Genome-level selection in tumors as a universal marker of resistance to therapy by Erez Persi, Praneeth R. Sudalagunta, Yuri I. Wolf, Rafael R. Canevarolo, Mehdi Damaghi, Kenneth H. Shain, Ariosto S. Silva, Eugene V. Koonin

“…We find that, despite the wide variation across patients, the selection strength on tumor genomes in individual patients is stable and largely unaffected by tumor progression in the primary settings, with some cancer-specific signatures detectable in the progression to metastases. …”
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Determining Novice and Expert Status in Human–Automation Interaction Through Hidden Markov Models by Anne French, Mary L. Cummings, Haibei Zhu, Miroslav Pajic

“…Detecting when operators achieve expert proficiency is critical for organizations that employ human–automation interaction (HAI) in operations, particularly in safety-critical settings. …”
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Identifying genetic variants that affect viability in large cohorts. by Hakhamanesh Mostafavi, Tomaz Berisa, Felix R Day, John R B Perry, Molly Przeworski, Joseph K Pickrell

“…Testing viability effects of sets of genetic variants that jointly influence 1 of 42 traits, we detected a number of strong signals. …”
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High prevalence of multidrug-resistant and ESBL-producing bacteria in a primary healthcare facility in Accra, Ghana: A cross-sectional study. by Frank Twum Aboagye, Mawutor Kwame Ahiabu, Hannah Segbefiah Akahoho, Emmanuel Armah, Samuel G Anang, Naa A S Amarteifio, Christabel Amoo, Abena Konadu Owusu-Senyah Enninful, Queenstar Dedei Quarshie, Naa Adjeley Kuma, Judith Wayo, Kantanka Addo-Osafo

“…Antimicrobial resistance (AMR) is a global public health crisis, particularly in low- and middle-income countries where empirical antibiotic use is common. Data on bacterial resistance patterns in primary healthcare settings remain limited in Ghana, impeding effective treatment guidelines and infection control measures. …”
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SARS-CoV-2 introductions to the island of Ireland: a phylogenetic and geospatiotemporal study of infection dynamics by Alan M. Rice, Evan P. Troendle, Stephen J. Bridgett, Behnam Firoozi Nejad, Jennifer M. McKinley, The COVID-19 Genomics UK consortium, National SARS-CoV-2 Surveillance & Whole Genome Sequencing (WGS) Programme, Declan T. Bradley, Derek J. Fairley, Connor G. G. Bamford, Timofey Skvortsov, David A. Simpson

“…As an island with two political jurisdictions―Northern Ireland (NI) and Republic of Ireland (RoI)―and access to detailed passenger travel data, Ireland provides a unique setting to study virus introductions and evaluate public health measures. …”
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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…This result highlights the model’s effectiveness in distinguishing different actions in controlled settings. Tests are also conducted in various natural settings to validate the model’s adaptability to real-world environments, including self-built laboratories, classrooms, and corridors. …”
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Rifampicin-resistant tuberculosis in Fujian Province, Southeast China: a retrospective analysis of drug resistance screening and treatment outcomes, 2019–2024 by Yinfa Zhou, Zhisong Dai, Zhisong Dai, Shufang Lin, Shufang Lin, Daiquan Chen, Jian Lin, Kun Chen, Yongming Lin, Yanqin Deng, Yanqin Deng

“…These findings can guide tailored strategies to further reduce RR-TB burden in similar settings.…”
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A Systematic Review and Meta-Analysis of 16S rRNA and Cancer Microbiome Atlas Datasets to Characterize Microbiota Signatures in Normal Breast, Mastitis, and Breast Cancer by Sima Kianpour Rad, Kenny K. L. Yeo, Fangmeinuo Wu, Runhao Li, Saeed Nourmohammadi, Yoko Tomita, Timothy J. Price, Wendy V. Ingman, Amanda R. Townsend, Eric Smith

“…We also incorporated microbiome data from The Cancer Genome Atlas breast cancer (TCGA-BRCA) cohort to enhance our analyses. …”
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Accurately assessing congenital heart disease using artificial intelligence by Khalil Khan, Farhan Ullah, Ikram Syed, Hashim Ali

“…The study also describes different data sets available for CHD research, discussing their characteristics, collection methods, and relevance to ML applications. …”
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Quantum Variational vs. Quantum Kernel Machine Learning Models for Partial Discharge Classification in Dielectric Oils by José Miguel Monzón-Verona, Santiago García-Alonso, Francisco Jorge Santana-Martín

“…The novelty of this article lies in its application to a real problem, unlike other studies that focus on simulated or theoretical data sets. In addition, a study is carried out on the impact of the number of qubits in QKM, and it is shown that increasing the number of qubits in this model significantly improves the accuracy in the classification of the four binary combinations studied. …”
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Open-source computational pipeline flags instances of acute respiratory distress syndrome in mechanically ventilated adult patients by Félix L. Morales, Feihong Xu, Hyojun Ada Lee, Helio Tejedor Navarro, Meagan A. Bechel, Eryn L. Cameron, Jesse Kelso, Curtis H. Weiss, Luís A. Nunes Amaral

