In Silico Identification of Promising PDE5 Inhibitors Against Hepatocellular Carcinoma Among Natural Derivatives: A Study Involving Docking and ADMET Analysis.

Hepatocellular carcinoma (HCC) represents a significant worldwide health challenge due to its high mortality rate, underscoring the need for advanced therapeutic strategies. This study employs a computer-based method to identify potential phosphodiesterase 5 (PDE5) inhibitors from a library of approved IBS_Scaff 532 natural compounds. PDE5 inhibitors have gained attention for their potential anti-tumor effects.

Development, Optimization and Evaluation of Mucoadhesive Microspheres of Amoxicillin for the Treatment of H.Pylori by Full Factorial Design.

Objective: This work is aimed to formulate and evaluate Mucoadhesive Microspheres contain Amoxicillin for the effective use in the treatment of H.Pylori.

Methods: Microspheres were prepared using Emulsification-cross linking technique.

Mucoadhesive Microspheres: A Promising Delivery System for Helicobacter Pylori (H. pylori) Treatment.

A major worldwide health problem, Helicobacter Pylori (H. pylori) infection is associated with a number of gastrointestinal disorders, such as gastric cancer and peptic ulcers. The shortcomings of traditional treatment plans often include adverse effects, low patient compliance, and the emergence of antibiotic resistance.

Effect of Formulation Parameters on Enalapril Maleate Mucoadhesive Buccal Tablet Using Quality by Design (QbD) Approach.

The buccal route has great prospects and possible benefits for the administration of drugs systemically. The present study involves designing, developing and optimising the buccal tablet formulation of Enalapril Maleate (EM) by using the QbD approach. We prepared the EM buccal tablets using the dry granulation method.

A Comprehensive Review: Personalized Medicine for Rare Disease Cancer Treatment.

In the United States, cancer is one of the major causes of death. In 2010 alone, over 1.5 million fresh instances were recorded and over 0.

Mucoadhesive Drug Delivery System and There Future Prospective: Are a Promising Approach for Effective Treatment?

Mucoadhesive polymers are a new and exciting development in drug delivery systems that have the potential to significantly increase therapeutic efficacy. These polymers stick to mucosal surfaces, increasing the amount of time that medications stay at the site of absorption and improving their bioavailability. These mechanisms include longer contact times with the mucosal surface, better drug solubility, and defence against enzymatic degradation of pharmaceuticals.

A systematic review on diabetic retinopathy detection and classification based on deep learning techniques using fundus images.

Diabetic retinopathy (DR) is the leading cause of visual impairment globally. It occurs due to long-term diabetes with fluctuating blood glucose levels. It has become a significant concern for people in the working age group as it can lead to vision loss in the future.

Exploring the Potential of Natural Products as FoxO1 Inhibitors: an Approach.

FoxO1, a member of the Forkhead transcription factor family subgroup O (FoxO), is expressed in a range of cell types and is crucial for various pathophysiological processes, such as apoptosis and inflammation. While FoxO1's roles in multiple diseases have been recognized, the target has remained largely unexplored due to the absence of cost-effective and efficient inhibitors. Therefore, there is a need for natural FoxO1 inhibitors with minimal adverse effects.

Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques.

Nowadays, healthcare is the prime need of every human being in the world, and clinical datasets play an important role in developing an intelligent healthcare system for monitoring the health of people. Mostly, the real-world datasets are inherently class imbalanced, clinical datasets also suffer from this imbalance problem, and the imbalanced class distributions pose several issues in the training of classifiers. Consequently, classifiers suffer from low accuracy, precision, recall, and a high degree of misclassification, etc.

PCA-Based Incremental Extreme Learning Machine (PCA-IELM) for COVID-19 Patient Diagnosis Using Chest X-Ray Images.

Novel coronavirus 2019 has created a pandemic and was first reported in December 2019. It has had very adverse consequences on people's daily life, healthcare, and the world's economy as well. According to the World Health Organization's most recent statistics, COVID-19 has become a worldwide pandemic, and the number of infected persons and fatalities growing at an alarming rate.

Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model.

In today's world, diabetic retinopathy is a very severe health issue, which is affecting many humans of different age groups. Due to the high levels of blood sugar, the minuscule blood vessels in the retina may get damaged in no time and further may lead to retinal detachment and even sometimes lead to glaucoma blindness. If diabetic retinopathy can be diagnosed at the early stages, then many of the affected people will not be losing their vision and also human lives can be saved.

Big data integration enhancement based on attributes conditional dependency and similarity index method.

Big data has attracted a lot of attention in many domain sectors. The volume of data-generating today in every domain in form of digital is enormous and same time acquiring such information for various analyses and decisions is growing in every field. So, it is significant to integrate the related information based on their similarity.

Chemical and biological diversity in fourteen selections of four Ocimum species.

Biomass, essential oil yield, essential oil composition diversity, and antibacterial and antifungal activities of 14 selections of 4 Ocimum species [Ocimum basilicum L. (selections: T1-T10), O. gratissimum L.

Essential oil yield and chemical composition changes during leaf ontogeny of palmarosa (Cymbopogon martinii var. motia).

Changes in leaf biomass yield, essential oil yield, and chemical composition were investigated during leaf ontogeny of palmarosa {Cymbopogon martinii (Roxb.) Wats. var.