Designing a Roadmap for Health Technology Assessment Implementation in Algeria.

Background The scarcity of resources restricts healthcare financing decisions, affecting the population's health. Health technology assessment (HTA) balances restricted budgets with the best possible health outcomes. We aim to characterize the current status of HTA in Algeria and describe the future directions for HTA implementation according to the priorities set by local stakeholders. Methods Stakeholders from the public and private sectors responded to a policy survey about the current and preferred future status of HTA implementation in Algeria. The survey was administered during an online workshop and used a widely accepted international scorecard covering eight domains: capacity building, HTA financing, process and organizational structure, scope of HTA implementation, decision criteria, standardization of methodology, use of local data, and international collaboration. After that, one-on-one interviews with another local expert were conducted to validate and modify the draft recommendations. The interviewees were representatives from government agencies, hospitals, and pharmaceutical companies. Results Thirty-one experts filled out the HTA scorecard survey; most of them were from the public sector (74%). They highlighted that project-based HTA workshops or short courses were the most common form of HTA education in Algeria and recommended the establishment of postgraduate HTA training programs in the future to build sustainable capacities. They reported a lack of funding for HTA research and critical appraisal and recommended an increased public budget for HTA and the introduction of submission fees by manufacturers. There was consensus about the need for local HTA evidence generation in the future. Most of the experts advocated an explicit soft decision threshold. The interviewees further recommended using multi-criteria decision analysis in the short term. The application of quality indicators was believed to improve the reliability of the HTA process. Conclusion The results of our policy research delineate the gap between the current and preferred future status of HTA in Algeria based on insights from multiple stakeholders. The need to improve the educational HTA programs in Algeria, use local data in policy decisions, and increase funding for HTA were the most advocated recommendations.

Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments.

Cooperative multi-agent systems make it possible to employ miniature robots in order to perform different experiments for data collection in wide open areas to physical interactions with test subjects in confined environments such as a hive. This paper proposes a new multi-agent path-planning approach to determine a set of trajectories where the agents do not collide with each other or any obstacle. The proposed algorithm leverages a risk-aware probabilistic roadmap algorithm to generate a map, employs node classification to delineate exploration regions, and incorporates a customized genetic framework to address the combinatorial optimization, with the ultimate goal of computing safe trajectories for the team. Furthermore, the proposed planning algorithm makes the agents explore all subdomains in the workspace together as a formation to allow the team to perform different tasks or collect multiple datasets for reliable localization or hazard detection. The objective function for minimization includes two major parts, the traveling distance of all the agents in the entire mission and the probability of collisions between the agents or agents with obstacles. A sampling method is used to determine the objective function considering the agents' dynamic behavior influenced by environmental disturbances and uncertainties. The algorithm's performance is evaluated for different group sizes by using a simulation environment, and two different benchmark scenarios are introduced to compare the exploration behavior. The proposed optimization method establishes stable and convergent properties regardless of the group size.

Systematic review of bovine and zoonotic tuberculosis in the Western Pacific and the Southeast Asia regions of the World Health Organization.

Introduction: Tuberculosis (TB) remains a leading cause of mortality worldwide. We conducted this systematic review to understand the distribution of bovine and zoonotic tuberculosis in the World Health Organization (WHO)'s Southeast Asia Region (SEAR) and Western Pacific Region (WPR) to inform our understanding of the risk posed by this disease. Methods: A two-pronged strategy was used by evaluating data from peer-reviewed literature and official reports. A systematic search was conducted using a structured query in four databases (Web of Science, Scopus, Medline, and PubMed) to identify any reports of the occurrence of zoonotic TB. No language and time constraints were used during the search, but non-English language articles were later excluded. The official data were sourced from the World Organization for Animal Health's (WOAH) World Animal Health Information System (WAHIS) and WHO's global TB database. Results: The retrieved records from SEAR and WPR (n = 113) were screened for eligibility, and data about disease occurrence were extracted and tabulated. In SEAR, all of the five studies that conducted Mycobacterium speciation (5/6) in humans were from India, and the reported Mycobacterium species included M. tuberculosis, M. bovis, M. scrofulacium, M. kansasii, M. phlei, M. smegmatis and M. orygis. In WPR, Mycobacterium speciation investigations in humans were conducted in Australia (8), China (2), Japan (2), NewZealand (2) and Malaysia (1), and the reported Mycobacterium species included M. bovis, M. africanum and M. tuberculosis. Seven countries in WHO's SEAR have officially reported the occurrence of Mycobacterium bovis in their animals: Bangladesh, India, Indonesia, Myanmar, Nepal, Sri Lanka and Thailand. In WPR, the WAHIS information system includes reports of the identification of M. bovis from 11 countries - China, Fiji, Japan, Malaysia, Mongolia, New Zealand, the Philippines, the Republic of Korea, Singapore, Tonga and Viet Nam. In contrast, human zoonotic TB cases in the WHO database were only listed from Australia, Brunei Darussalam and Palau countries. Discussion: The available data suggests under-reporting of zoonotic TB in the regions. Efforts are required to strengthen zoonotic TB surveillance systems from both animal and human health sides to better understand the impact of zoonotic TB in order to take appropriate action to achieve the goal of ending the TB epidemic.

