Virtual learning

Histology is part of the curricular base of all health courses, being the basis for understanding the composition of all tissues in the human body. Over the years, more and more technologies have entered the academic environment, with the aim of improving the teaching and learning process. Thus, the objective of this work was to conduct a systematic review on the use of digital technologies in teaching histology. The PICo strategy was used to develop the guiding question and the results were presented in a Prisma Flow...

Recent advances in computational methods provide the promise of dramatically accelerating drug discovery. While mathematical modeling and machine learning have become vital in predicting drug-target interactions and properties, there is untapped potential in computational drug discovery due to the vast and complex chemical space. This paper builds on our recently published computational fragment-based drug discovery (FBDD) method called fragment databases from screened ligand drug discovery (FDSL-DD). FDSL-DD uses in silico screening to identify ligands from a vast library, fragmenting them while attaching specific attributes based on predicted binding affinity and interaction with the target subdomain...

OBJECTIVE: The aim is to examine whether the addition of Virtual Reality (VR) meditation training to a standard 8-week Mindfulness-Based Health Care Program (MBHC-VR) results in a significantly increased improvement in occupational, mental health, and psychological functioning versus MBHC-only in university students. MATERIALS AND METHODS: A randomized controlled clinical trial with three arms (MBHC, MBHC-VR, Control Group), four assessment time points (pre-intervention, inter-session, post-intervention, and 3-month follow-up), and mixed methodology will be proposed...

Due to the magnitude of chemical space, the discovery of novel substrates in energy transfer (EnT) catalysis remains a daunting task. Experimental and computational strategies to identify compounds that successfully undergo EnT-mediated reactions are limited by their time and cost efficiency. To accelerate the discovery process in EnT catalysis, we herein present the EnTdecker platform, which facilitates the large-scale virtual screening of potential substrates using machine-learning (ML) based predictions of their excited state properties...

The COVID-19 pandemic and subsequent policies (e.g., social distancing, travel restrictions) challenged both organizers for and attendees of programs typically held in-person. Many scientific training programs quickly adapted to virtual formats by incorporating digital assets developed for virtual learning and remote social engagement. At the outset, the value of continuing digital elements with future in-person events was unclear. To examine how virtual resources supported heterogeneous professional training programs, we reviewed survey data for a 14-year-old training program for scientific professionals titled Isotope Tracers in Metabolic Research: Principles and Practice of Kinetic Analysis ...

BACKGROUND AND AIMS: Caregiver-delivered programs are a recommended best practice to support young autistic children. While research has extensively explored children's outcomes quantitatively, minimal qualitative research has been conducted to understand caregivers' perspectives of program outcomes for themselves and their children. Hearing directly from caregivers is an important step in ensuring these programs are meeting the needs of those who use them. This study explored caregivers' perceived outcomes following one virtual caregiver-delivered program, The Hanen Centre's More Than Words® (MTW) program ...

BACKGROUND: Lumbar disc herniation is a common degenerative lumbar disease with an increasing incidence. Percutaneous endoscopic lumbar discectomy can treat lumbar disc herniation safely and effectively with a minimally invasive procedure. However, the learning curve of this technology is steep, which means that initial learners are often not sufficiently proficient in endoscopic operations, which can easily lead to iatrogenic damage. At present, the application of computer deep learning technology to clinical diagnosis, treatment, and surgical navigation has achieved satisfactory results...

We developed a prototype VR platform, VECTORS L&M (VLM), aiming to enhance the understanding of digestive surgery for students, interns, and young surgeons by limiting costs. Its efficacy was assessed via questionnaires before implementation in surgical education. The VLM provides nine-minute VR views of surgeries, from both 180- and 360-degree angles. It was created with L.A.B. Co., Ltd. and incorporates surgery videos from biliary malignancy patients. Following VLM development, a survey was conducted among surgeons who had experienced it...

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Disparities in accessing quality healthcare persist among diverse populations. Health professional education should therefore promote more diversity in the health workforce, by fostering attitudes of inclusion. This paper outlines the potential of virtual simulation (VS), as one method in a system of health professional education, to promote inclusion and diversity. We conceptualise how VS can allow learners to experience an alternative to what HPE currently is by drawing on two social justice theorists, Paulo Freire, and Nancy Fraser and their ideas about 'voice' and 'representation'...

BACKGROUND: Project ECHO® networks at Children's Health Queensland Hospital and Health Service (CHQHHS) are communities of practice designed to mitigate services and systems fragmentation by building collaborative partnerships addressing priority child and youth health needs. Aboriginal and Torres Strait Islander people experience the negative impacts of fragmentation in addition to historical challenges of absent or culturally inappropriate health services. Access to culturally safe and responsive services can be improved by engaging Aboriginal and Torres Strait Islander Health Workers and similar roles in an online community of practice, supporting the integration of cultural and clinical knowledge and self-determination of Aboriginal and Torres Strait Islander consumers in decisions affecting their health...

