Pym-18a, a novel pyrimidine derivative ameliorates glucocorticoid induced osteoblast apoptosis and promotes osteogenesis via autophagy and PINK 1/Parkin mediated mitophagy induction.

Glucocorticoid-induced osteoporosis (GIOP) is the most common type of secondary osteoporosis, marked by reduced bone density and impaired osteoblast function. Current treatments have serious side effects, highlighting the need for new drug candidates. Pyrimidine derivatives have been noted for their potential in suppressing osteoclastogenesis, but their effects on osteogenesis and GIOP remain underexplored.

Advancing siRNA Therapeutics targeting MCT-4: A Multifaceted approach integrating Arithmetical Designing, Screening, and molecular dynamics validation.

Monocarboxylate transporter 4 (MCT-4) is involved in various metabolic processes which are crucial in maintaining cellular pH and energy metabolism, and thus influence the tumor microenvironment. The study is aimed to rationally design effective Small interfering RNA (siRNA) that can silence MCT-4. We utilized a comprehensive workflow integrating multiple tools such as siDirect version 2.

Effectiveness of visual instruction skit and sign language on oral health status among 5-18-year-old hearing-impaired children in South India: A cluster randomized clinical trial.

Background: Literature on the effectiveness of theory-based oral health education on the oral hygiene status of hearing-impaired children is limited.

Aim: To determine the effectiveness of a school oral health education intervention on oral hygiene status and oral health-related knowledge among 5-18-year-old children in Andhra Pradesh, India.

Materials And Methods: A cluster randomized clinical trial was conducted among all institutionalized hearing-impaired children and young adults residing in various special care schools in Nellore district.

Integrating Model-Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation.

The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug-target interactions from big data, enabling more accurate predictions and novel hypothesis generation.