Theranostic digital twins: Concept, framework and roadmap towards personalized radiopharmaceutical therapies.

Radiopharmaceutical therapy (RPT) is a rapidly developing field of nuclear medicine, with several RPTs already well established in the treatment of several different types of cancers. However, the current approaches to RPTs often follow a somewhat inflexible "one size fits all" paradigm, where patients are administered the same amount of radioactivity per cycle regardless of their individual characteristics and features. This approach fails to consider inter-patient variations in radiopharmacokinetics, radiation biology, and immunological factors, which can significantly impact treatment outcomes. To address this limitation, we propose the development of theranostic digital twins (TDTs) to personalize RPTs based on actual patient data. Our proposed roadmap outlines the steps needed to create and refine TDTs that can optimize radiation dose to tumors while minimizing toxicity to organs at risk. The TDT models incorporate physiologically-based radiopharmacokinetic (PBRPK) models, which are additionally linked to a radiobiological optimizer and an immunological modulator, taking into account factors that influence RPT response. By using TDT models, we envisage the ability to perform virtual clinical trials, selecting therapies towards improved treatment outcomes while minimizing risks associated with secondary effects. This framework could empower practitioners to ultimately develop tailored RPT solutions for subgroups and individual patients, thus improving the precision, accuracy, and efficacy of treatments while minimizing risks to patients. By incorporating TDT models into RPTs, we can pave the way for a new era of precision medicine in cancer treatment.

A roadmap towards safe and sustainable by design nanotechnology: Implementation for nano-silver-based antimicrobial textile coatings production by ASINA project.

This report demonstrates a case study within the ASINA project, aimed at instantiating a roadmap with quantitative metrics for Safe(r) and (more) Sustainable by Design (SSbD) options. We begin with a description of ASINA's methodology across the product lifecycle, outlining the quantitative elements within: Physical-Chemical Features (PCFs), Key Decision Factors (KDFs), and Key Performance Indicators (KPIs). Subsequently, we delve in a proposed decision support tool for implementing the SSbD objectives across various dimensions-functionality, cost, environment, and human health safety-within a broader European context. We then provide an overview of the technical processes involved, including design rationales, experimental procedures, and tools/models developed within ASINA in delivering nano-silver-based antimicrobial textile coatings. The result is pragmatic, actionable metrics intended to be estimated and assessed in future SSbD applications and to be adopted in a common SSbD roadmap aligned with the EU's Green Deal objectives. The methodological approach is transparently and thoroughly described to inform similar projects through the integration of KPIs into SSbD and foster data-driven decision-making. Specific results and project data are beyond this work's scope, which is to demonstrate the ASINA roadmap and thus foster SSbD-oriented innovation in nanotechnology.

Patient organization perspective: a research roadmap for Okur-Chung Neurodevelopmental Syndrome.

