Kevin R. Loughlin

Canadian Journal of Urology, Vol.33, No.4, pp. 729-730, 2026, DOI:10.32604/cju.2026.085422 - 21 August 2026

Abstract This article has no abstract. More >

Shounak Mandal¹, Subhadip Pati^1,#, Nirmallyadeb Ray^1,#, Bipasha Guha Roy^2,#, Priyanka Saha³, Deepsubhra Guha Roy^2,*

Digital Engineering and Digital Twin, Vol.4, pp. 27-47, 2026, DOI:10.32604/dedt.2026.081859 - 14 August 2026

Abstract HealthyBrain is a scalable, interoperable, and intelligent Remote Patient Monitoring (RPM) platform built on Internet of Things (IoT) technologies and a modular microservices architecture. The system integrates wearable IoT devices, MQTT (Message Queuing Telemetry Transport)-based lightweight messaging, and high-throughput real-time data streaming via Apache Kafka. Edge-side preprocessing enables low-latency analytics, while machine learning-based anomaly detection models facilitate early identification of critical health events. To ensure clinical interoperability, the platform adheres to the HL7 FHIR (Fast Healthcare Interoperability Resources) standard for electronic health record exchange. The system’s novel contribution lies in the unified integration of edge… More >

Hashim Ali^*

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.087214 - 13 August 2026

Abstract Intensive care unit (ICU) time series are irregular, incomplete, and computationally demanding to model at high temporal resolution. Dense Transformer attention captures long-range dependencies but evaluates all pairwise interactions, including many stable or clinically weak measurements. This study presents Sparse Physio-Attention, a physiology-guided Transformer that retains critical-range violations, patient-relative deviations, informative missingness patterns, and task-relevant variables before sparse attention is computed. Dynamic routing subsequently removes weak attention edges, and a late-fusion adapter incorporates static electronic health record context. The analysis included 25,368 eligible MIMIC-IV ICU stays, of which 2740 were sepsis positive. On the held-out… More >

Nourah Fahad Janbi^*

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.084270 - 13 August 2026

Abstract Automatic pain assessment from speech is an emerging approach for non-invasive and objective healthcare monitoring. However, many existing methods are evaluated on single datasets or under controlled conditions, which limits their robustness under diverse real-world conditions. This paper presents a lightweight, end-to-end deep learning framework for speech-based pain level classification that explicitly targets multi-dataset robustness assessment. The proposed approach uses log-Mel spectrograms with an EfficientNetV2B0 backbone to learn discriminative acoustic features without relying on handcrafted feature engineering or multi-stage pipelines. The model is evaluated on heterogeneous datasets, including clinical recordings, controlled experimental data, and a More >

Whitnee Hogan^1,2,*, Thomas S. Przybycien^3,4, Anita J. Moon-Grady^3,4

Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.085038 - 31 July 2026

Abstract Improvements in fetal cardiac imaging have highlighted the need for large, multidisciplinary collaborations to further advance fetal cardiovascular care. The Fetal Cardiac Intervention Registry (IFCIR), established in 2011, aims to improve outcomes in fetuses with congenital heart disease (CHD) considered amenable to fetal cardiac intervention (FCI). The registry compiles data from multiple international centers to better define indications, selection criteria, procedural techniques, complications, and outcomes of FCI. The Fetal Heart Society (FHS), founded in 2014, is a non-profit organization dedicated to advancing the understanding of in utero cardiovascular physiology through collaborative research, education and mentorship. The… More >

Luciane Alves da Rocha Amorim¹, Edward Araujo Júnior^2,3,*

Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.080881 - 31 July 2026

Abstract The diagnosis of congenital heart disease (CHD) brings profound uncertainty and emotional distress to families, yet the spiritual dimension of this experience is often overlooked in routine counseling. Based on a narrative review of the literature and our group’s prior scoping work, this commentary proposes a practical, ethically grounded framework for integrating spiritual awareness into fetal and pediatric CHD counseling. We distinguish spirituality from related constructs, religiosity, coping, resilience, and cultural values, and discuss both its potential benefits (e.g., fostering resilience, supporting decision-making) and risks (e.g., spiritual distress, fatalism, conflict with medical recommendations). Practical guidance… More >

Tanzila Saba¹, Muhammad Mujahid¹, Faten S. Alamri^2,*, Roaa Khalil Mohamed Ali Abed³

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.084816 - 27 July 2026

Abstract In the era of artificial intelligence, pattern recognition techniques have become fundamental in advancing medical image processing, diagnosis, and automated disease classification systems. Among various clinical challenges, breast cancer is the second most dangerous leading cause of death in women worldwide. Early and accurate detection of breast cancer is crucial to develop advanced diagnostic methods to control further loss or reduce mortality rates. This study proposes a dynamic graph multi-scale network for breast cancer diagnosis, integrated with multi-scale convolutional feature extraction, a squeeze-and-excitation block, and a graph convolutional network to jointly model local spatial features… More > Graphic Abstract

Manal Ghannam¹, Bilgen Kaymakamzade^1,2, Muhammad Farman^1,3,4, Kottakkaran Sooppy Nisar^5,*, Mohammed Altaf Ahmed⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.081075 - 27 July 2026

Abstract In Vitro Fertilization (IVF) has been a major medical advancement in the field of fertility treatment. It has helped millions of individuals and couples overcome infertility by providing a workable option. It involves removing eggs from the ovaries of a female, fertilizing those eggs with male sperm in a monitored lab condition. In this work, we developed a new model to show the success of In Vitro Fertilization rates in women through a fractional-order compartmental modeling framework by using real data. The developed model is analyzed statistically, and the biological feasibility of the model. The Lipschitz condition,… More >

Malika Abid¹, Mohammed Kamel Benkaddour¹, Mohamed Benouis², Amine Khaldi¹, Monalisa Sahu³, Aditya Kumar Sahu^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.081055 - 27 July 2026

Abstract Federated Learning (FL) is a cutting-edge method in the medical imaging field that allows hospitals to collaboratively build models without revealing patient data. Nevertheless, FL is still vulnerable to numerous security and privacy issues, including, but not limited to, data poisoning, Byzantine attacks, and inference attacks. The existing literature has only partly dealt with this topic by focusing either on particular threats or on mitigation strategies, thus leaving the overall comprehension of the problems and their solutions in medical imaging as inadequate. The main threats to FL are systematically classified in this systematic review, with… More >

Rosemary C. Muomah¹, Theclar O. Iyidobi¹, Sampson K. Nwonyi², JohnBosco C. Chukwuorji^3,4, Tobias C. Obi^5,*, Jaclyn I. Odinka⁶, Kennedy U. Amadi¹, Paul C. Odinka¹

Journal of Psychology in Africa, Vol.36, No.3, pp. 397-404, 2026, DOI:10.32604/jpa.2026.079145 - 30 June 2026

Abstract Traumatic experiences are known to have impacts on well-being; however, factors that may shape or moderate these effects remain underexplored, particularly within caregiving contexts. This study investigated the association between secondary traumatic stress and life satisfaction among informal caregivers in subacute hospital care, as well as the moderating role of positive religious coping and gender in this relationship. A total of 194 informal caregivers (68 males, 126 females; aged 15–70 years, M = 31.5, SD = 8.9) of inpatients at a Nigerian orthopaedic hospital participated in the study. Data were collected using the Secondary Traumatic Stress… More >