CELIAC DISEASE SCREENING IN A LARGE DOWN SYNDROME COHORT: COMPARISON OF DIAGNOSTIC YIELD OF DIFFERENT SEROLOGICAL SCREENING TESTS by Dilek Uludağ Alkaya, Seçil Sözen, Birol Öztürk, Nuray Kepil, Tülay Erkan, Hüseyin Tufan Kutlu, Beyhan Tüysüz

“…Conclusion: Celiac disease was detected in 2.3% of DS patients. The CD detection rate was 1.3% at initial screening but increased to 4.9% at rescreening. …”
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Pre-treatment tumour PET metrics and clinical outcomes of anal cancer in patients living with and without HIV by Michael Pennock, N. Patrik Brodin, Christian Velten, Megi Gjini, Nitin Ohri, Chandan Guha, Shalom Kalnicki, Wolfgang A. Tome, Madhur K. Garg, Rafi Kabarriti

“…Results: A total of 175 patients were included: 110 HIV-negative and 65 patients living with HIV (PLWH). Nineteen PLWH had detectable pre-treatment VL. …”
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A comprehensive analysis identified an autophagy-related risk model for predicting recurrence and immunotherapy response in stage I lung adenocarcinoma by Hongmei Zheng, Songqing Fan, Hongjing Zang, Jiadi Luo, Long Shu, Jinwu Peng

“…Real-time PCR was used to detect gene expression of hub genes in LUAD patients. …”
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Endothelial cell activation is attenuated by everolimus via transcriptional and post-transcriptional regulatory mechanisms after drug-eluting coronary stenting. by Zsolt Fejes, Zsolt Czimmerer, Tibor Szük, Szilárd Póliska, Attila Horváth, Enikő Balogh, Viktória Jeney, Judit Váradi, Ferenc Fenyvesi, György Balla, István Édes, József Balla, János Kappelmayer, Béla Nagy

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Gamified mHealth System for Evaluating Upper Limb Motor Performance in Children: Cross-Sectional Feasibility Study by Md Raihan Mia, Sheikh Iqbal Ahamed, Samuel Nemanich

“…We applied change point detection (ie, the pruned exact linear time method), signal processing techniques, and other algorithms to calculate movement speed and accuracy from spatiotemporal parameters. …”
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Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids by Xin-Ru Wen, Jia-Wei Tang, Jie Chen, Hui-Min Chen, Muhammad Usman, Quan Yuan, Yu-Rong Tang, Yu-Dong Zhang, Hui-Jin Chen, Liang Wang

“…This study aims to develop a novel method for BV detection by integrating surface-enhanced Raman scattering (SERS) with machine learning (ML) algorithms. …”
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Mapping recent timber harvest activity in a temperate forest using single date airborne LiDAR surveys and machine learning: lessons for conservation planning by G. Burch Fisher, Andrew J. Elmore, Matthew C. Fitzpatrick, Darin J. McNeil, Jeff W. Atkins, Jeffery L. Larkin

“…In this paper, we develop a timber harvest mapping workflow using machine learning (XGBoost algorithm) and single campaign airborne light detection and ranging (LiDAR) surveys for the state of Pennsylvania, USA. …”
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DYNAMICS OF MMP-8, SRANKL, AND OSTEOCALCIN CONCENTRATIONS IN THE ORAL FLUID OF PATIENTS WITH SECONDARY EDENTULISM AND AFTER PROSTHETIC TREATMENT by R.V. Tsynkush, O.V. Voznyi

“…The results obtained underscore the feasibility of employing prosthetic treatment methods to reduce destructive effects on bone tissue and open up new prospects for creating personalized treatment and rehabilitation algorithms for patients who have lost their teeth. …”
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Annotation of Text Corpora by Sentiment and Presence of Irony within a Project of Citizen Science by Ilya Vyacheslavovich Paramonov, Anatoliy Yurievich Poletaev

“…It was also shown that the results of automatic algorithms of detecting the sentiment of sentences improved by 12–13 % when using a corpus for which all the annotators (from 3 till 5) had the agreement, in comparison with a corpus annotated by only one volunteer.…”
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Multicenter exploration of microbial communities in hospital toilets reveals: antibiotic exposure in nosocomial settings selects for Enterococcus over commensal taxa by Claudio Neidhöfer, Marcel Neuenhoff, Esther Sib, Anna Rehm, Lúcia Ribeiro Dias, Bernd Neumann, Jörg Steinmann, Manuel Döhla, Yousra Kherabi, Ana Budimir, Crystel Hajjar, Rouba Khatib, Katharina Axtmann, Katjana Schwab, Peter Brossart, Steffen Engelhart, Nico T. Mutters, Gabriele Bierbaum, Stefan Janssen, Marijo Parčina

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APPLICATION OF LINEAR AND NONLINEAR EXTRAPOLATIONS IN ANALYZING THE TRENDS OF CHANGES IN FINANCIAL STABILITY by EVGENY Negashev

