Virtual Screening Uncovers DspS Activators That Disperse Biofilms.

is the predominant bacterium found in many chronic biofilm infections. Over the past few decades, biofilm-related infections have posed a significant challenge to medical practice due to the increasing emergence of multidrug resistance. -2-decenoic acid (CDA), a small molecule found in , has been shown to disperse biofilms formed by various bacteria and to work in synergy with common antibiotics.

A data-driven machine learning approach for discovering potent LasR inhibitors.

The rampant spread of multidrug-resistant strains severely threatens global health. This severity is compounded against the backdrop of a stagnating antibiotics development pipeline. Moreover, with many promising therapeutics falling short of expectations in clinical trials, targeting the quorum sensing (QS) system remains an attractive therapeutic strategy to combat infection.

Self-reported use of technology by orientation and mobility clients in Australia and Malaysia before the COVID-19 pandemic.

Since the 1960s, many electronic travel aids have been developed for people with low vision or blindness to improve their independent travel skills, but uptake of these specialist devices has been limited. This study investigated what technologies orientation and mobility (O&M) clients in Australia and Malaysia have, use, like, and want to support their travel, to inform technology research and development. This two-phase mixed-methods study surveyed O&M clients face-to-face in Malaysia ( = 9), and online in Australia ( = 50).

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients.

This article's main contributions are twofold: 1) to demonstrate how to apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for trustworthy AI in practice for the domain of healthcare and 2) to investigate the research question of what does "trustworthy AI" mean at the time of the COVID-19 pandemic. To this end, we present the results of a post-hoc self-assessment to evaluate the trustworthiness of an AI system for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients, developed and verified by an interdisciplinary team with members from academia, public hospitals, and industry in time of pandemic. The AI system aims to help radiologists to estimate and communicate the severity of damage in a patient's lung from Chest X-rays.

Evaluating a serious game to improve childhood cancer patients' treatment adherence.

Objective: Childhood cancer patients need to have good treatment adherence. Unfortunately, treatment non-adherence often occurs due to high side-effect burdens of treatment and the lack of knowledge of one's illness and treatment. Therefore, a serious game intervention based on the Protection Motivation Theory (PMT) was designed and developed to motivate childhood cancer patients to undergo treatment and to motivate them to undergo treatment, perform daily self-care and educate them about their illness.

Use of technology by orientation and mobility professionals in Australia and Malaysia before COVID-19.

Purpose: Orientation and Mobility (O&M) professionals teach people with low vision or blindness to use specialist assistive technologies to support confident travel, but many O&M clients now prefer a smartphone. This study aimed to investigate what technology O&M professionals in Australia and Malaysia have, use, like, and want to support their client work, to inform the development of O&M technologies and build capacity in the international O&M profession.

Materials And Methods: A technology survey was completed by professionals ( = 36) attending O&M workshops in Malaysia.

Optimising technology to measure functional vision, mobility and service outcomes for people with low vision or blindness: protocol for a prospective cohort study in Australia and Malaysia.

Introduction: Orientation and mobility (O&M) specialists assess the functional vision and O&M skills of people with mobility problems, usually relating to low vision or blindness. There are numerous O&M assessment checklists but no measures that reduce qualitative assessment data to a single comparable score suitable for assessing any O&M client, of any age or ability, in any location. Functional measures are needed internationally to align O&M assessment practices, guide referrals, profile O&M clients, plan appropriate services and evaluate outcomes from O&M programmes (eg, long cane training), assistive technology (eg, hazard sensors) and medical interventions (eg, retinal implants).