Clinical study on the correlation of early renal damage in patients with hypertension with different salt intake by LU Wen, TAO Hui-lin

“…Urine samples: 24 hours of urine sodium and urine microalbumin were studied and analyzed. Results the four sets of normal data are no different.(P>0.05); In male patients, the salt intake of 11.4(7.4,15.4)g/d was higher than that of female salt intake by 9.2(6.5,12.5)g/d, with statistical difference(P<0.05). …”
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Integrated multi-omics analysis and machine learning refine molecular subtypes and clinical outcome for hepatocellular carcinoma by Chunhong Li, Jiahua Hu, Mengqin Li, Yiming Mao, Yuhua Mao

“…In this study, we utilized a computational framework to integrate multi-omics data from HCC patients using the latest 10 different clustering algorithms, which were then employed a diverse set of 101 combinations derived from 10 different machine learning algorithms to develop a consensus machine learning-based signature (CMLBS). …”
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HOLESOM: Constraining the Properties of Slowly Accreting Massive Black Holes with Self-organizing Maps by Valentina La Torre, Fabio Pacucci

“…Fast and scalable, HOLESOM offers a robust framework for automatically scanning large multiwavelength data sets, making it a valuable tool for unveiling hidden MBH populations in the local Universe.…”
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Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study by Mi-Young Oh, Hee-Soo Kim, Young Mi Jung, Hyung-Chul Lee, Seung-Bo Lee, Seung Mi Lee

“…We developed the EACH score using data from the Seoul National University Hospital cohort and validated it using data from the Boramae Medical Center, which was geographically and temporally different from the development set. …”
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Evaluation of the meningitis surveillance system in Luanda Province, Angola, March 2017 by Dilunvuidi Dievie N’dongala Pode, João Esteves Pires, Felix Balbina Ventura, Regina Muquila António, Olufemi Olamide Ajumobi

“…Overall scores for the system’s attributes were as follows; simplicity-(33.3%), data quality-69.2 % and timeliness 33.3%. There was no evidence to suggest that data from the surveillance system was analysed at the source. …”
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Experiences of men undergoing prostate cancer screening at a hospital in Gauteng, South Africa by Boitumelo M. Komane, Anna Mosalo

“…Screening for prostate cancer is crucial for early detection and to mitigate advanced disease and high-cost treatments. …”
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Evaluation of Treatment Adherence and Uncontrolled Blood Sugar Prevalence in Type 2 Diabetes Mellitus Patients at a Tertiary Care Centre in Rajnandgaon, Chhattisgarh, India. by Rohit David, Daneshwer Singh, Harshal Mendhe

“…Conclusions The considerable prevalence of DPN underscores the critical need for routine screening and early intervention in diabetic care, particularly within resource-constrained settings. Implementing standardized diagnostic tools like the MNSI can facilitate timely detection and management, thereby reducing complications and improving quality of life. …”
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Analysis of Grassland Vegetation Coverage Changes and Driving Factors in China–Mongolia–Russia Economic Corridor from 2000 to 2023 Based on RF and BFAST Algorithm by Chi Qiu, Chao Zhang, Jiani Ma, Cuicui Yang, Jiayue Wang, Urtnasan Mandakh, Danzanchadav Ganbat, Nyamkhuu Myanganbuu

“…In this paper, multi-source remote sensing (RS) data were used to obtain GVC from 2000 to 2023 based on random forest (RF) regression inversion. …”
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Prototype of a Multimodal and Multichannel Electro-Physiological and General-Purpose Signal Capture System: Evaluation in Sleep-Research-like Scenario by Pablo Cevallos-Larrea, Leimer Guambaña-Calle, Danilo Andrés Molina-Vidal, Mathews Castillo-Guerrero, Aluizio d’Affonsêca Netto, Carlos Julio Tierra-Criollo

“…The simultaneous analysis of electrophysiological signals from various physiological systems, such as the brain, skeletal muscles, and cardiac muscles, has become increasingly necessary in both clinical and research settings. However, acquiring multiple modalities of electrophysiological data often necessitates the use of diverse, specialized technological tools, which can complicate the establishment of a comprehensive multimodal experimental setup. …”
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Simulating the methodological bias in the ATLS classification of hypovolemic shock: a critical reappraisal of the base deficit renaissance by M. L. A. Heldeweg, T. T. R. Heldeweg, J. A. H. Stohlmann, P. Freire Jorge, R. Boer, L. A. Schwarte, P. Schober

“…The investigators concluded that BD had higher accuracy to detect the need for early blood product administration. …”
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Identification of Exosome-Associated Biomarkers in Diabetic Foot Ulcers: A Bioinformatics Analysis and Experimental Validation by Tianbo Li, Lei Gao, Jiangning Wang

