Current Pharmaceutical Design - Volume 27, Issue 17, 2021

Liposomes are nano-sized formulations having the benefits of site-specificity, biocompatibility, and biodegradability, which make them useful for the therapy and diagnosis of major diseases like cancer. In this review, various synthetic strategies of liposomes and their biomedical application in special concern to cancer are discussed. In context to the biomedical application, this article gives a detailed insight into subcellular targ Read More

Lymphatic system is the secondary circulation system of the human body after the systemic circulation. Various problems, including the first-pass metabolism through oral administration of medicines, can be resolved by lymphatic targeting. Lymphatic absorption has been explored in detail, and studies reveal the improved bioavailability of medicines. In the case of cancer, AIDS, and various other health problems, lymphatic t Read More

Nitric oxide (NO) is a promising pharmaceutical component that has vasodilator, anti-bacterial, and wound healing activities. Chronic ulcers are non-healing disorders that are generally associated with distortion of lower limbs. Among the severe consequence derivatives of these diseases are the problems of chronic wound progression. NO, which is categorized as the smallest gaseous neurotransmitter, has beneficial effects in Read More

Background: Buccal drug delivery is a fascinating research field. Gel-based formulations present potent characteristics as buccal systems since they have great physicochemical properties. Methods: Among the various gels, in situ gels are viscous colloidal systems consisting of polymers; when physiological conditions change (pH, temperature, ion activation), they are transformed into the gel phase. These systems can im Read More

Mycobacterium tuberculosis, because of its unique biochemical behavior and a complex host relationship, successfully evades the host immune system. Therefore, chemotherapy appears to be the first-line option for patients with tuberculosis. However, poor patient compliance with anti-tubercular treatment and variability in anti-tubercular drug pharmacokinetics are among the major driving factors for the emergence of Read More

Background and Introduction: Peripheral neuropathy is one of the most common dose-limiting side effects of solvent-based paclitaxel. Paclitaxel poliglumex (PPX) and NK105 were developed to overcome the paclitaxel induced peripheral neuropathy. However, the incidence of peripheral neuropathy induced by PPX and NK105 was reported higher than solvent-based paclitaxel, but evidence remains inconsistent. Methods: Read More

Aim: A systematic review which aims to assess the evidence regarding the function of the autonomic heart rate regulation system among Parkinson’s disease (PD) patients. The main objective of the study is to compare heart rate variability (HRV) between those with and without PD from published studies. The subgroup analyses aimed to investigate the impact of treatment and disease duration on heart rate variabili Read More

Internet of Things (IoT) emerges as disruptive innovation and development in the fields of drug delivery and biomedical sciences using on-target active transportation, sensors, wearable devices, real-time diagnostics, etc. Semiconducting fluorescence emitting material, quantum dots on integration with IoT displayed interesting results in the healthcare sector, especially in hospitals and pathological laboratories. Presently, Read More

Background: Drug-Target interactions are vital for drug design and drug repositioning. However, traditional lab experiments are both expensive and time-consuming. Various computational methods which applied machine learning techniques performed efficiently and effectively in the field. Results: The machine learning methods can be divided into three categories basically: Supervised methods, Semi-Supervised methods a Read More

Deep learning, an emerging field of artificial intelligence based on neural networks in machine learning, has been applied in various fields and is highly valued. Herein, we mainly review several mainstream architectures in deep learning, including deep neural networks, convolutional neural networks and recurrent neural networks in the field of drug discovery. The applications of these architectures in molecular de novo desi Read More