Okur-Chung neurodevelopmental syndrome (OCNDS) is an ultra-rare disorder caused by variants in the CSNK2A1 gene. CSNK2A1 encodes for the alpha subunit of casein kinase 2 (CK2), a serine/threonine kinase critical in neural development. CK2 is implicated in many human pathologies, including viral infections, cancer, inflammation, cardiovascular, neurodegenerative, and psychiatric diseases. However, the mechanism of action for the CSNK2A1 variants observed in OCNDS is not fully understood, although studies suggest a loss of function or altered substrate specificity. There are no approved treatments for OCNDS, and current treatments focus on symptom management. The CSNK2A1 Foundation was established in 2018 and aims to find a cure for OCNDS and provide support to affected individuals. OCNDS presents with symptoms at varying severity, including developmental delay/intellectual disabilities, autism, disrupted sleep, speech delays/inability to speak, short stature, and, in ~25% of cases, epilepsy. The foundation has developed a research toolbox that is readily available to researchers worldwide and has awarded ~$1 million in grant funding. These efforts have provided valuable insights into CK2 biology and the natural history of OCNDS. However, additional efforts are needed to fully characterize the disease mechanism and investigate potential treatment interventions. Continued investigation into CK2 and its role in neural development holds promise for a better understanding of OCNDS and related disorders in the future. To accelerate research, we have developed a research roadmap highlighting key focus areas of landscape analysis/toolbox expansion, biomarker development, and therapeutic testing through a series of steps that are nonlinear; we expect these efforts to guide decision-making for therapeutic exploration whether that be drug repurposing, gene therapy, novel drug discovery, or a combination. In this perspective article, we describe OCNDS and the CSNK2A1 gene, highlight gaps in OCNDS research, discuss the research roadmap, and offer the founder's perspective on our growth and future opportunities.

Patient organization perspective: a research roadmap for Okur-Chung Neurodevelopmental Syndrome Okur-Chung Neurodevelopmental Syndrome (OCNDS) is an ultra-rare disorder caused by variants in the CSNK2A1 gene.CSNK2A1 creates a subunit of CK2, a critical protein in brain development among other biological processes.There are no approved treatments for OCNDS, and current suggested treatments focus on symptom management.Individuals with OCNDS exhibit many symptoms at varying severity levels, including developmental delay/intellectual disabilities, autism, disrupted sleep, speech delays/inability to speak, short stature, and in approximately 25% of cases, epilepsy. We think that seizure prevalence may be underreported due to lack of extended EEG recordings for OCNDS patients and that seizures may preferentially occur at night as has been observed in other autism spectrum disorders.The CSNK2A1 Foundation was established in 2018 and aims to find a cure for OCNDS and provide support to affected individuals. The CSNK2A1 Foundation's research tools and efforts have provided valuable insights into the biology of OCNDS and the natural history of the disorder. However, additional efforts are needed to fully understand how OCNDS affects the body and investigate potential treatment approaches.To accelerate OCNDS research, the foundation has developed a research roadmap that is presented in this perspective article. We describe OCNDS and the CSNK2A1 gene, highlight gaps in OCNDS research, discuss the research roadmap, and offer the founder's perspective on our growth and future opportunities.

World Heart Federation Cholesterol Roadmap: The Portuguese case.

Atherosclerotic cardiovascular disease (ASCVD) remains the major cause of premature death and disability; effective cardiovascular (CV) risk prevention is fundamental. The World Heart Federation (WHF) Cholesterol Roadmap provides a framework for national policy development and aims to achieve ASCVD prevention. At the invitation of the WHF, a group of experts from the Portuguese Society of Cardiology (SPC), addressed the cholesterol burden at nationally and discussed possible strategies to include in a Portuguese cholesterol roadmap. The literature review showed that the cholesterol burden in Portugal is high and especially uncontrolled in those with the highest CV risk. An infographic scorecard was built to include in the WHF collection, for a clear idea about CV risk and cholesterol burden in Portugal, which would also be useful for health policy advocacy. The expert discussion and preventive strategies proposal followed the five pillars of the WHF document: awareness improvement; population-based approaches for CV risk and cholesterol; risk assessment/population screening; system-level approaches; surveillance of cholesterol and ASCVD outcomes. These strategies were debated by all the expert participants, with the goal of creating a national cholesterol roadmap to be used for advocacy and as a guide for CV prevention. Several key recommendations were outlined: include all stakeholders in a multidisciplinary national program; create a structured activities plan to increase awareness in the population; improve the quality of continuous CV health education; increase the interaction between different health professionals and non-health professionals; increment the referral of patients to cardiac rehabilitation; screen cholesterol levels in the general population, especially high-risk groups; promote patient self-care, engage with patients' associations; use specific social networks to spread information widely; create a national database of cholesterol levels with systematic registry of CV events; redefine strategies based on the evaluation of results; create and involve more patients' associations - invert the pyramid order. In conclusion, ASCVD and the cholesterol burden remain a strong global issue in Portugal, requiring the involvement of multiple stakeholders in prevention. The Portuguese cholesterol roadmap can provide some solutions to help urgently mitigate the problem. Population-based approaches to improve awareness and CV risk assessment and surveillance of cholesterol and ASCVD outcomes are key factors in this change. A call to action is clearly needed to fight hypercholesterolemia and ASCVD burden.

