Gender Disparities in Concerns of Cancer Research Participation During COVID-19 Climate.

The unprecedented threat of COVID-19 has taken its toll on the field of cancer research, with trial accrual rates seeing a sharp decline since the beginning of the pandemic. Recent evidence has suggested that decreased participation appears to be more pronounced in women than men, which raises concerns about an exacerbation of gender bias in research. The following manuscript is a commentary article to the recent study by Fox et al, who aimed at investigating the concerns of patients with regard to participating to cancer research, as well as examining potential gender disparities within their sample population.

Examining the impact of an asynchronous communication platform versus existing communication methods: an observational study.

Background: Healthcare systems revolve around intricate relations between humans and technology. System efficiency depends on information exchange that occur on synchronous and asynchronous platforms. Traditional synchronous methods of communication may pose risks to workflow integrity and contribute to inefficient service delivery and medical care.

The association between deep learning approach and case based learning.

Being medical students, and having experienced different learning approaches ourselves, here, we discuss and critically analyse the importance of the deep learning approach that Chonkar et al. have presented, alongside emphasizing Case Based Learning, and their roles in life long medical learning.