製剤科学とバイオアベイラビリティのジャーナル

Electrospinning is a versatile technique used to fabricate nanofibrous structures with a wide range of applications, including tissue engineering and drug delivery systems. Polycaprolactone (PCL) is a commonly used polymer in electrospinning due to its biocompatibility, biodegradability, and mechanical properties. However, PCL alone may not possess the desired properties for certain applications. To enhance the functionality of PCL fibres, the addition of excipients such as poloxamers has been explored. Poloxamers are triblock copolymers that exhibit unique physicochemical properties, including thermosensitivity, surfactant properties, and biocompatibility. This article aims to explore the effects of poloxamers as excipients on the physicomechanical properties, cellular biocompatibility, and in vitro drug release of electrospun PCL fibres.

Cancer is one of the leading causes of death worldwide, with millions of people affected by this devastating disease each year. While significant progress has been made in the field of cancer treatment, there is still a pressing need for more effective and targeted therapeutic strategies. In recent years, iron chelation and total bio-based materials have emerged as promising approaches for drug delivery in the battle against cancer. This article will explore the potential of these innovative techniques and their impact on improving cancer treatment outcomes. Iron is an essential element for normal cellular function, but it can also play a role in cancer progression. Tumor cells often have an increased demand for iron to support their rapid growth and proliferation. Therefore, targeting iron metabolism in cancer cells has become an attractive strategy for therapeutic intervention. Iron chelation refers to the process of binding and removing excess iron from the body. By reducing the availability of iron, chelation therapy can hinder tumor growth and enhance the effectiveness of traditional cancer treatments.

Machine learning has emerged as a powerful tool in various industries, revolutionizing the way we analyze data and make predictions. Over the past few years, significant advancements have been made in machine learning techniques, algorithms, and applications. This article provides a comprehensive review of recent developments in machine-learning-based technologies, highlighting the key advancements and their impact on various domains. Deep learning has been at the forefront of machine learning research, enabling the development of sophisticated neural networks capable of solving complex problems. Recent developments in deep learning have focused on improving model architectures, training algorithms, and computational efficiency. Notably, advancements in Convolutional Neural Networks (CNNs) have revolutionized computer vision tasks, such as image classification, object detection, and image generation. The introduction of architectures like ResNet, Inception, and Transformer models has significantly improved accuracy and efficiency in these areas.

Formulation science is a multidisciplinary field that plays a pivotal role in pharmaceutical development. It encompasses the art and science of designing drug delivery systems to optimize therapeutic outcomes while ensuring patient compliance and safety. The primary goal of formulation scientists is to improve the bioavailability of drugs, enabling them to reach their intended targets efficiently and effectively. In recent years, several groundbreaking trends have emerged in formulation science, revolutionizing drug delivery methods and enhancing the overall bioavailability of medications. This article explores some of the current trends shaping the industry and their potential impact on healthcare. Nanotechnology has revolutionized the field of formulation science, particularly in the realm of drug delivery. The development of nanocarriers, such as liposomes, micelles, and nanoparticles, has enabled the targeted delivery of drugs to specific tissues or cells. These nanocarriers can protect the drug from degradation, improve solubility, and enhance permeation through biological barriers, all of which contribute to improved bioavailability.