“…<b>Methods:</b> We analyzed transcriptomic data from GSE134431 (13 DFU vs. 8 controls) as a training set and validated findings in GSE80178 (6 DFU vs. 3 controls). …”
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Underdiagnosis Bias Mitigation With Expert Foundation Model&#x2019;s Representation by Gebreyowhans H. Bahre, Hassan Hamidi, Andrew B. Sellergren, Alessandro Quarta, Leo Anthony Celi, Francesco Calimeri, Laleh Seyyed-Kalantari

“…Vector embeddings (VEmb) are compact data representations learned by large foundation models that have recently gained popularity; their use in place of original data requires less storage and computational power, making them ideal for low-resource computational settings. …”
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Unveiling the room-temperature chemiresistive NH3 adsorption capability of NiO doped PPy nanocomposite with DFT interpretations by Ratindra Gautam, Shivani Chaudhary, Vivek Kumar Nautiyal, Bal Chandra Yadav, Utkarsh Kumar

“…The limit of detection has been calculated by using the linear curve fitting of sensor response and found to be 17.31 ppm. …”
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Comparison of four serological assays for the diagnosis of Chlamydia trachomatis in subfertile women by Claude Muvunyi, Laurens Claeys, Tineka De Sutter, Petra De Sutter, Marleen Temmerman, Lieve Van Renterghem, Geert Claeys, Elizaveta Padalko

“…Conclusion: evaluated ELISAs are comparable to MIFs in the detection of C. trachomatis IgG antibodies and should be preferred for large serological studies, especially in resource poor settings. …”
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Multimodal lightweight neural network for Alzheimer's disease diagnosis integrating neuroimaging and cognitive scores by Bhoomi Gupta, Ganesh Kanna Jegannathan, Mohammad Shabbir Alam, Kottala Sri Yogi, Janjhyam Venkata Naga Ramesh, Vemula Jasmine Sowmya, Isa Bayhan

“…Evaluation on the ADNI dataset demonstrates that Light-Mo-DAD achieves 98.0% accuracy, 98.5% sensitivity, and 97.5% specificity, highlighting its robustness in early AD detection. These results suggest that the proposed architecture not only enhances diagnostic accuracy but also offers strong potential for real-time, mobile deployment in clinical settings, supporting neurologists in efficient and reliable Alzheimer's diagnosis.…”
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Bridging the gap: ctDNA, genomics, and equity in breast cancer care by Julia Aronson, Manasa Bhatta, Lisa A. Carey, Kunal Jobanputra, Gaorav P. Gupta, Yara Abdou

“…These disparities were further compounded by structural barriers such as insurance coverage, geographic access, and limited inclusion in clinical research. Global data from low- and middle-income countries reinforced both the feasibility and the challenges of ctDNA implementation in resource-constrained settings. …”
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Long-term Astrometric Monitoring of the Galactic Center Magnetar PSR J1745−2900 by Geoffrey C. Bower, Adam T. Deller, Paul B. Demorest, Jason Dexter, Andreas Brunthaler, Gregory Desvignes, Ralph P. Eatough, Heino Falcke, Ciriaco Goddi, Michael Kramer, F. Yusef-Zadeh

“…Combined with previously published measurements in 10 epochs that spanned 477 days, the complete data set consists of 25 epochs and 41 independent measurements that span 1984 days. …”
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SmoothDectector: A Smoothed Dirichlet Multimodal Approach for Combating Fake News on Social Media by Akinlolu Oluwabusayo Ojo, Fatma Najar, Nuha Zamzami, Hanen T. Himdi, Nizar Bouguila

“…Our results underscore the potential of integrating a probabilistic algorithm with a deep neural network to address the challenges of fake news detection in a multimodal setting. To support further research and reproducibility, we made the code related to this work publicly accessible.…”
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Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT by Emanuele Trucco, Joanna M Wardlaw, Wenwen Li, Grant Mair, Amos Storkey, Alessandro Fontanella, Antreas Antoniou, Eleanor Platt, Paul Armitage

“…Machine learning techniques can provide rapid automated CT assessment but are usually developed from annotated images which necessarily limits the size and representation of development data sets. We aimed to develop a deep learning (DL) method using CT brain scans that were labelled but not annotated for the presence of ischaemic lesions.Methods We designed a convolutional neural network-based DL algorithm to detect ischaemic lesions on CT. …”
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Assessment of Insulin Resistance using the Glucose Tolerance Insulin Response (GTIR) Test and Homeostasis Model Assessment-Estimated Insulin Resistance (HOMA-IR) Test by Mona F. Kardus, Rana A. Hallak, Ahmed Alakedi, Alaa S Abdulkarim, Shaykhah Alsheddi, Fouzah S. Farhan, Othman Y. Alyousef, Ruwayda A. Alturki, Youssef Kurdi, Salma A. Mewally

“…Design: Retrospective cohort study. Setting: Involved 397 participants referred from outpatient clinics at Dr. …”
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