Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025 by Kelemua Aschale Yeneakal, Gizaw Hailiye Teferi, Temesgen T. Mihret, Abraham Keffale Mengistu, Sefefe Birhanu Tizie, Maru Meseret Tadele

“…The majority age group was between 40 and 59 years (n = 2152) 46.38% and 98.1% of patients had good adherence while 1.9% had poor adherence. Among the machine learning models tested, the gradient boosting algorithm performed better than all other algorithms with (Accuracy = 0.78, Sensitivity = 0.76, F1score = 0.78, AUC = 0.76). …”
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Conv1D-LSTM: Autonomous Breast Cancer Detection Using a One-Dimensional Convolutional Neural Network With Long Short-Term Memory by Mitanshi Rastogi, Meenu Vijarania, Neha Goel, Akshat Agrawal, Cresantus N. Biamba, Celestine Iwendi

“…Breast cancer is an increasingly serious problem in contemporary society, with millions of women and men worldwide affected by the disease. While traditional cancer detection strategies are at times effective, they typically require costly and time-intensive methods for implementation. …”
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Measuring River Surface Velocity Using UAS‐Borne Doppler Radar by Zhen Zhou, Laura Riis‐Klinkvort, Emilie Ahrnkiel Jørgensen, Christine Lindenhoff, Monica Coppo Frías, Alexander Rietz Vesterhauge, Daniel Haugård Olesen, Makar Lavish, Alexey Dobrovolskiy, Alexey Kadek, Niksa Orlic, Tomislav Grubesa, Luka Drmić, Henrik Grosen, Sune Nielsen, Daniel Wennerberg, Viktor Fagerström, Jenny Axén, David Gustafsson, Peter Bauer‐Gottwein

“…Results indicate that river flow velocity and propwash velocity caused by the drone can be found in XS where the flow velocity is low, while the drone‐induced propwash velocity can be neglected in fast and highly turbulent flows. …”
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Mosquito breeding water parameters are important determinants for Microsporidia MB in the aquatic stages of Anopheles species by Esinam A. Akorli, Nana Efua Andoh, Richardson K. Egyirifa, Christopher Dorcoo, Sampson Otoo, Seraphim N. A. Tetteh, Reuben Mwimson Pul, Derrick B. Sackitey, Stephen K. D. Oware, Samuel K. Dadzie, Jewelna Akorli

“…Detection of Microsporidia MB was achieved using quantitative PCR (qPCR), while mosquito species were molecularly identified using short interspersed nuclear elements (SINE), restriction fragment length polymorphism (RFLP) methods, and the ANOSPP algorithm. …”
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Segmentasi Pelanggan B2B dengan Model LRFM Menggunakan Algoritma Fuzzy C-Means pada Rotte Bakery by Dea Putri Ananda, Siti Monalisa

“…The results revealed that there are five optimal clusters for agent customers with a DBI value of 0.57, while outlet customers have four clusters with a DBI value of 0.49. …”
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Partial-linear single-index Cox regression models with multiple time-dependent covariates by Myeonggyun Lee, Andrea B. Troxel, Sophia Kwon, George Crowley, Theresa Schwartz, Rachel Zeig-Owens, David J. Prezant, Anna Nolan, Mengling Liu

“…The PLSI-Cox model reduces the dimensionality of covariates while providing interpretable estimates of their effects. …”
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Integrative analysis of PANoptosis-related genes in diabetic retinopathy: machine learning identification and experimental validation by Han Chen, Han Chen, Enguang Chen, Enguang Chen, Ting Cao, Feifan Feng, Min Lin, Xuan Wang, Yu Xu

“…Three machine learning algorithms—LASSO regression, Random Forest, and SVM-RFE—were employed to identify hub genes. …”
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COVID-19: WAYS TO IMPROVE TREATMENT OUTCOMES. TRANSFORMING PERCEPTIONS ABOUT INTENSIVE CARE OF CORONAVIRUS INFECTION by Dmytro D. Diachuk, Oleg L. Ziukov, Volodymyr I. Cherniy, Oleksandr V. Naumenko, Anatolii I. Denysenko

“…Almost all hospitalized patients are recommended to undergo oxygen therapy, while the WHO recommended extracorporeal membrane oxygenation for patients with refractory hypoxemia. …”
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Associations between within-day step accumulation pattern and clinical measures of physical function: a change-for-change analysis of longitudinal data in community-dwelling older... by Melvyn Hillsdon, Alexander Schoenfelder, Brad Metcalf, Afroditi Stathi, Max J. Western, Joss Langford

“…Abstract Background While daily step count and stepping pace are linked to various health benefits in older adults, less is known about how the pattern of step accumulation affects physical function. …”
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Cost-effectiveness of FIT and a FIT-based model to optimise symptomatic diagnosis of colorectal cancer: health economic modelling for the COLOFIT project by Linda Sharp, Sarah Bailey, Colin Rees, Willie Hamilton, Dawn Craig, Joe West, David Humes, Gary Abel, James Turvill, Brian Nicholson, Chloe Thomas, Jim Chilcott, Colin Crooks, Olena Mandrik, John Whelpton

“…Introduction Fecal immunochemical testing (FIT) at a threshold of 10 mg haemaglobin (Hb)/g is used in English primary care to prioritise urgent referral for colorectal cancer (CRC) investigation in symptomatic patients. The COLOFIT algorithm, based on FIT score, age, sex and blood results, performs better than FIT alone for identifying CRC. …”
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18F-FDG dose reduction using deep learning-based PET reconstruction by Ryuji Akita, Komei Takauchi, Mana Ishibashi, Shota Kondo, Shogo Ono, Kazushi Yokomachi, Yusuke Ochi, Masao Kiguchi, Hidenori Mitani, Yuko Nakamura, Kazuo Awai

