Emergence of ADM-mediated bioconjugate to enhance longevity and catalytic efficiency of urease.

The versatile nature of the urease enzyme makes it a valuable asset in biological and industrial contexts. The creation of bioconjugates using enzyme-polymer combinations has extended the shelf life and stability of urease. A triblock copolymer, PAM-co-PDPA-co-PMAA@urease (ADM@urease), was synthesized using acrylamide (AM), 2,5-dioxopyrrolidin-1-ylacrylate (DPA), methacrylic acid (MAA), and urease via the RAFT-Grafting-To polymerization method.

Transforming Non-Digital, Clinical Workflows to Detect and Track Vision-Threatening Diabetic Retinopathy via a Digital Platform Integrating Artificial Intelligence: Implementation Research.

Introduction: Screening diabetic retinopathy (DR) for timely management can reduce global blindness. Many existing DR screening programs worldwide are non-digital, standalone, and deployed with grading retinal photographs by trained personnel. To integrate the screening programs, with or without artificial intelligence (AI), into hospital information systems to improve their effectiveness, the non-digital workflow must be transformed into digital.

A new guide for basic psychological support for persons affected by neglected tropical diseases: A peer support tool suitable for persons with a diagnosis of leprosy and lymphatic filariasis.

Background: People with disabilities due to neglected tropical diseases (NTDs), such as leprosy and lymphatic filariasis (LF), often encounter situations of stigma and discrimination that significantly impact their mental wellbeing. Mental wellbeing services are often not available at the peripheral level in NTD-endemic countries, and there is a need for such services. Basic psychological support for persons with NTDs (BPS-N) from peers is an important potential solution for addressing mental wellbeing problems.

Molecular dynamics in pharmaceutical nanotechnology: simulating interactions and advancing applications.

Molecular Dynamics (MD) simulations are now widely utilized in pharmaceutical nanotechnology to gain deeper understanding of nanoscale processes imperative to drug design. This review has also detailed how MD simulation can be employed in the study of drug-nanocarrier interactions, controlling release of chemical compounds from drug delivery systems and increasing solubility and bioavailability of nanocarriers. Furthermore, MD contributes to examining the drug delivery systems, measuring the toxic effects, and determining biocompatibility of nanomedical systems.