Incident Tuberculosis Infection is Associated with Alcohol use in Adults in Rural Uganda.

Data on alcohol use and incident Tuberculosis (TB) infection are needed. In adults aged 15+ in rural Uganda (N=49,585), estimated risk of incident TB infection was 29.2% with alcohol use vs. 19.2% without (RR: 1.49; 95%CI: 1.40-1.60). There is potential for interventions to interrupt transmission among people who drink alcohol.

Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence-review of evidence and proposition of a roadmap to clinical translation.

BACKGROUND: Cardiovascular magnetic resonance (CMR) is an important imaging modality for the assessment of heart disease; however, limitations of CMR include long exam times and high complexity compared to other cardiac imaging modalities. Recently advancements in artificial intelligence (AI) technology have shown great potential to address many CMR limitations. While the developments are remarkable, translation of AI-based methods into real-world CMR clinical practice remains at a nascent stage and much work lies ahead to realize the full potential of AI for CMR. METHODS: Herein we review recent cutting-edge and representative examples demonstrating how AI can advance CMR in areas such as exam planning, accelerated image reconstruction, post-processing, quality control, classification and diagnosis. RESULTS: These advances can be applied to speed up and simplify essentially every application including cine, strain, late gadolinium enhancement, parametric mapping, 3D whole heart, flow, perfusion and others. AI is a unique technology based on training models using data. Beyond reviewing the literature, this paper discusses important AI-specific issues in the context of CMR, including (1) properties and characteristics of datasets for training and validation, (2) previously published guidelines for reporting CMR AI research, (3) considerations around clinical deployment, (4) responsibilities of clinicians and the need for multi-disciplinary teams in the development and deployment of AI in CMR, (5) industry considerations, and (6) regulatory perspectives. CONCLUSIONS: Understanding and consideration of all these factors will contribute to the effective and ethical deployment of AI to improve clinical CMR.

Post-quantum healthcare: A roadmap for cybersecurity resilience in medical data.

As healthcare systems transition into an era dominated by quantum technologies, the need to fortify cybersecurity measures to protect sensitive medical data becomes increasingly imperative. This paper navigates the intricate landscape of post-quantum cryptographic approaches and emerging threats specific to the healthcare sector. Delving into encryption protocols such as lattice-based, code-based, hash-based, and multivariate polynomial cryptography, the paper addresses challenges in adoption and compatibility within healthcare systems. The exploration of potential threats posed by quantum attacks and vulnerabilities in existing encryption standards underscores the urgency of a change in basic assumptions in healthcare data security. The paper provides a detailed roadmap for implementing post-quantum cybersecurity solutions, considering the unique challenges faced by healthcare organizations, including integration issues, budget constraints, and the need for specialized training. Finally, the abstract concludes with an emphasis on the importance of timely adoption of post-quantum strategies to ensure the resilience of healthcare data in the face of evolving threats. This roadmap not only offers practical insights into securing medical data but also serves as a guide for future directions in the dynamic landscape of post-quantum healthcare cybersecurity.

Aortic roadmapping during EVAR: a combined FEM-EM tracking feasibility study.

