Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer by Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Eltjona Mane, Mariia Ivanova, Giulia Cursano, Francesca Maria Porta, Alberto Concardi, Arnaud Gerard Michel Ceol, Annarosa Farina, Carmen Criscitiello, Giuseppe Curigliano, Elena Guerini-Rocco, Nicola Fusco

“…The DL model exhibited high accuracy in tissue quantification and TP53 status prediction, outperforming traditional methods in terms of precision and efficiency. DL-based approaches offer significant promise for enhancing biomarker testing and precision oncology by reducing intra- and inter-observer variability, but further validation is required to optimize their integration into real-world clinical workflows. …”
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Bioprinting for drug screening: A path toward reducing animal testing or redefining preclinical research? by Harshavardhan Budharaju, Rajendra K. Singh, Hae-Won Kim

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Multi-Objective Optimization Design of Dual-Spindle Component Based on Coupled Thermal–Mechanical–Vibration Collaborative Analysis by Xiaoliang Lin, Yiming Xie, Xiaolei Deng, Jing Tian, Yue Han, Peng Wang

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Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks by Ahmed Mateen Buttar, Zubair Shaheen, Abdu H. Gumaei, Mogeeb A. A. Mosleh, Mogeeb A. A. Mosleh, Indrajeet Gupta, Samah M. Alzanin, Muhammad Azeem Akbar

“…Moreover, performance metrics such as precision, recall, and F1-score were calculated separately, confirming the robustness and efficiency of our model across various evaluation criteria. …”
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Characterization and clustering of intra-day physical activity patterns using accelerometry among sexual and gender minority adults by David Lopez-Veneros, Billy A. Caceres, Kasey Jackman, Joseph A. Belloir, Yashika Sharma, Suzanne Bakken, Ipek Ensari

“…., clusters) of daily PA trajectories among sexual and gender minority (SGM; lesbian, gay, bisexual, transgender, queer) adults using functional latent block models (FLBMs), a co-clustering technique that simultaneously accounts for variation at the individual- and day-level. …”
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Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision by Chenglong Fan, Guanglin Yang, Cheng Li, Jiwen Cheng, Shaohua Chen, Hua Mi

“…The hub genes associated with DN and glycolysis-related clusters were identified via weighted gene co-expression network analysis (WGCNA) and machine learning algorithms. …”
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A Step Forward in Long COVID Research: Validating the Post-COVID Cognitive Impairment Scale by Somayeh Pour Mohammadi, Razieh Etesamipour, Francisco Mercado Romero, Irene Peláez

“…Long COVID, or post-acute sequelae of SARS-CoV-2 infection, includes a variety of enduring symptoms that endure beyond the acute phase of the illness, impacting multiple facets of patients’ psychological and physical health. …”
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Development of a framework for safety and resilience in overhead power cables: Use of a fuzzy inference system for risk and reliability analysis by A.M. Sakura R.H. Attanayake, R.M. Chandima Ratnayake, T. Markeset

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The gene regulatory mechanisms shaping the heterogeneity of venom production in the Cape coral snake by Pedro G. Nachtigall, Brett R. Hamilton, Taline D. Kazandjian, Paolo Stincone, Daniel Petras, Nicholas R. Casewell, Eivind A. B. Undheim

“…Within these venom systems, the molecular, cellular, and morphological components interact and co-evolve to generate distinct, venom phenotypes that are increasingly recognized as models for studying adaptive evolution. …”
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Predictors of length of hospital stay in patients with acute COVID-19 by E. S. Pan’ko, S. V. Zhavoronok, A. M. Solovchuk, S. S. Pan’ko, S. V. Pan’ko

“…Log-regression models were used to assess the suitability of some functional spirometric variables and/or SpO2/FiO2 surrogate oxygenation index to predict the duration of inpatient treatment from the day of the examination (≤ 7 vs. …”
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Marine environmental monitoring programmes in South Africa: a review by L. Hutchings, M. Roberts, H. Verheye

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A dominant-negative mutation of mouse Lmx1b causes glaucoma and is semi-lethal via LDB1-mediated dimerization [corrected]. by Sally H Cross, Danilo G Macalinao, Lisa McKie, Lorraine Rose, Alison L Kearney, Joe Rainger, Caroline Thaung, Margaret Keighren, Shalini Jadeja, Katrine West, Stephen C Kneeland, Richard S Smith, Gareth R Howell, Fiona Young, Morag Robertson, Rob van T' Hof, Simon W M John, Ian J Jackson

