COVID-19 Therapeutics: Use, Mechanism of Action, and Toxicity (Xenobiotics).

SARS-CoV-2 emerged in 2019 and led to the COVID-19 pandemic. Efforts to develop therapeutics against SARS-Cov-2 led to both new treatments and attempts to repurpose existing medications. Here, we provide a narrative review of the xenobiotics and alternative remedies used or proposed to treat COVID-19.

Translator use not associated with longer time to pain medication in initial evaluation of low-severity geriatric trauma.

Objectives: Determine whether geriatric victims of blunt trauma who preferred to communicate in a language other than English waited longer for pain medication or received more imaging studies than English-speaking patients with the same age and injuries. Secondary outcomes were the type of medication administered and number of imaging studies.

Methods: We conducted a retrospective analysis of all trauma activations to a single academic urban medical center from January 2019 to October 2019.

Geospatial correlation between COVID-19 health misinformation and poisoning with household cleaners in the Greater Boston Area.

Introduction: Calls to poison control about exposure to household cleaners have increased during the COVID-19 pandemic. This dynamic may reflect increased exposure from public health efforts as well as health misinformation shared on social media.

Methods: We analyzed the dynamics of calls to the Regional Center for Poison Control and Prevention serving Massachusetts and Rhode Island (MARI PCC) and tweets discussing treating COVID-19 with house cleaners from January 20, 2020 to May 5, 2020.

COVID-19: Therapeutics and Their Toxicities.

SARS-CoV-2 is a novel coronavirus that emerged in 2019 and is causing the COVID-19 pandemic. There is no current standard of care. Clinicians need to be mindful of the toxicity of a wide variety of possibly unfamiliar substances being tested or repurposed to treat COVID-19.

The Role and Promise of Artificial Intelligence in Medical Toxicology.

Artificial intelligence (AI) refers to machines or software that process information and interact with the world as understanding beings. Examples of AI in medicine include the automated reading of chest X-rays and the detection of heart dysrhythmias from wearables. A key promise of AI is its potential to apply logical reasoning at the scale of data too vast for the human mind to comprehend.

Operator experience determines performance in a simulated computer-based brain tumor resection task.

Purpose: Develop measures to differentiate between experienced and inexperienced neurosurgeons in a virtual reality brain surgery simulator environment.

Methods: Medical students (n = 71) and neurosurgery residents (n = 12) completed four simulated Glioblastoma multiforme resections. Simulated surgeries took place over four days with intermittent spacing in between (average time between surgeries of 4.