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This study investigated the formation and molecular interaction mechanism of chestnut starch nanocrystal (SNC)/macadamia protein isolate (MPI) complexes and their application in edible oil-in-water Pickering emulsion (PE). SNC/MPI complexes were characterized by scanning electron microscopy and particle size analyzer. The PEs stabilized by SNC/MPI complexes were characterized by confocal laser scanning microscopy and rheological measurement. The results showed that hydrogen bonds between the two particles significantly affected the secondary structure and assembly of SNC/MPI complexes at the oil/water interface. The optimal mass ratio of SNC to MPI in the complexes with the best stability was determined as 20:1. The formation of edible oil-in-water PEs stabilized by SNC/MPI complexes significantly improved the oxidative and storage stability of different edible oils (olive oil, walnut oil, edible tea oil, and macadamia oil). These different edible oil-in-water PEs stabilized by SNC/MPI could be used as effective carriers of quercetin with their loading rates higher than 93%.

This chapter contains sections titled: Introduction Anatomy and Physiology of the Oral Cavity Local Diseases of the Oral Cavity Permeability of the Buccal and Gingival Mucosa Drug Delivery Systems for the Oral Cavity Formulations Conclusions References

The blood-brain barrier (BBB) is a crucial structure for maintaining homeostasis within the central nervous system, and its integrity plays a pivotal role in the onset and progression of epilepsy. Epileptic seizures can disrupt the molecular architecture of the BBB, including the loss of tight junction proteins, activation of matrix metalloproteinases and dysfunction of supporting cells. Various pathological changes, such as transmembrane transport disorders, upregulation of platelet-derived growth factor receptor β and vascular endothelial growth factor signalling pathways, and activation of astrocytes and microglia, accompany these alterations. These modifications exacerbate the entry of toxic molecules (such as albumin) into the brain parenchyma, triggering neuroinflammation and neuronal damage, thereby establishing a vicious cycle of epilepsy, BBB disruption and recurrent epilepsy. Consequently, repairing or protecting the BBB is a novel strategy for controlling epileptic seizures and treating drug-resistant epilepsy. Consequently, compared with current treatment approaches that primarily focus on suppressing neuronal excitability, repairing or protecting the BBB is a novel strategy for controlling epileptic seizures and treating drug-resistant epilepsy. Drugs such as botulinum, levetiracetam and angiotensin receptor blockers show the potential for BBB protection. The development of nanomaterials can enhance drug concentrations in affected areas, thereby offering new avenues for refractory epilepsy. The present study systematically reviews the critical role of the BBB in the pathogenesis of epilepsy, untangles the complex association between BBB dysfunction and the course of the disease, aims to deepen our understanding of the molecular mechanisms underlying BBB damage, and explores new approaches for epilepsy prevention and treatment from a BBB perspective. This review provides a theoretical foundation and research direction for the development of diagnostic and treatment strategies that are safer and more effective than current standard therapies.

With the advancement of technology, drug delivery systems and molecules with more complex architecture are developed. As a result, the drug absorption and disposition processes after administration of these drug delivery systems and engineered molecules become exceedingly complex. As the pharmacokinetic and pharmacodynamic (PK-PD) modeling allows for the separation of the drug-, carrier- and pharmacological system-specific parameters, it has been widely used to improve understanding of the in vivo behavior of these complex delivery systems and help their development. In this review, we summarized the basic PK-PD modeling theory in drug delivery and demonstrated how it had been applied to help the development of new delivery systems and modified large molecules. The linkage between PK and PD was highlighted. In particular, we exemplified the application of PK-PD modeling in the development of extended-release formulations, liposomal drugs, modified proteins, and antibody-drug conjugates. Furthermore, the model-based simulation using primary PD models for direct and indirect PD responses was conducted to explain the assertion of hypothetical minimal effective concentration or threshold in the exposure-response relationship of many drugs and its misconception. The limitations and challenges of the mechanism-based PK-PD model were also discussed.

