medical research

Published Subscription Original Research 1 Jul 2026

Gastro Retentive Drug Target System: Its Needs, Advantages, Limitation and Approaches

By Shyam Parbata, Sneha Ghodkeb, Pranjal Chougule, Anuja Nirwane, Nilesh Chougule

Abstract: Background: Gastro retentive drug delivery systems (GRDDS) address limitations of oral therapy for drugs with poor solubility, instability at intestinal pH, or narrow absorption windows by prolonging gastric residence and increasing contact with the gastric mucosa. Objectives: To review GRDDS approaches—floating systems, mucoadhesive systems, and super porous hydrogels—with emphasis on formulation strategies and polymer–excipient selection to enhance gastric retention, modulate buoyancy/swelling/adhesion, and ultimately improve oral bioavailability and therapeutic outcomes for …

Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 Read article

Published Subscription Original Research 5 Jun 2025

Percentage Changes According to Pathological Findings of Sentinel Lymph Node in Early and Early–like progressive Gastric Cancer

By Hyon Chol Jo, Hak Song Jo, Kum Hyok So

Abstract: Gastric cancer is considered to take the first place in incidence among visceral cancers in our country. We have studied to solve the problems to contribute gastric surgery practice, and the studying aim is to identify appearance of SLN, order of incidence and average amount. We selected 121 early and early-like progressive gastric cancer patients (Male: Female =2.7:1) who had undergone operations within last 10 years at Tumour Research Station …

Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 2, 2025 Read article

Published Subscription Review Article 13 Aug 2024

Detection and Classification of Diabetic Retinopathy Using Deep Learning Techniques

By Tejashwini N, Shantakumar B Patil, Rabbani S, Shreyas T.S, Sumanth V, Darshan R

Abstract: This project delves into the evaluation of three prominent deep learning architectures Basic CNN, ResNet, and DenseNet for their efficacy in detecting diabetic retinopathy from retinal images. Utilizing a diverse dataset, the study employs standard deep learning frameworks to train and validate each model. The focus extends to exploring the potential benefits of transfer learning on a limited dataset. Evaluation metrics like specificity, sensitivity, and accuracy are employed for a …

Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 64–69 Read article