajeri, Siavash Ahmadi, Atiyeh Mirzaie

“…Finally, to demonstrate the validity of the proposed impossible 4-tuple cryptanalysis methods, a simplified version of the methods was applied to the miniAES algorithm. Accordingly, two corresponding open-source tools, &#x201C;<inline-formula> <tex-math notation="LaTeX">$\mathsf {miniAES\_Typical\_Imp\_4tuple.py}$ </tex-math></inline-formula>&#x201D; and &#x201C;<inline-formula> <tex-math notation="LaTeX">$\mathsf {miniAES\_Fast\_Imp\_4tuple.py}$ </tex-math></inline-formula>,&#x201D; were developed to recover the master key of the miniAES block cipher.…”
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Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study by Zhen Lu, Binhua Dong, Hongning Cai, Tian Tian, Junfeng Wang, Leiwen Fu, Bingyi Wang, Weijie Zhang, Shaomei Lin, Xunyuan Tuo, Juntao Wang, Tianjie Yang, Xinxin Huang, Zheng Zheng, Huifeng Xue, Shuxia Xu, Siyang Liu, Pengming Sun, Huachun Zou

“…CCP2–4 had significantly higher risks of CIN2+ (CCP2: OR 2.07 [95% CI: 2.03‐2.12], CCP3: 3.88 [3.78‐3.97], and CCP4: 4.47 [4.33‐4.63]) and CIN3+ (CCP2: 2.10 [2.05‐2.14], CCP3: 3.92 [3.82‐4.02], and CCP4: 4.45 [4.31‐4.61]) compared to CCP1 (P ConclusionsThis study underscores the potential of leveraging machine learning algorithms and large-scale routine electronic health records to enhance CCP strategies. …”
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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review by Kapongo D. Lumamba, Gordon Wells, Delon Naicker, Threnesan Naidoo, Adrie J. C. Steyn, Mandlenkosi Gwetu

“…The ultimate goal is to promote the development of more efficient and accurate algorithms for the detection or analysis of TB, and raise awareness about the importance of early detection. …”
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The results of a survey of Russian doctors in order to identify the compliance of the management of children with chronic urticaria with clinical recommendations by Yu. S. Smolkin, S. S. Masalskiy, R. F. Khakimova, O. V. Trusova, I. A. Larkova, E. V. Timofeeva, R. Ya. Meshkova, N.  B. Migacheva, E. V. Stezhkina, T. S.  Lepeshkova, A. Yu. Pischalnikov

“…The clinical guidelines used by physicians were documents of pediatric and allergy associations of Russia (77.3 and 55.9 %, respectively), international guides were used by 27 % of respondents.The most frequent deviations from the recommended algorithm were the prescription of biochemical blood tests (64.9 %), ultrasound examination of organs (56.9 %), consultations of specialists without indications: gastroenterologist (48.2 %), infectious disease specialist (31.8 %), rheumatologist (27.1 %). …”
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Método integral configurable y flexible de ensayo de materiales consumibles de soldadura por arco eléctrico. // Integral, flexible and shaped method for electric arc welding consum... by A. García Rodríguez

“…It is also possible to obtain electric<br />arc parameters data bases useful for search, development and valuation of methods and algorithms for real time monitoring of welding<br />quality during fixed technologic process of electric arc welding.…”
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