PURPOSE: Currently, the intra-operative visualization of vessels during endovascular aneurysm repair (EVAR) relies on contrast-based imaging modalities. Moreover, traditional image fusion techniques lack a continuous and automatic update of the vessel configuration, which changes due to the insertion of stiff guidewires. The purpose of this work is to develop and evaluate a novel approach to improve image fusion, that takes into account the deformations, combining electromagnetic (EM) tracking technology and finite element modeling (FEM). METHODS: To assess whether EM tracking can improve the prediction of the numerical simulations, a patient-specific model of abdominal aorta was segmented and manufactured. A database of simulations with different insertion angles was created. Then, an ad hoc sensorized tool with three embedded EM sensors was designed, enabling tracking of the sensors' positions during the insertion phase. Finally, the corresponding cone beam computed tomography (CBCT) images were acquired and processed to obtain the ground truth aortic deformations of the manufactured model. RESULTS: Among the simulations in the database, the one minimizing the in silico versus in vitro discrepancy in terms of sensors' positions gave the most accurate aortic displacement results. CONCLUSIONS: The proposed approach suggests that the EM tracking technology could be used not only to follow the tool, but also to minimize the error in the predicted aortic roadmap, thus paving the way for a safer EVAR navigation.

The distinct spatiotemporal evolutionary landscape of HBV and HDV largely determines the unique epidemic features of HDV globally.

Chronic infection of hepatitis B virus (HBV) and hepatitis D virus (HDV) causes the most severe form of viral hepatitis. Due to the dependence on HBV, HDV was deemed to co-evolve and co-migrate with HBV. However, we previously found that the naturally occurred HDV/HBV combinations do not always reflect the most efficient virological adaptation (Wang et al., 2021). Moreover, regions with heavy HBV burden do not always correlate with high HDV prevalence (e.g., East Asia), and vice versa (e.g., Central Asia). Herein, we systematically elucidated the spatiotemporal evolutionary landscape of HDV to understand the unique epidemic features of HDV. We found that the MRCA of HDV was from South America around the late 13th century, was globally dispersed mainly via Central Asia, and evolved into eight genotypes from the 19th to 20th century. In contrast, the MRCA of HBV was from Europe ∼23.7 thousand years ago (Kya), globally dispersed mainly via Africa and East Asia, and evolved into eight genotypes ∼1100 years ago. When HDV stepped in, all present-day HBV genotypes had already formed and its global genotypic distribution had stayed stable geographically. Nevertheless, regionalized HDV adapted to local HBV genotypes and human lineages, contributing to the global geographical separation of HDV genotypes. Additionally, a sharp increase in HDV infections was observed after the 20th century. In conclusion, HDV exhibited a distinct spatiotemporal distribution path compared with HBV. This unique evolutionary relationship largely fostered the unique epidemic features we observe nowadays. Moreover, HDV infections may continue to ramp up globally, thus more efforts are urgently needed to combat this disease.

Autonomous Exploration Method of Unmanned Ground Vehicles Based on an Incremental B-Spline Probability Roadmap.

Autonomous exploration in unknown environments is a fundamental problem for the practical application of unmanned ground vehicles (UGVs). However, existing exploration methods face difficulties when directly applied to UGVs due to limited sensory coverage, conservative exploration strategies, inappropriate decision frequencies, and the non-holonomic constraints of wheeled vehicles. In this paper, we present IB-PRM, a hierarchical planning method that combines Incremental B-splines with a probabilistic roadmap, which can support rapid exploration by a UGV in complex unknown environments. We define a new frontier structure that includes both information-gain guidance and a B-spline curve segment with different arrival orientations to satisfy the non-holonomic constraint characteristics of UGVs. We construct and maintain local and global graphs to generate and store filtered frontiers. By jointly solving the Traveling Salesman Problem (TSP) using these frontiers, we obtain the optimal global path traversing feasible frontiers. Finally, we optimize the global path based on the Time Elastic Band (TEB) algorithm to obtain a smooth, continuous, and feasible local trajectory. We conducted comparative experiments with existing advanced exploration methods in simulation environments of different scenarios, and the experimental results demonstrate that our method can effectively improve the efficiency of UGV exploration.

Participatory Development of an Integrated, eHealth-Supported, Educational Care Pathway (Diabetes Box) for People With Type 2 Diabetes: Development and Usability Study.

