Machine learning approach for detecting Covid-19 from speech signal using Mel frequency magnitude coefficient.

The Covid-19 pandemic is one of the most significant global health concerns that have emerged in this decade. Intelligent healthcare technology and techniques based on speech signal and artificial intelligence make it feasible to provide a faster and more efficient timely detection of Covid-19. The main objective of our study is to design speech signal-based noninvasive, low-cost, remote diagnosis of Covid-19.

Heparin-Induced Thrombocytopenia in COVID-19: A Systematic Review.

Background: It has been more than a year since the whole world is struggling with COVID-19 pandemic and may experience resurgences in the near future. Along with severe pneumonia, this disease is notorious for extensive thromboembolic manifestations. That is why experts advocated aggressive anticoagulation as a part of the therapy since the beginning.

Transient Neurological Dysfunction and Intracranial Hypertension After Tourniquet Deflation in a Patient With a Head Injury: A Case Report.

A tourniquet is used during surgery to produce a bloodless surgical field and decrease intraoperative blood loss. Although useful, tourniquets are associated with various physiological alterations both during inflation and deflation phases which may be poorly tolerated in compromised patients. We report a case of transient neurological dysfunction and intracranial hypertension after tourniquet deflation in a 15-year-old patient with a head injury.