Digital Twins of Patients: A Cohort Matching Interpretation.

Digital Twins (DTs) are essentially virtual replicas of physical entities. DTs have evolved significantly over time. They have been applied in various fields.

Coronavirus research topics, tracking twenty years of research.

Research publications aimed at understanding the various aspects of Coronaviruses, particularly COVID-19, have significantly shaped our knowledge base. While the urgency to monitor COVID-19 in real-time has decreased, the continual influx of new research of monthly articles underscores the importance of systematic review and analysis to deepen our understanding of the pandemic's broad impact. To explore research trends and innovations in this space, we developed a pipeline using natural language processing techniques.

Perception of Empathy in Mental Health Care Through Voice-Based Conversational Agent Prototypes: Experimental Study.

Background: Empathy is a critical component of effective mental health care communication. Positive perceptions of empathy in conversational agents (CAs) operating in the health care domain are therefore needed to enhance the quality of care provided by these emerging technologies. However, research on how users perceive empathy in CAs is limited, particularly in voice-based prototypes.

Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation.

Background: This research study aimed to detect the vocal features immersed in empathic counselor speech using samples of calls to a mental health helpline service.

Objective: This study aimed to produce an algorithm for the identification of empathy from these features, which could act as a training guide for counselors and conversational agents who need to transmit empathy in their vocals.

Methods: Two annotators with a psychology background and English heritage provided empathy ratings for 57 calls involving female counselors, as well as multiple short call segments within each of these calls.

Digital Solution to Support Medication Adherence and Self-Management in Patients with Cancer (SAMSON): Pilot Randomized Controlled Trial.

Background: Medication nonadherence is a serious problem in cancer, potentially impacts patients' health outcomes and health care costs. Although technology-based medication adherence (MA) interventions have emerged, evidence supporting their quality and effectiveness remains limited.

Objective: This study tested the acceptability, feasibility, and potential effects of Safety and Adherence to Medications and Self-care Advice in Oncology (SAMSON), a digital solution designed to support MA and self-management in cancer.

Solving unknown primary cancer with earlier diagnosis - the SUPER-ED trial: study protocol for a stepped-wedge cluster randomised controlled trial to support earlier diagnosis for people presenting with malignancy of undefined primary origin.

Background: People with malignancy of undefined primary origin (MUO) have a poor prognosis and may undergo a protracted diagnostic workup causing patient distress and high cancer related costs. Not having a primary diagnosis limits timely site-specific treatment and access to precision medicine. There is a need to improve the diagnostic process, and healthcare delivery and support for these patients.

Exploring Virtual Reality and Exercise Simulator Interventions in Patients With Attention Deficit Hyperactivity Disorder: Comprehensive Literature Review.

Background: This review explores virtual reality (VR) and exercise simulator-based interventions for individuals with attention-deficit/hyperactivity disorder (ADHD). Past research indicates that both VR and simulator-based interventions enhance cognitive functions, such as executive function and memory, though their impacts on attention vary.

Objective: This study aimed to contribute to the ongoing scientific discourse on integrating technology-driven interventions into the management and evaluation of ADHD.

Smartphone Technology to Facilitate Remote Postural Balance Assessment in Acute Concussion Management: Pilot Study.

Impaired balance is a key symptom following acute concussion. Unfortunately, the recommended clinical balance assessment lacks sensitivity and discriminative ability, relying on the experience of the clinician for interpretation. The aim of this pilot study is to explore smartphone technology to remotely assess balance impairment in people with acute concussion.

Quantifying Hand Motion Complexity in Simulated Sailing Using Inertial Sensors.

The control of hand movement during sailing is important for performance. To quantify the amount of regularity and the unpredictability of hand fluctuations during the task, the mathematical algorithm Approximate Entropy (ApEn) of the hand acceleration can be used. Approximate Entropy is a mathematical algorithm that depends on the combination of two input parameters including (1) the length of the sequences to be compared (m), and (2) the tolerance threshold for accepting similar patterns between two segments (r).

'Omics-Based Digital Twins for Personalised Paediatric Healthcare.

Digital twins offer potential to enhance the precision and personalisation of healthcare delivery. As part of a collaborative project between La Trobe University and the Murdoch Children's Research Institute, Melbourne, Australia, multidimensional 'omics-based digital twins of children are being developed. The aim is to explore their application to a range of health contexts in children.

Impact of COVID-19 on Type 2 Diabetes Mellitus Diagnosis and Management in the US.

The COVID-19 pandemic has negatively affected individuals with chronic conditions, such as type 2 diabetes mellitus (T2DM). The full extent of the impact however remains unknown, mainly due to the limited research availability. This study examines the pandemic's impact on T2DM diagnosis and management in the United States.

Co-designing a motivational interviewing training platform to enhance oncology healthcare professional communication.

