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Objective: A flexible, efficient, and verifiable pacemaker cell model is essential to the design of real-time virtual hearts that can be used for closed-loop validation of cardiac devices. A new parametric model of pacemaker action potential is developed to address this need.
Methods: The action potential phases are modeled using hybrid automaton with one piecewise-linear continuous variable. The model can capture rate-dependent dynamics, such as action potential duration restitution, conduction velocity restitution, and overdrive suppression by incorporating nonlinear update functions. Simulated dynamics of the model compared well with previous models and clinical data.
Conclusion: The results show that the parametric model can reproduce the electrophysiological dynamics of a variety of pacemaker cells, such as sinoatrial node, atrioventricular node, and the His-Purkinje system, under varying cardiac conditions.
Significance: This is an important contribution toward closed-loop validation of cardiac devices using real-time heart models.
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http://dx.doi.org/10.1109/TBME.2017.2695537 | DOI Listing |
JCO Glob Oncol
May 2025
Department of Obstetrics and Gynaecology, Stanford University School of Medicine, Stanford, CA.
Purpose: Expanding high-risk human papillomavirus (HPV) vaccine coverage in resource-constrained settings is critical to bridging the cervical cancer gap and achieving the global action plan for elimination. Mobile health (mHealth) technology via short message services (SMS) has the potential to improve HPV vaccination uptake. The mHealth-HPVac study evaluated the effectiveness of mHealth interventions in increasing HPV vaccine uptake among mothers of unvaccinated girls aged 9-14 years in Lagos, Nigeria.
View Article and Find Full Text PDFChem Biodivers
September 2025
Zhejiang Provincial Engineering Research Center of New Technologies and Applications for Targeted Therapy of Major Diseases, Laboratory of Anti-Allergy Functional Compounds, College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China.
Autoimmune diseases (AIDs), defined by irregularities in immune system function, pose a substantial health challenge worldwide, impacting millions with persistent and frequently debilitating conditions. Conventional treatments, such as glucocorticoid-based immunosuppressive therapies, are associated with notable drawbacks and limitations. In response to these difficulties, recent scientific efforts have increasingly focused on natural compounds as potential therapeutic agents.
View Article and Find Full Text PDFXenobiotica
September 2025
Department of Pharmacy, Binhai County People's Hospital, Yancheng 224500, China.
To study the effects of calycosin on palmitic acid-induced HepG2 cells, as well as the potential mechanisms of action. Potential targets of calycosin for the alleviation of insulin resistance were predicted by network pharmacology. Glucose concentration in the culture medium was determined by the GOD-POD method.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Max Planck Institute for Solar System Research, Göttingen 37077, Germany.
Turbulent convection governs heat transport in both natural and industrial settings, yet optimizing it under extreme conditions remains a significant challenge. Traditional control strategies, such as predefined temperature modulation, struggle to achieve substantial enhancement. Here, we introduce a deep reinforcement learning (DRL) framework that autonomously discovers optimal control policies to maximize heat transfer in turbulent Rayleigh-Bénard convection.
View Article and Find Full Text PDFProbiotics Antimicrob Proteins
September 2025
Department of Microbiology, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Anaerobic bacteria cause a wide range of infections, varying from mild to severe, whether localized, implant-associated, or invasive, often leading to high morbidity and mortality. These infections are challenging to manage due to antimicrobial resistance against common antibiotics such as carbapenems and nitroimidazoles. The empirical use of antibiotics has contributed to the emergence of resistant organisms, making the identification and development of new antibiotics increasingly difficult.
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