BACKGROUND: Type 2 diabetes (T2D) tremendously affects patient health and health care globally. Changing lifestyle behaviors can help curb the burden of T2D. However, health behavior change is a complex interplay of medical, behavioral, and psychological factors. Personalized lifestyle advice and promotion of self-management can help patients change their health behavior and improve glucose regulation. Digital tools are effective in areas of self-management and have great potential to support patient self-management due to low costs, 24/7 availability, and the option of dynamic automated feedback. To develop successful eHealth solutions, it is important to include stakeholders throughout the development and use a structured approach to guide the development team in planning, coordinating, and executing the development process. OBJECTIVE: The aim of this study is to develop an integrated, eHealth-supported, educational care pathway for patients with T2D. METHODS: The educational care pathway was developed using the first 3 phases of the Center for eHealth and Wellbeing Research roadmap: the contextual inquiry, the value specification, and the design phase. Following this roadmap, we used a scoping review about diabetes self-management education and eHealth, past experiences of eHealth practices in our hospital, focus groups with health care professionals (HCPs), and a patient panel to develop a prototype of an educational care pathway. This care pathway is called the Diabetes Box (Leiden University Medical Center) and consists of personalized education, digital educational material, self-measurements of glucose, blood pressure, activity, and sleep, and a smartphone app to bring it all together. RESULTS: The scoping review highlights the importance of self-management education and the potential of telemonitoring and mobile apps for blood glucose regulation in patients with T2D. Focus groups with HCPs revealed the importance of including all relevant lifestyle factors, using a tailored approach, and using digital consultations. The contextual inquiry led to a set of values that stakeholders found important to include in the educational care pathway. All values were specified in biweekly meetings with key stakeholders, and a prototype was designed. This prototype was evaluated in a patient panel that revealed an overall positive impression of the care pathway but stressed that the number of apps should be restricted to one, that there should be no delay in glucose value visualization, and that insulin use should be incorporated into the app. Both patients and HCPs stressed the importance of direct automated feedback in the Diabetes Box. CONCLUSIONS: After developing the Diabetes Box prototype using the Center for eHealth and Wellbeing Research roadmap, all stakeholders believe that the concept of the Diabetes Box is useful and feasible and that direct automated feedback and education on stress and sleep are essential. A pilot study is planned to assess feasibility, acceptability, and usefulness in more detail.

A Roadmap for Training in Urogynecology: IUGA International Initiative.

INTRODUCTION AND HYPOTHESIS: Training in urogynecology is an important mission of the International Urogynecological Association (IUGA). Promoting official training programs in countries around the world is an integral part of this mission. METHODS: The IUGA established the Fellowship Development Committee to develop a roadmap to assist countries to develop a professional training program in urogynecology. Two focus groups were created: the curricula topics focus group and the survey focus group. The curricula topics focus group is aimed at developing a list of subjects that can be the basis for a training syllabus. The survey focus group is aimed at understanding the main steps and the difficulties in establishing an official training program by interviewing representatives from both accredited and non-accredited countries and developing a roadmap for an official training program recognized by the local authorities. RESULTS: The fellowship development committee included 13 members. The curricula topics focus group developed a format for the description of each included topic. Each topic had to include a description of the required related skills and procedures. Two curricula topics lists were created: one for basic training and a second for advanced training. The survey focus group conducted two table discussions with representatives from countries with accredited training programs and countries without accredited training programs. The comments of these meetings were summarized in documents submitted to the IUGA board of directors. CONCLUSION: The fellowship development committee studied the main hurdles to developing an official training program in urogynecology. The roadmap document should form the basis of the IUGA international initiative to assist countries around the world to develop an official training program in urogynecology recognized by the local authority.

The online educational tool "Roadmap to EEGs" significantly improved trainee performance in recognizing EEG patterns.

OBJECTIVE: We created a framework to assess the competency-based EEG curriculum, outlined by the International League Against Epilepsy (ILAE) through a video-based online educational resource ("Roadmap to EEGs") and assessed its effectiveness and feasibility in improving trainees' knowledge. METHODS: Ten video-based e-learning modules addressed seven key topics in EEG and epileptology (normal EEG, normal variants, EEG artifacts, interictal epileptiform discharges (IED), focal seizures, idiopathic generalized epilepsy (IGE), and developmental and epileptic encephalopathies (DEE)). We posted the educational videos on YouTube for free access. Pre- and post-tests, each comprising 20 multiple-choice questions, were distributed to institution leadership and advertised on social media platforms to reach a global audience. The tests were administered online to assess the participants' knowledge. Pre- and post-test questions showed different EEG samples to avoid memorization and immediate recall. After completing the post-test, participants were asked to respond to 7 additional questions assessing their confidence levels and recommendations for improvement. RESULTS: A total of 52 complete and matched pre- and post-test responses were collected. The probability of a correct response was 73% before teaching (95% CI: 70%-77%) and 81% after teaching (95% CI: 78%-84%). The odds of a correct response increased significantly by 59% (95% CI: 28%-98%, p < .001). For participants having >4 weeks of EEG training, the probability of a correct response was 76% (95% CI: .72-.79) and 81% after teaching (95% CI: .78-.84). The odds of answering correctly increased by 44% (95% CI: 15%-80%, p = .001). Participants felt completely confident in independently interpreting and identifying EEG findings after completing the teaching modules (17.1% before vs. 37.8% after, p-value < .0001). 86.5% of participants expressed a high likelihood of recommending the module to other trainees. SIGNIFICANCE: The video-based online educational resource allows participants to acquire foundational knowledge in EEG/epilepsy, and participants to review previously learned EEG/epilepsy information.

