AI Accelerated Human-in-the-loop Structuring of Radiology Reports.

Rule-based Natural Language Processing (NLP) pipelines depend on robust domain knowledge. Given the long tail of important terminology in radiology reports, it is not uncommon for standard approaches to miss items critical for understanding the image. AI techniques can accelerate the concept expansion and phrasal grouping tasks to efficiently create a domain specific lexicon ontology for structuring reports.

Safety on demand: A case study for the design and manufacturing-on-demand of personal protective equipment for healthcare workers during the COVID-19 pandemic.

The COVID-19 pandemic has highlighted the difficulties of countries and healthcare systems in preparing for major emergency situations. In the first month of the pandemic there was a global shortage of personal protective equipment (PPE), thereby causing a rise in infection cases and deaths among healthcare workers (HCWs) in some countries. Moreover, the PPE used in hospitals today is not designed for prolonged use, and causes problems such as headaches and vision difficulties.

Molecular investigation, isolation and phylogenetic analsysis of Coxiella burnetii from aborted fetus and ticks.

Q fever is a zoonotic infection threatening human health, causing abortions in cattle, sheep and goats. Coxiella burnetii (C. burnetii) also causes serious problems such as low birth weight, infertility.

Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.

Importance: Chest radiography is the most common diagnostic imaging examination performed in emergency departments (EDs). Augmenting clinicians with automated preliminary read assistants could help expedite their workflows, improve accuracy, and reduce the cost of care.

Objective: To assess the performance of artificial intelligence (AI) algorithms in realistic radiology workflows by performing an objective comparative evaluation of the preliminary reads of anteroposterior (AP) frontal chest radiographs performed by an AI algorithm and radiology residents.

BcXYG1, a Secreted Xyloglucanase from , Triggers Both Cell Death and Plant Immune Responses.

In search of cell death-inducing proteins, we found a xyloglucanase (BcXYG1) that induced strong necrosis and a resistance response in dicot plants. Expression of the gene was strongly induced during the first 12 h post inoculation, and analysis of disease dynamics using PathTrack showed that a strain overexpressing produced early local necrosis, supporting a role of BcXYG1 as an early cell death-inducing factor. The xyloglucanase activity of BcXYG1 was not necessary for the induction of necrosis and plant resistance, as a mutant of BcXYG1 lacking the xyloglucanase enzymatic activity retained both functions.