BACKGROUND: Virtual reality (VR) training can enhance health professionals' learning. However, there are ambiguous findings on the effectiveness of VR as an educational tool in mental health. We therefore reviewed the existing literature on the effectiveness of VR training on health professionals' knowledge, skills, and attitudes in assessing and treating patients with mental health disorders. METHODS: We searched MEDLINE, PsycINFO (via Ovid), the Cochrane Library, ERIC, CINAHL (on EBSCOhost), Web of Science Core Collection, and the Scopus database for studies published from January 1985 to July 2023...

Artificial intelligence (AI) has demonstrated great potential in a wide variety of applications in interventional radiology (IR). Support for decision-making and outcome prediction, new functions and improvements in fluoroscopy, ultrasound, computed tomography, and magnetic resonance imaging, specifically in the field of IR, have all been investigated. Furthermore, AI represents a significant boost for fusion imaging and simulated reality, robotics, touchless software interactions, and virtual biopsy. The procedural nature, heterogeneity, and lack of standardisation slow down the process of adoption of AI in IR...

A novel optically induced dielectrophoresis (ODEP) system that can operate under flow conditions is designed for automatic trapping of cells and subsequent induction of 2D multi-frequency cell trajectories. Like in a "ping-pong" match, two virtual electrode barriers operate in an alternate mode with varying frequencies of the input voltage. The so-derived cell motions are characterized via time-lapse microscopy, cell tracking, and state-of-the-art machine learning algorithms, like the wavelet scattering transform (WST)...

RATIONALE AND OBJECTIVES: To develop and validate a predictive model for osteoporosis and osteopenia prediction by fusing deep transfer learning (DTL) features and classical radiomics features based on single-source dual-energy computed tomography (CT) virtual monochromatic imaging. METHODS: A total of 606 lumbar vertebrae with dual-energy CT imaging and quantitative CT (QCT) evaluation were included in the retrospective study and randomly divided into the training (n = 424) and validation (n = 182) cohorts...

OBJECTIVE: This study examines the characteristics and effects of virtual reality (VR) intravenous injection training programs for nurses and nursing students, using Kirkpatrick's four-level model of educational evaluation. Kirkpatrick's framework is based on the premise that learning from training programs can be classified into four levels: reaction, learning, behavior, and results. DESIGN: A systematic review. DATA SOURCES: Literature searches were conducted of eight electronic databases (PubMed, CINAHL, Cochrane, EMBASE, DBpia, KISS, RISS, KoreaMed) to identify original research articles from each database's inception to March 2023...

Introduction: 3D pharmacophore models describe the ligand's chemical interactions in their bioactive conformation. They offer a simple but sophisticated approach to decipher the chemically encoded ligand information, making them a valuable tool in drug design. Methods: Our research summarized the key studies for applying 3D pharmacophore models in virtual screening for 6,944 compounds of APJ receptor agonists. Recent advances in clustering algorithms and ensemble methods have enabled classical pharmacophore modeling to evolve into more flexible and knowledge-driven techniques...

Although the additive manufacturing (AM) market continues to grow, industries face barriers to AM adoption due to a shortage of skilled designers in the workforce that can apply AM effectively to meet this demand. This shortage is attributed to the high cost and infrastructural requirements of introducing high- barrier-to-entry AM processes such as powder bed fusion (PBF) into in-person learning environments. To meet the demands for a skilled AM workforce, it is important to explore other mediums of AM education, such as computer-aided instruction (CAI) and virtual reality (VR), which can increase access to hands-on learning experiences for inaccessible AM processes...

BACKGROUND: To compare denoising diffusion probabilistic models (DDPM) and generative adversarial networks (GAN) for recovering contrast-enhanced breast magnetic resonance imaging (MRI) subtraction images from virtual low-dose subtraction images. METHODS: Retrospective, ethically approved study. DDPM- and GAN-reconstructed single-slice subtraction images of 50 breasts with enhancing lesions were compared to original ones at three dose levels (25%, 10%, 5%) using quantitative measures and radiologic evaluations...

OBJECTIVE: To describe the implementation and outcomes of EmpathyVR, an immersive experience using virtual reality (VR) to promote empathy for patients with physical limitations due to chronic diseases. METHODS: First-year student pharmacists participated in a learning experience that incorporated VR and stiff gloves to simulate physical limitations associated with color blindness and arthritis, respectively. Students completed pre- and post-intervention surveys that included the Kiersma-Chen Empathy Scale and measures of immersion, user enjoyment, perceived usefulness for learning, and adverse effects of the experience...