“…The article offers several algorithms based on application of linear and non-linear extrapolation of financial indicators depending on the amount of the information used for analysis.The practical significance of the proposed algorithms is related to their applicability to estimate the period of time during which the action of negative trends may lead to the crisis in the financial position of a company. …”
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The curvilinear associations between Life’s Crucial 9 and frailty: cross-sectional study of NHANES 2003 - 2023 by Bo Wang, Chunqi Jiang, Ning Wang, Yinuo Qu, Jun Wang, Guang Zhao, Xin Zhang, Xin Zhang

“…To identify inflection points, we applied recursive partitioning algorithms in conjunction with a two-stage linear regression model. …”
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Accuracy and consequences of using trial-of-antibiotics for TB diagnosis (ACT-TB study): protocol for a randomised controlled clinical trial by Neil French, Peter MacPherson, Titus Henry Divala, Katherine L Fielding, Marriott Nliwasa, Chikondi Charity Kandulu, Lingstone Chiume, Sanderson Chilanga, Masiye John Ndaferankhande

“…Standard diagnostic algorithms include ‘trial-of-antibiotics’—empirical antibiotic treatment given to mycobacteriology-negative individuals to treat infectious causes of symptoms other than tuberculosis, as a ‘rule-out’ diagnostic test for tuberculosis. …”
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Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study by Chengkun Sun, Erin Mobley, Michael Quillen, Max Parker, Meghan Daly, Rui Wang, Isabela Visintin, Ziad Awad, Jennifer Fishe, Alexander Parker, Thomas George, Jiang Bian, Jie Xu

“…By uncovering important risk factors and achieving promising predictive performance, this study provides preliminary insights that could inform future efforts toward earlier detection and prevention in younger populations.…”
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Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis by Jinxi Yang, Siyao Zeng, Shanpeng Cui, Junbo Zheng, Hongliang Wang

“…ConclusionsThis study evaluates prediction models constructed using various ML algorithms, with results showing that ML demonstrates high performance in ARDS prediction. …”
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RECOMMENDED TACTICS FOR THE EVALUATION OF POTENTIALLY MALIGNANT DISORDERS IN THE ORAL CAVITY by S.V. Kolomiiets, K.O. Udaltsova, V.I. Shynkevych

“…Those involve whole series of redirections of the patient among dentists themselves, before referring to the really necessary specialist, and it represents a negative item in the organization. In contrast to the algorithm provided by the Ministry of Healthcare of Ukraine, doing an immediate biopsy in patients with a suspicious oral lesion – or referring a patient to a specialist who can do that – remains the only most important recommendation made by the American Dental Association (ADA) in their updated clinical practice guidelines for the evaluation of potentially malignant disorders in the oral cavity. …”
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Spatial and temporal variation of malaria incidence in children under 10 years in a pyrethroid-resistant vector area in southern Benin by Edouard Dangbenon, Mintodê Nicodème Atchadé, Martin C. Akogbéto, Mahouton N. Hounkonnou, Landry Assongba, Hilaire Akpovi, Manisha A. Kulkarni, Natacha Protopopoff, Jackie Cook, Manfred Accrombessi

“…Childhood malaria data were used to identify malaria hotspots according to months of follow-up using spatial scanning methods based on the Kulldoff algorithm. Stability scores were calculated by season to assess incidence heterogeneity. …”
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Evaluating the Pattern of Forest Cover Changes Using Fuzzy Object-Oriented Techniques (Case Study: Kaleybar County) by Majid Pishnamaz Ahmadi, keyvan Mohammadzadeh, seyed Asadolah Hejazi

“…The difference was that forest lands have declined with negative gradient, and consequently, inferior lands have increased with positive gradient. …”
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Implementation of a Kidney Genetic Service Into the Diagnostic Pathway for Patients With Chronic Kidney Disease in Canada by Clara Schott, Monica Arnaldi, Cadence Baker, Jian Wang, Adam D. McIntyre, Samantha Colaiacovo, Sydney Relouw, Gabriela Almada Offerni, Carla Campagnolo, Logan R. Van Nynatten, Ava Pourtousi, Alexa Drago-Catalfo, Victoria Lebedeva, Michael Chiu, Andrea Cowan, Guido Filler, Lakshman Gunaratnam, Andrew A. House, Susan Huang, Hariharan Iyer, Arsh K. Jain, Anthony M. Jevnikar, Khaled Lotfy, Louise Moist, Faisal Rehman, Pavel S. Roshanov, Ajay P. Sharma, Matthew A. Weir, Kendrah Kidd, Anthony J. Bleyer, Robert A. Hegele, Dervla M. Connaughton

“…Testing strategies included gene panels, and if negative or unsuitable, targeted ES analysis. Testing was performed for the detection of variants in genes known to cause CKD. …”
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A mobile app to improve adherence to colorectal cancer screening and post polypectomy surveillance guidelines by María A. Casas, Francisco Schlottmann, Leandro Steinberg, Xavier Bessa, Anna Serradesanferm, Angels Pozo, Sonia Torres, Antoni Castells, Francesc Balaguer, Jaume Grau, Lisandro Pereyra, María Pellisé

“…Abstract Background Despite significant advances in prevention and early detection, colorectal cancer (CRC) is a leading cause of cancer mortality worldwide. …”
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