Communication is a crucial element of every health care profession, rendering communication skills training in all health care professions as being of great importance. Technological advances such as artificial intelligence (AI) and particularly machine learning (ML) may support this cause: it may provide students with an opportunity for easily accessible and readily available communication training. This scoping review aimed to summarize the status quo regarding the use of AI or ML in the acquisition of communication skills in academic health care professions. We conducted a comprehensive literature search across the PubMed, Scopus, Cochrane Library, Web of Science Core Collection, and CINAHL databases to identify articles that covered the use of AI or ML in communication skills training of undergraduate students pursuing health care profession education. Using an inductive approach, the included studies were organized into distinct categories. The specific characteristics of the studies, methods and techniques used by AI or ML applications, and main outcomes of the studies were evaluated. Furthermore, supporting and hindering factors in the use of AI and ML for communication skills training of health care professionals were outlined. The titles and abstracts of 385 studies were identified, of which 29 (7.5%) underwent full-text review. Of the 29 studies, based on the inclusion and exclusion criteria, 12 (3.1%) were included. The studies were organized into 3 distinct categories: studies using AI and ML for text analysis and information extraction, studies using AI and ML and virtual reality, and studies using AI and ML and the simulation of virtual patients, each within the academic training of the communication skills of health care professionals. Within these thematic domains, AI was also used for the provision of feedback. The motivation of the involved agents played a major role in the implementation process. Reported barriers to the use of AI and ML in communication skills training revolved around the lack of authenticity and limited natural flow of language exhibited by the AI- and ML-based virtual patient systems. Furthermore, the use of educational AI- and ML-based systems in communication skills training for health care professionals is currently limited to only a few cases, topics, and clinical domains. The use of AI and ML in communication skills training for health care professionals is clearly a growing and promising field with a potential to render training more cost-effective and less time-consuming. Furthermore, it may serve learners as an individualized and readily available exercise method. However, in most cases, the outlined applications and technical solutions are limited in terms of access, possible scenarios, the natural flow of a conversation, and authenticity. These issues still stand in the way of any widespread implementation ambitions.

Background The Academic Model Providing Access to Healthcare (AMPATH) has been a model academic partnership in global health for nearly three decades, leveraging the power of a public-sector academic medical center and the tripartite academic mission – service, education, and research – to the challenges of delivering health care in a low-income setting. Drawing our mandate from the health needs of the population, we have scaled up service delivery for HIV care, and over the last decade, expanded our focus on non-communicable chronic diseases, health system strengthening, and population health more broadly. Success of such a transformative endeavor requires new partnerships, as well as a unification of vision and alignment of strategy among all partners involved. Leveraging the Power of Partnerships and Spreading the Vision for Population Health. We describe how AMPATH built on its collective experience as an academic partnership to support the public-sector health care system, with a major focus on scaling up HIV care in western Kenya, to a system poised to take responsibility for the health of an entire population. We highlight global trends and local contextual factors that led to the genesis of this new vision, and then describe the key tenets of AMPATH’s population health care delivery model: comprehensive, integrated, community-centered, and financially sustainable with a path to universal health coverage. Finally, we share how AMPATH partnered with strategic planning and change management experts from the private sector to use a novel approach called a ‘Learning Map®’ to collaboratively develop and share a vision of population health, and achieve strategic alignment with key stakeholders at all levels of the public-sector health system in western Kenya. Conclusion We describe how AMPATH has leveraged the power of partnerships to move beyond the traditional disease-specific silos in global health to a model focused on health systems strengthening and population health. Furthermore, we highlight a novel, collaborative tool to communicate our vision and achieve strategic alignment among stakeholders at all levels of the health system. We hope this paper can serve as a roadmap for other global health partners to develop and share transformative visions for improving population health globally.

