The present publication surveys several applications of in silico (i.e., computational) toxicology approaches across different industries and institutions. It highlights the need to develop standardized protocols when conducting toxicity-related predictions. This contribution articulates the information needed for protocols to support in silico predictions for major toxicological endpoints of concern (e.g., genetic toxicity, carcinogenicity, acute toxicity, reproductive toxicity, developmental toxicity) across several industries and regulatory bodies. Such novel in silico toxicology (IST) protocols, when fully developed and implemented, will ensure in silico toxicological assessments are performed and evaluated in a consistent, reproducible, and well-documented manner across industries and regulatory bodies to support wider uptake and acceptance of the approaches. The development of IST protocols is an initiative developed through a collaboration among an international consortium to reflect the state-of-the-art in in silico toxicology for hazard identification and characterization. A general outline for describing the development of such protocols is included and it is based on in silico predictions and/or available experimental data for a defined series of relevant toxicological effects or mechanisms. The publication presents a novel approach for determining the reliability of in silico predictions alongside experimental data. In addition, we discuss how to determine the level of confidence in the assessment based on the relevance and reliability of the information.

The World Health Organization announced the coronavirus disease 2019 (COVID-19) outbreak a pandemic on 12 March 2020. Although being in proximity to China, the original epicenter of the COVID-19 outbreak, Taiwan has maintained a low number of COVID-19 cases despite its close social ties and heavy traffic between Taiwan and China. Containment strategies executed by the Taiwanese government have attracted global attention. Similarly, in-hospital settings, high alertness and swift responses to the changing outbreak situation are necessary to ensure hospital staff members' safety so they can continue to save patients' lives. Herein, we present infection control measures that can be adopted in hospital settings that were executed in a Taiwanese hospital to confront the COVID-19 pandemic, including emergency preparedness and responses from the hospital administration, education, surveillance, patient flow arrangement, the partition of hospital zones, and the prevention of a systemic shutdown by using the "divided cabin, divided flow" strategy. The measures implemented by a Taiwan hospital during the COVID-19 pandemic may not be universally applicable in every hospital. Nonetheless, the presented infection control methods have been practically executed and can be referenced or modified to fit each hospital's unique condition. K E Y W O R D S

We conclude that using ES cells to improve the regeneration of periodontal furcation defects is feasible. More studies are required to assess this potential treatment's efficacy and safety.