Interpretable machine learning for time-to-event prediction in medicine and healthcare.

Time-to-event prediction, e.g. cancer survival analysis or hospital length of stay, is a highly prominent machine learning task in medical and healthcare applications.

Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies.

The sudden outbreak and uncontrolled spread of COVID-19 disease is one of the most important global problems today. In a short period of time, it has led to the development of many deep neural network models for COVID-19 detection with modules for explainability. In this work, we carry out a systematic analysis of various aspects of proposed models.

Role of the rs2274907 allelic variant of the ITLN1 gene in patients with diabetic foot.

INTRODUCTION Diabetic foot (DF) is a serious complication of diabetes mellitus (DM) that occurs due to neuropathy or atherosclerosis of the lower limbs. Omentin (encoded by the ITLN1 gene) has been implicated as a protective factor in vascular complications of diabetes, likely due to its endothelial vasodilator activity and its anti‑inflammatory actions. However, susceptibility to DF with respect to the allelic variants of the ITLN1 gene has not been studied so far.