In this work, Taylor dispersion analysis and capillary electrophoresis were used to characterize the size and charge of polymeric drug delivery nanogels based on polyglutamate chains grafted with hydrophobic groups of vitamin E. The hydrophobic vitamin E groups self-associate in water to form small hydrophobic nanodomains that can incorporate small drugs or therapeutic proteins. Taylor dispersion analysis is well suited to determine the weight average hydrodynamic radius of nanomaterials and to get information on the size polydispersity of polymeric samples. The effective charge was determined either from electrophoretic mobility and hydrodynamic radius using electrophoretic modeling (three different approaches were compared), or by indirect UV detection in capillary electrophoresis. The influence of vitamin E hydrophobicity on the polymer effective charge has been studied. The presence of vitamin E leads to a drastic decrease in polymer effective charge in comparison to non-modified polyglutamate. Finally, the electrophoretic behavior of polyglutamate backbone grafted with hydrophobic vitamin E (pGVE) nanogels according to the ionic strength was investigated using the recently proposed slope plot approach. It was deduced that the pGVE nanogels behave electrophoretically as polyelectrolytes which is in good agreement with the high water content of the nanogels. Figure Size and charge characterization of polyglutamate-based drug delivery systems by Taylor dispersion analysis, indirect UV detection and the 'Slope-plot' approach

Generic drugs are developed to be bioequivalent to innovator formulation, matching them in dosage form, safety, strength, quality and efficacy. Known as \"interchangeable multi-source pharmaceutical products,\" generics play a crucial role in reducing therapeutic costs and enhancing patient compliance. Over the past decade, generics have accounted for more than 90% of prescriptions in the U.S., which has driven down the average price of these drugs to nearly match production costs once market competition grows. Simple generics of small-molecule drugs are often produced through trial and error based on existing data, but complex generics require advanced techniques like reverse engineering to replicate the brand drug's release profile. These complex generics include sophisticated drug delivery forms that ensure the therapeutic agent is released gradually, maximizing effectiveness. Conversely, similar biological products highly similar to approved biologics-undergo rigorous analytical and clinical evaluations due to their complexity and the nature of biologic production. The increased demand for similar biological products is driven by expiring biologic patents, economic incentives, and regulatory advancements, with the market expected to grow significantly by 2026. The Biologic Price Competition and Innovation Act (BPCIA) enable abbreviated approvals for similar biological products, promoting affordability. Despite minor differences from original biologics, similar biological products undergo extensive testing to ensure safety and efficacy, following global regulatory guidelines that emphasize strict quality standards. This framework is essential for expanding patient access to effective therapies for conditions like cancer and autoimmune diseases while supporting healthcare sustainability. Graphical Abstract

The objective of this work was to develop sustained-release Ca-alginate beads of apigenin using sodium alginate, a natural polysaccharide. Six batches were prepared by applying the ionotropic gelation technique, wherein calcium chloride was used as a crosslinking agent. The beads were evaluated for particle size, drug loading, percentage yield, and in vitro drug release. Particle size was found to decrease, and drug entrapment efficiency was enhanced with an increase in the polymer concentration. The dissolution study showed sustained drug release from the apigenin-loaded alginate beads with an increase in the polymer proportion. Based on the dissolution profiles, BD6 formulation was optimized and characterized for FTIR, DSC, XRD, and SEM, results of which indicated successful development of apigenin-loaded Ca alginate beads. MTT assay demonstrated a potential anticancer effect against the breast cancer MCF-7 cell lines. The antimicrobial activity exhibited effective inhibition in the bacterial and fungal growth rate. The DPPH measurement revealed that the formulation had substantial antioxidant activity, with EC50 value slightly lowered compared to pure apigenin. A stability study demonstrated that the BD6 was stable with similar (f2) drug release profiles in harsh condition. In conclusion, alginate-based beads could be used for sustaining the drug release of poorly water-soluble apigenin while also improving in vitro antitumor, antimicrobial, and antioxidant activity.