“…Abstract Background A deep learning-based image reconstruction (DLR) algorithm that can reduce the statistical noise has been developed for PET/CT imaging. …”
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Current Topics on the Integration of Artificial Intelligence in the Histopathological and Molecular Diagnosis of Uveal Melanoma by Serena Salzano, Giuseppe Broggi, Andrea Russo, Teresio Avitabile, Antonio Longo, Rosario Caltabiano, Manuel Mazzucchelli

“…Particular focus is placed on its role in histopathological assessments of UM, where algorithms facilitate the analysis of whole-slide images (WSIs). …”
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Complete blood count reference intervals from a healthy adult urban population in Kenya. by Geoffrey Omuse, Daniel Maina, Jane Mwangi, Caroline Wambua, Kiran Radia, Alice Kanyua, Elizabeth Kagotho, Mariza Hoffman, Peter Ojwang, Zul Premji, Kiyoshi Ichihara, Rajiv Erasmus

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Clinicopathological characteristics and outcomes of rare histologic subtypes of gallbladder cancer over two decades: A population-based study. by Sandeep Samuel, Sarbajit Mukherjee, Nischala Ammannagari, Venkata K Pokuri, Boris Kuvshinoff, Adrienne Groman, Charles M LeVea, Renuka Iyer

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Mapping clay fraction oxides in Brazil using Earth observation strategy by Jorge Tadeu Fim Rosas, José A.M. Demattê, Nícolas Augusto Rosin, Raul Roberto Poppiel, Nélida E.Q. Silvero, Merilyn Taynara Accorsi Amorim, Heidy S. Rodríguez-Albarracín, Letícia Guadagnin Vogel, Bruno dos Anjos Bartsch, José João Lelis Leal de Souza, Lucas de Carvalho Gomes, Danilo César de Mello

“…The best predictions were observed for Fe2O3 in the 0–20 cm layer (RMSE = 49.8 g.kg−1, RPIQ = 1.82, and R2 = 0.62), while the worst predictions were for SiO2 in the 80–100 cm layer (RMSE = 65.3 g.kg−1, RPIQ = 1.50 and R2 = 0.22). …”
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The association between ozone exposure and blood pressure in a general Chinese middle-aged and older population: a large-scale repeated-measurement study by Chen Tang, Yiqin Zhang, Jingping Yi, Zhonghua Lu, Xianfa Xuan, Hanxiang Jiang, Dongbei Guo, Hanyu Xiang, Ting Wu, Jianhua Yan, Siyu Zhang, Yuxin Wang, Jie Zhang

“…STB and LDL mediated these effects, while TC and TG played mitigating roles. Conclusions Short-term O3 exposure is negatively associated with BP in middle-aged and older Chinese individuals. …”
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Marine-Derived Peptides from <i>Phaeodactylum tricornutum</i> as Potential SARS-CoV-2 Mpro Inhibitors: An <i>In Silico</i> Approach by David Mauricio Cañedo-Figueroa, Marco Antonio Valdez-Flores, Claudia Desireé Norzagaray-Valenzuela, Loranda Calderón-Zamora, Ángel Radamés Rábago-Monzón, Josué Camberos-Barraza, Alma Marlene Guadrón-Llanos, Alberto Kousuke De la Herrán-Arita, Verónica Judith Picos-Cárdenas, Alejandro Camacho-Zamora, Alejandra Romero-Utrilla, Carlos Daniel Cordero-Rivera, Rosa María del Ángel, Moisés León-Juárez, José Manuel Reyes-Ruiz, Carlos Noe Farfan-Morales, Luis Adrián De Jesús-González, Juan Fidel Osuna-Ramos

“…LigPlot+ was used to assess molecular interactions, while NetMHCpan 4.1 and AVPpred evaluated immunogenicity and antiviral potential, respectively. …”
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Research on Model Reconstruction Methods for Partial Point Cloud Information Loss by Zhengping CHANG, Guoshuai YUAN, Jiuhua LI, Yang ZHAO, Zhongqi WANG

“…Finally, the scanned point cloud carried on region partition, and the Interactive Closest Point (ICP) algorithm was utilized to match the scanned area with the theoretical model. …”
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Epidemiology of inflammatory bowel disease in Mexico and Colombia: Analysis of health databases, mathematical modelling and a case-series study. by Agustín Ciapponi, Sacha Alexis Virgilio, Mabel Berrueta, Natalie Claire Soto, Álvaro Ciganda, Moisés Freddy Rojas Illanes, Briseida Rubio Martinez, Johana Gamba, Carlos Arturo González Salazar, José Nicolás Rocha Rodríguez, Bruno Scarpellini, Ana María Bravo Perdomo, Gerardo Machnicki, Leandro Aldunate, Juan De Paula, Ariel Bardach

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Multimorbidity clusters and their associations with health-related quality of life in two UK cohorts by Lewis Steell, Stefanie J. Krauth, Sayem Ahmed, Grace O. Dibben, Emma McIntosh, Peter Hanlon, Jim Lewsey, Barbara I. Nicholl, David A. McAllister, Susan M. Smith, Rachael Evans, Zahira Ahmed, Sarah Dean, Colin Greaves, Shaun Barber, Patrick Doherty, Nikki Gardiner, Tracy Ibbotson, Kate Jolly, Paula Ormandy, Sharon A. Simpson, Rod S. Taylor, Sally J. Singh, Frances S. Mair, Bhautesh D. Jani, the PERFORM research team

“…Hypertension was prominent across clusters in all ages, while depression featured in younger groups and painful conditions/arthritis were common in clusters from middle-age onwards. …”
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