Background: Oncology healthcare professionals (HCPs) using motivational interviewing may motivate and support patients with chronic illness to adhere to medications. Research of online motivational interviewing training focusing on medication adherence in cancer is limited.

Objective: Co-design, develop, and preliminarily evaluate a motivational interviewing training platform (MITP) for oncology HCPs focused on medication adherence.

Empathic Conversational Agent Platform Designs and Their Evaluation in the Context of Mental Health: Systematic Review.

Background: The demand for mental health (MH) services in the community continues to exceed supply. At the same time, technological developments make the use of artificial intelligence-empowered conversational agents (CAs) a real possibility to help fill this gap.

Objective: The objective of this review was to identify existing empathic CA design architectures within the MH care sector and to assess their technical performance in detecting and responding to user emotions in terms of classification accuracy.

Safety and adherence to medications and self-care advice in oncology (SAMSON): pilot randomised controlled trial protocol.

Introduction: With the increasing use of oral anti-cancer medicines (OAMs), research demonstrating the magnitude of the medication non-adherence problem and its consequences on treatments' efficacy and toxicity is drawing more attention. Mobile phone interventions may be a practical solution to support patients taking OAMs at home, yet evidence to inform the efficacy of these interventions is lacking. The safety and adherence to medications and self-care advice in oncology (SAMSON) pilot randomised control trial (RCT) aims to evaluate the acceptability, feasibility and potential efficacy of a novel digital solution to improve medication adherence (MA) among people with cancer.

Enhancing Healthcare through Sensor-Enabled Digital Twins in Smart Environments: A Comprehensive Analysis.

This comprehensive review investigates the transformative potential of sensor-driven digital twin technology in enhancing healthcare delivery within smart environments. We explore the integration of smart environments with sensor technologies, digital health capabilities, and location-based services, focusing on their impacts on healthcare objectives and outcomes. This work analyzes the foundational technologies, encompassing the Internet of Things (IoT), Internet of Medical Things (IoMT), machine learning (ML), and artificial intelligence (AI), that underpin the functionalities within smart environments.

Co-Design, Development, and Evaluation of a Mobile Solution to Improve Medication Adherence in Cancer: Design Science Research Approach.

Background: Medication nonadherence negatively impacts the health outcomes of people with cancer as well as health care costs. Digital technologies present opportunities to address this health issue. However, there is limited evidence on how to develop digital interventions that meet the needs of people with cancer, are perceived as useful, and are potentially effective in improving medication adherence.

Intelligent decision support systems for dementia care: A scoping review.

In the context of dementia care, Artificial Intelligence (AI) powered clinical decision support systems have the potential to enhance diagnosis and management. However, the scope and challenges of applying these technologies remain unclear. This scoping review aims to investigate the current state of AI applications in the development of intelligent decision support systems for dementia care.

Non-invasive blood glucose monitoring technology in diabetes management: review.

Diabetes is one of the leading non-communicable diseases globally, adversely impacting an individual's quality of life and adding a considerable burden to the healthcare systems. The necessity for frequent blood glucose (BG) monitoring and the inconveniences associated with self-monitoring of BG, such as pain and discomfort, has motivated the development of non-invasive BG approaches. However, the current research progress is slow, and only a few BG self-monitoring devices have made considerable progress.

Digital Twins for More Precise and Personalized Treatment.

The use of Digital Twins (DTs) or the digital replicas of physical entities has provided benefits to several industry sectors, most notably manufacturing. To date, the application of DTs in the healthcare sector has been minimal, however. But, as pressure increases for more precise and personalized treatments, it behooves us to investigate the potential for DTs in the healthcare context.

Web-Based Intervention for Multilingual Family Carers of People with Dementia: Insights from the DrawCare Study.

Addressing the needs of ethnically diverse multilingual people can be challenging in environments that are non-native to them. The consequences of this issue become more significant in healthcare contexts. Insights from the DrawCare study-an Australian study that explores the effectiveness of a web-based intervention for multilingual family carers of people with dementia-are presented illustrating the enabling role of digital health.

"Take the tablet or don't take the tablet?"-A qualitative study of patients' experiences of self-administering anti-cancer medications related to adherence and managing side effects.

Purpose: Medication non-adherence is a well-recognised problem in cancer care, negatively impacting health outcomes and healthcare resources. Patient-related factors influencing medication adherence (MA) are complicated and interrelated. There is a need for qualitative research to better understand their underlying interaction processes and patients' needs to facilitate the development of effective patient-tailored complex interventions.

A Web-Based Tool to Report Adverse Drug Reactions by Community Pharmacists in Australia: Usability Testing Study.

Background: Adverse drug reactions (ADRs) are unintended and harmful events associated with medication use. Despite their significance in postmarketing surveillance, quality improvement, and drug safety research, ADRs are vastly underreported. Enhanced digital-based communication of ADR information to regulators and among care providers could significantly improve patient safety.