A roadmap for the implementation of a renewable energy community.

Environmental problems due to climate change, that have been affecting our planet for years, are the main issues which prompted European Union to establish the ambitious target of achieving carbon neutrality by 2050. This occurrence encouraged all Member States to undergo significant changes of their energy sectors, favouring the extensive use of renewable energy sources. In this scenario, the European Union introduced Renewable Energy Communities, innovative energy systems based on a new model of renewable energy production, consumption and sharing, guaranteeing environmental, economic, energy and social benefits. The objective of this paper is twofold: firstly, to examine the regulatory framework of Member States and, secondly, to present a standardized procedure for the implementation of a Renewable Energy Community, an aspect not yet covered in scientific literature. The roadmap includes four main phases: a feasibility study involving an energy analysis of end users' consumption and a general assessment; the aggregation of members as producers, consumers or prosumers forming a legal entity, considering different funding opportunities; the operating phase, involving plant construction and project validation by national authorities; the technical and economic management phase. The dynamic structure of the roadmap allows for adjustments to accommodate different regulatory contexts, member typologies and project aim.

Digital tools for youth health promotion: principles, policies and practices in sub-Saharan Africa.

Although digital health promotion (DHP) technologies for young people are increasingly available in low- and middle-income countries (LMICs), there has been insufficient research investigating whether existing ethical and policy frameworks are adequate to address the challenges and promote the technological opportunities in these settings. In an effort to fill this gap and as part of a larger research project, in November 2022, we conducted a workshop in Cape Town, South Africa, entitled 'Unlocking the Potential of Digital Health Promotion for Young People in Low- and Middle-Income Countries'. The workshop brought together 25 experts from the areas of digital health ethics, youth health and engagement, health policy and promotion and technology development, predominantly from sub-Saharan Africa (SSA), to explore their views on the ethics and governance and potential policy pathways of DHP for young people in LMICs. Using the World Café method, participants contributed their views on (i) the advantages and barriers associated with DHP for youth in LMICs, (ii) the availability and relevance of ethical and regulatory frameworks for DHP and (iii) the translation of ethical principles into policies and implementation practices required by these policies, within the context of SSA. Our thematic analysis of the ensuing discussion revealed a willingness to foster such technologies if they prove safe, do not exacerbate inequalities, put youth at the center and are subject to appropriate oversight. In addition, our work has led to the potential translation of fundamental ethical principles into the form of a policy roadmap for ethically aligned DHP for youth in SSA.

Role of dynamic road-mapping in renal denervation procedures.

Dynamic road-mapping (DRM) (Dynamic Coronary Roadmap; Philips) offers a real-time, dynamic overlay of the coronary tree on fluoroscopy.

Toward mechanistic medical digital twins: some use cases in immunology.

A fundamental challenge for personalized medicine is to capture enough of the complexity of an individual patient to determine an optimal way to keep them healthy or restore their health. This will require personalized computational models of sufficient resolution and with enough mechanistic information to provide actionable information to the clinician. Such personalized models are increasingly referred to as medical digital twins. Digital twin technology for health applications is still in its infancy, and extensive research and development is required. This article focuses on several projects in different stages of development that can lead to specific-and practical-medical digital twins or digital twin modeling platforms. It emerged from a two-day forum on problems related to medical digital twins, particularly those involving an immune system component. Open access video recordings of the forum discussions are available.