This study enhances drug release evaluation and improves therapeutic outcomes using advanced dissolution testing techniques.

Biomarker-driven hypertension diagnostics enhance early detection, predict complications, and support precision medicine strategies to reduce global cardiovascular disease burden.

The study underscores nanoparticles' potential to improve stability, bioavailability, and therapeutic efficacy of anti-diabetic drugs versus conventional formulations.

This study models current and future habitats, highlighting climate-driven distribution shifts and guiding conservation strategies for two economically valuable medicinal plants.

Effective impurity control safeguards patient safety while accelerating pharmaceutical innovation and regulatory approval.

High viral load in HCC patients correlates with worsened liver function, systemic complications, and increased mortality, underscoring the need for early intervention.

The study seeks to develop an HCC risk profile framework for clinicians to identify patients who may be at risk.

This study demonstrated the potential of AI to revolutionize cancer care through improved diagnostics, personalized treatment, and ethical implementation.

This study shows how AI can change the way drugs are made and delivered, making healthcare faster, more personalized, and cheaper.

AI improves diagnosis, treatment planning, and patient outcomes by enabling early, accurate Alzheimer's disease identification using sophisticated data analysis.

This study highlights post-pandemic roles of Bangladeshi pharmacists, emphasizing their evolving contributions to healthcare access, management, and therapeutic decision-making.

This study determined Nickel (II) phthalocyanine's antioxidant efficacy, structural characterization, and versatile applications in industry and therapeutic advancements.

The results demonstrate a strong link between vitamin D deficiency and an increased risk of coronary heart disease in adults.

This review elucidates autoimmune mechanisms in Crohn’s disease, highlighting emerging molecular targets to advance precision immunotherapy and improve patient outcomes.

AI-driven contrast mapping enhances voxel-level T2-MRI brain analysis, revealing phenotypic variations crucial for early diagnosis and neurodevelopmental profiling 

Clarifies the potential role of vitamin D and kidney dysfunction in diabetic nephropathy through clinical and molecular analysis.

This study demonstrates interpretable, robust modeling for Parkinson’s telemonitoring, guiding reliable disease progression prediction under small-sample longitudinal data constraints.

Integrating predictive analytics, reinforcement learning, and causal inference improves maternal outcomes by aligning risk prediction with real-time, equity-aware resource allocation decisions.

This study integrates biomedical and ecological research, revealing shared biological mechanisms that inform therapeutic innovation, sustainable agriculture, and systems-level understanding of complex biological interactions.

This study clarifies structural features driving potent α-glycosidase inhibition, enabling rational design of selective therapeutics through integrated computational–experimental mechanistic insights.

This study highlights how prenatal endocrine disruptor exposure impairs neurodevelopment, emphasizing mixture effects, biological mechanisms, and urgent regulatory intervention needs.

This study provides preliminary clinical evidence that standardized Orthosiphon stamineus extract may meaningfully reduce serum uric acid in hyperuricemic adults.