“…We show that the null phenotype is rescued more effectively by an Lmx1b transgene than is Icst. Co-immunoprecipitation experiments show that both wild-type and Icst LMX1B are found in complexes with LIM domain binding protein 1 (LDB1), resulting in lower levels of functional LMX1B in Icst heterozygotes than null heterozygotes. …”
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High performance of a low input, mixed western Australian farming system: public policy implications from the case of Tolga farm by Bradley Plunkett, Daniel Roberts, Sudarshan Kharel, Kevin Foster, Tim Overheu, Brendon Savage

“…The business has steadily grown over the past 30 years. Emissions (T/CO2e/ha) are estimated to be low compared to industry benchmarks and evidence exists that the farm’s total organic carbon pool is either reflective of or is as much as 40% higher than the surrounding area.…”
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Steps to Avoid Falls in the Elderly – a TECHnology Enhanced Intervention (SAFE-TECH) study: randomized controlled trial protocol for a community-based, multi-component fall prevent... by Wei Xuan Lai, Vanessa Koh, Jing Wen Goh, Kok Yang Tan, Kai Zhe Tan, Sai G. S. Pai, William R. Taylor, Abhijit Visaria, Navrag B. Singh, Angelique W. M. Chan, David B. Matchar

“…In previous research, exercise interventions have been effective in improving functional outcomes and reducing falls for a broad group of older adults. …”
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Genome-wide identification and salt stress-responsive expression profiling of Aux/IAA gene family in Asparagus officinalis by Shuangshuang Wen, Jiali Ying, Youju Ye, Yunfei Cai, Lebin Li, Renjuan Qian

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FAT1-weighted MRI-guided focused ultrasound thalamotomy for essential tremor by Indran Davagnanam, San San Xu, Thomas Foltynie, Ludvic Zrinzo, Prasad Korlipara, Patricia Limousin, Tabish A Saifee, Jonathan Hyam, Harith Akram, Marie T Krüger, Valentina Lind

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Enterotype-stratified gut microbial signatures in MASLD and cirrhosis based on integrated microbiome data by Heng Yuan, Heng Yuan, Junyu Zhou, Junyu Zhou, Xuangao Wu, Shiwei Wang, Sunmin Park, Sunmin Park

“…Enterotype classification was performed using principal component analysis, with advanced bioinformatics tools, including Linear Discriminant Analysis Effect Size (LEfSe), eXtreme Gradient Boosting (XGBoost), and Deep Cross-Fusion Networks for Genome-Scale Identification of Pathogens (DCiPatho), to identify differentially abundant microbes and potential pathogens. Microbial co-occurrence networks and functional predictions via PICRUSt2 revealed distinct patterns across enterotypes.Results and discussionThe Prevotella-dominated(ET-P) group exhibited a 33% higher cirrhosis rate than the Bacteroides-dominated(ET-B) group. …”
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Modeling of project activities for UAV modernization to conduct swarm drone attack missions by Oleg Fedorovych, Leonid Malieiev, Oleksii Hubka, Andrei Popov

“…The models are intended to optimize new functions related to control, coordination, and navigation, enabling UAVs to perform as part of drone swarms in military missions. …”
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Assessment of infiltration and erosion rates in Mediterranean reservoirs’ catchments through rainfall simulation by Jorge Mongil-Manso, Carmen Patino-Alonso, José Nespereira-Jato, José-Luis Molina, Fernando Espejo, Teresa Diez-Castro, Santiago Zazo, Fernando Silla

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Neutralizing monoclonal antibodies protect against human adenovirus type 55 infection in transgenic mice and tree shrews by Xinglong Liu, Zhengfeng Li, Xiao Li, Xiaoyan Zhang, Yali Zheng, Wan Su, Ying Feng, Yutong Liu, Weixuan Wu, Xikui Sun, Nana Wang, Xianmiao Ye, Zhichao Zhou, Wenkuan Liu, Jun He, Wei Wang, Linbing Qu, Rong Zhou, Ling Chen, Liqiang Feng

“…These mAbs recognized the hyper-variable-region (HVR) 1, 2, or 7 of viral hexon protein, or the fibre knob. …”
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