Analysis of the effectiveness of selection of women for coronarography in real clinical practice by N. V. Izmozherova, A. A. Popov, V. E. Sherstobitov

“…Severe coronary atherosclerosis was associated with absence of negative or doubtful results, whereas intact coronary vessels, negative and questionable results revealed more than half of the women. …”
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Reconstruction for Scanning LiDAR with Array GM-APD on Mobile Platform by Di Liu, Jianfeng Sun, Wei Lu, Sining Li, Xin Zhou

“…The position, attitude, and scanning angles provided by POS and angular encoders are used to reduce or eliminate the dynamic effects in multiple-laser-pulse detection. Then, an optimization equation is constructed based on the negative-binomial distribution detection model of GM-APD. …”
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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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Robust Predictive Maintenance for Robotics via Unsupervised Transfer Learning by Arash Golibagh Mahyari, Thomas locher

“…The deployment of the proposed algorithm on real-world datasets demonstrates that the algorithm can not only distinguish between tasks and mechanical condition change, it further yields a sharper deviation from the trained model in case of a mechanical condition change and thus detects mechanical issues with higher confidence.…”
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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

“…Decreasing MMP-8 and sRANKL levels against a background of increased osteocalcin confirms the effectiveness of prosthetic therapy and allows for the early detection of positive dynamics in bone remodeling processes. …”
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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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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

“…Below these thresholds, both LE8 and LC9 demonstrated a significant negative association with frailty. However, above these points, the strength of the negative correlation was somewhat reduced but remained statistically significant. …”
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Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach by Madiha Khalid, Muhammad Faheem Mushtaq, Urooj Akram, Mejdl Safran, Sultan Alfarhood, Imran Ashraf

“…The proposed approach helps detect and prevent the spread of deepfake content, keeping people and organizations safe from its negative effects. …”
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Microc alcification Segmentation Using Modified U-net Segmentation Network from Mammogram Images by Md Shamim Hossain

“…The suspicious regions are detected using fuzzy C-means clustering algorithm and divided them into negative and positive patches. …”
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Exploring Machine Learning Methods for Aflatoxin M1 Prediction in Jordanian Breast Milk Samples by Abdullah Aref, Eman Omar, Eman Alseidi, Nour Elhuda A. Alqudah, Sharaf Omar

“…The presence of aflatoxin M1 in breast milk poses a serious risk to the health of infants because of its potential to cause cancer and have negative effects on development. Detecting AFM1 in milk samples using conventional methods is often time-consuming and may not provide real-time monitoring capabilities. …”
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Multi-source localization with binary sensor networks by CHENG Long1, WU Cheng-dong1, ZHANG Yun-zhou1, JIA Zi-xi1, JI Peng1

“…A new multi-source detection model was proposed based on Neyman-Pearson criterion to reduce the computa-tional complexity caused in the multi-source localization.The Fisher criterion was employed to divide sensors into two parts,where two sources were present and each part corresponds to one of the sources.The WSNAP（weighted subtract on negative add on positive） multi-source location algorithm was applied to localize the multiple sources.The simulation results show that Fisher criterion is able to divide the alarmed sensor into two parts with relatively higher accuracy.The proposed WSNAP has better estimation accuracy than AP（add positive） algorithm and CE（centroid estimator） algorithm under the circumstance of lower computation complexity.Finally,the results are verified using the database of distributed wireless sensor networks.…”
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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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Klasifikasi Tingkat Stress dari Data Berbentuk Teks dengan Menggunakan Algoritma Support Vector Machine (SVM) dan Random Forest by Naufal Fathirachman Mahing, Alifi Lazuardi Gunawan, Ahmad Foresta Azhar Zen, Fitra Abdurrachman Bachtiar, Satrio Agung Wicaksono

“…High levels of stress can have a negative impact on human health. Early detection of stress is something that is very important to do. …”
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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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Diagnosis of Functional Gastrointestinal Disorders and Choice of Treatment Regimen in Constipation Patients by I. V. Maev, A. N. Kazyulin, Yu. A. Kucheryavy, S. V. Cheryomushkin, A. Yu. Goncharenko, А. V. Gilyuk

“…Functional constipation commonly afflicts different ages and negatively impacts the quality of life. The current diagnostic algorithm in chronic constipation includes the disease identification according to Rome Criteria IV, red-flag symptom detection and instrumental laboratory examination. …”
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Hyperspectral Imaging and Machine Learning for Diagnosing Rice Bacterial Blight Symptoms Caused by <i>Xanthomonas oryzae</i> pv. <i>oryzae</i>, <i>Pantoea ananatis</i> and <i>Enter... by Meng Zhang, Shuqi Tang, Chenjie Lin, Zichao Lin, Liping Zhang, Wei Dong, Nan Zhong

“…This study explores the potential of combining hyperspectral imaging (HSI) with machine learning for the rapid and accurate detection of rice bacterial blight symptoms caused by various pathogens. …”
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Methodological aspects of diagnostics and minimal residual disease monitoring in infant acute leukemias by G. A. Tsaur, A. M. Popov, L. G. Fechina, S. A. Rumyantsev

“…Based on our own experience we made algorithm for detection of MRD in this group of patients. …”
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Development of an on-board system for diagnosing the technical condition of the tread surface of the wheels of wagons by I. A. Gadzhiev

“…A mathematical model of diagnostic signals for local wheel wear has been constructed, and an algorithm for their detection has been developed based on the results. …”
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Dependence of serum procalcitonin level on microflora in the infection site in chronic osteomyelitis by Irina V. Shipitsyna, Elena V. Osipova, Alexander L. Shastov

“…Introduction The study of procalcitonin (PCT) levels simultaneously with blood cultures for sterility is an important addition to the diagnostic algorithm for chronic osteomyelitis detection. Purpose of work is to study the relationship of serum PCT with the microflora isolated from blood, wounds and fistulas in patients with chronic osteomyelitis. …”