Machine learning mathematical models for incidence estimation during pandemics.

Accurate estimates of the incidence of infectious diseases are key for the control of epidemics. However, healthcare systems are often unable to test the population exhaustively, especially when asymptomatic and paucisymptomatic cases are widespread; this leads to significant and systematic under-reporting of the real incidence. Here, we propose a machine learning approach to estimate the incidence of a pandemic in real-time, using reported cases and the overall test rate.

A Case Report of Acute Pericarditis Presenting With Acute Aortic Dissection.

This case report presents a rare occurrence of acute pericarditis coinciding with acute aortic dissection (AAD), emphasizing the significance of recognizing and managing these dual conditions effectively. It highlights the necessity of a multidisciplinary approach and underscores the importance of maintaining a high index of suspicion regardless of symptomatology to ensure prompt patient management and complication prevention. This case describes a 91-year-old male patient, who initially presented with mild chest pain, and was later diagnosed with AAD alongside acute pericarditis.

A comprehensive study of common and rare genetic variants in spermatogenesis-related loci identifies new risk factors for idiopathic severe spermatogenic failure.

Study Question: Can genome-wide genotyping data be analysed using a hypothesis-driven approach to enhance the understanding of the genetic basis of severe spermatogenic failure (SPGF) in male infertility?

Summary Answer: Our findings revealed a significant association between SPGF and the gene and identified three novel genes (, , and ) along with 32 potentially pathogenic rare variants in 30 genes that contribute to this condition.

What Is Known Already: SPGF is a major cause of male infertility, often with an unknown aetiology. SPGF can be due to either multifactorial causes, including both common genetic variants in multiple genes and environmental factors, or highly damaging rare variants.