“…This computational pipeline operationalizes the Berlin Definition by detecting bilateral infiltrates from radiology reports and a pneumonia diagnosis from attending physician notes, using interpretable classifiers trained on labeled data. …”
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Frequency of Rh Antigen and Phenotypes in Voluntary Blood Donors by Chandrika Rao, S Shruthi, A Srilekha

“…Specific monoclonal antisera were used to detect major Rh antigens by the conventional tube method. …”
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IT GOVERNANCE IN THE BANKING SECTOR: EVIDENCE FROM ITALY, GERMANY, FRANCE AND SPAIN by Ida Claudia Panetta, Sabrina Leo, Fabrizio Santoboni, Gianfranco Vento

“…Recurring to IT governance transparency, as a key mechanism of corporate governance, we: i) elaborate an original IT governance framework; ii) perform a content analysis on banks public disclosure and a selected number of supervisors’ official documents (2008-2015) to build up IT governance indices; iii) run a multidimensional analysis to detect causal relationships between variables. Our analysis indicates that differences in the level of IT governance disclosure are bank specific and not related to country’s institutional settings; we also observed an increasing consistent attention  of both supervisors and banks to IT issues starting from 2013. …”
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Role of Magnetic Resonance Spectroscopy in Differentiating Neoplastic From Non- Neoplastic Ring Enhancing Brain Lesions Taking Surgical Findings as Gold Standard by Ameet Jesrani, Marya Hameed, Seema Nayab, Asma Javed, Sehrish Sethar

“…Methodology: Total 102 patients with ring enhancing lesions detected on MRI brain contrast studies were selected for this study. …”
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Wearable Sensors for Ensuring Sports Safety in Children with Autism Spectrum Disorder: A Comprehensive Review by Ofir Arbili, Lior Rokach, Seffi Cohen

“…The integration of these technologies into sports settings for children with ASD presents significant potential for improving safety, reducing participation barriers, and enhancing overall well-being. …”
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Integrated assessment and prediction of transcription factor binding. by Andreas Beyer, Christopher Workman, Jens Hollunder, Dörte Radke, Ulrich Möller, Thomas Wilhelm, Trey Ideker

“…Pooling the high-confidence interactions reveals a large network containing 363 significant sets of factors (TF modules) that cooperate to regulate common target genes. …”
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Spatiotemporal dynamics of tumor-CAR T-cell interaction following local administration in solid cancers. by Katherine Owens, Aminur Rahman, Ivana Bozic

“…We demonstrate that the model can reproduce tumor and CAR T-cell data from small imaging studies of local administration of CAR T cells in mouse models. …”
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Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions by Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Mette Sagbakken, Ahmed Ghannam, Fuad H. Abuadas, Joel Somerville, Joel Somerville, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair

“…These efficiencies allowed nursing teams to devote more time to direct patient care and were associated with reductions in burnout and improved workplace morale.Nursing perceptionsAcross practice settings, nursing students and practicing nurses broadly welcomed AI’s ability to streamline workflows and support decision-making, recognizing its potential to elevate patient care and professional practice.Ethical implicationsSimultaneously, nurses voiced significant ethical concerns—chiefly around safeguarding patient data privacy, mitigating algorithmic bias, and preserving the compassionate, human-centered essence of nursing in an increasingly automated environment.Framework and recommendationsThe Nursing AI Integration Roadmap (NAIIR) was developed, emphasizing transformational education, advanced clinical integration, ethical governance, robust organizational infrastructure, participatory design, and rigorous economic evaluation. …”
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Management of Chlamydia Cases in Australia (MoCCA): protocol for a non-randomised implementation and feasibility trial by Rebecca Guy, Marcus Y Chen, Basil Donovan, Jane S Hocking, Natalie Carvalho, Christopher Fairley, Claudia Estcourt, Meredith Temple-Smith, Jane Tomnay, Julie Simpson, David Regan, David Hawkes, Lena Sanci, Jane L Goller, Jacqueline Coombe, Helen Bittleston, Marion Saville, Lara Roeske

“…Deidentified general practice and laboratory data will be used to measure pre-post chlamydia testing, retesting, reinfection and PID rates, and to estimate MoCCA intervention costs. …”
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The use of artificial intelligence to assess diabetic eye disease among the Greenlandic population by Trine Jul Larsen, Maria Bråthen Pettersen, Helena Nygaard Jensen, Michael Lynge Pedersen, Henrik Lund-Andersen, Marit Eika Jørgensen, Stine Byberg

“…For the other comparisons, we achieved a modest performance.Conclusion: We developed an AI model using Greenlandic data, to automatically detect DR on Optos retina fundus images. …”
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