This research paper investigates the factors that explain the variation in clinical response and tolerability to beta-blocker therapy among patients with hypertrophic cardiomyopathy.

Lipoprotein(a) is now seen as a major contributor to residual cardiovascular risk. Using recent clinical trials and mechanistic studies, this review demonstrates the reasons for testing Lp(a) levels, examines the mechanistic process behind Lp(a) and considers future breakthroughs.

Diabetic retinopathy (DR) is largely asymptomatic in the early stages of disease, and therefore routine screening is recommended for all people with diabetes. This paper is a focused review of the published literature regarding machine learning approaches to the diagnosis and prognosis of DR.

By consolidating the current landscape of breast cancer diagnosis and exploring the major AI methodologies and their clinical applications, this review evaluates the challenges and ethical considerations surrounding AI implementation and considers future directions for integrating AI into breast cancer care.

This review synthesises evidence on the diagnostic accuracy, real-world effectiveness, health economic implications, qualitative implementation considerations and ethical dimensions of AI-assisted skin cancer screening.