ML-Based Framework to Predict the Severity of the Symptomatology in Patients with Post-Acute COVID-19 Syndrome.

The paper describes a cohort of patients with post-acute COVID-19 syndrome, evaluated for the first time between week 3 and week 12 from the onset of symptoms following the acute COVID-19 infection. The patient's baseline clinical features were used as predictors. The analysis showed that older patients with comorbidities are at higher risk of developing more long-lasting post COVID-19 symptoms.

Digital Applications Supporting Speech Therapy: Speech Therapists and Parents Insights.

The paper presents perceptions and feedback from speech therapists and parents embracing the idea of using digital tools in improving the language of the children with speech disorders. The authors investigated the perception of speech therapists and parents and their readiness to use digital tools in speech therapy starting from several digital applications from the domain. The feedback was positive, 88.

Empowering healthcare education: A multilingual ontology for medical informatics and digital health (MIMO) integrated to artificial intelligence powered training in smart hospitals.

A comprehensive understanding of professional and technical terms is essential to achieving practical results in multidisciplinary projects dealing with health informatics and digital health. The medical informatics multilingual ontology (MIMO) initiative has been created through international cooperation. MIMO is continuously updated and comprises over 3700 concepts in 37 languages on the Health Terminology/Ontology Portal (HeTOP).

Sex-related differences concerning the profile and evolution of cardiovascular complications in patients with post-acute COVID-19 syndrome.

Background: During the COVID-19 pandemic sex-related differences concerning the spectrum of cardiovascular complications have been observed in the acute infection, and during recovery. This study aims to emphasize sex-related disparities regarding left ventricular systolic function (LVSF), right ventricular function (RVF), diastolic dysfunction (DD), and pericardial pathologies during the post-COVID-19 syndrome.

Methods: 274 patients with post-acute COVID-19 syndrome, 127 men and 147 women, aged under 55, were evaluated within 90 days after the acute illness and followed at 3 and 6 months.

A Digital Tool Supporting Pathology Practice and Identifying Leucocytes.

The aim of this work is to deliver an all-in-one package that contains both the part where the pathologist can manipulate the data as well as predefined models, altogether with the digital pathology interface with a comprehensive component that provides traceability between the identified leucocytes and the underlying possible outcomes of the potential disease. The aim is to directly provide the number of leucocytes and the mass of the cell, only from the image, with minimal intervention from the pathologist, necessary to have a PoC (Proof of Concept) or a prototype. The model was trained on a dataset of around 20,000 models, and the achieved accuracy was approximately 85%.

Mind Note - Application for Mental Health Support.

This paper presents a mobile application supporting mental health combining techniques to detect different mental health disorder symptoms. It provides different interactions, using affirmations, emotions, based on unloading techniques such as writing, drawing, and monitoring associated emotions, providing modalities to save and track progress.

Design of a Synthetic Long Peptide Vaccine Targeting HPV-16 and -18 Using Immunoinformatic Methods.

Human papillomavirus types 16 and 18 cause the majority of cervical cancers worldwide. Despite the availability of three prophylactic vaccines based on virus-like particles (VLP) of the major capsid protein (L1), these vaccines are unable to clear an existing infection. Such infected persons experience an increased risk of neoplastic transformation.

Towards FAIR Data Standardization Using FHIR Genomics Resources Integration in Obstetrics-Gynecology Department Systems.

The paper presents a current situation of the FHIR Genomics resource and an assessment of FAIR data usage and possible future directions. FHIR Genomics forges a path towards data interoperability. By integrating both the FAIR principles and the FHIR resources, we can achieve a higher standardization across healthcare data collection and a smoother data exchange.

Low-Cost Internet-of-Things Water-Quality Monitoring System for Rural Areas.

Water is a vital source for life and natural environments. This is the reason why water sources should be constantly monitored in order to detect any pollutants that might jeopardize the quality of water. This paper presents a low-cost internet-of-things system that is capable of measuring and reporting the quality of different water sources.

Medical informatics and digital health multilingual ontology (MIMO): A tool to improve international collaborations.

Background: Even if English is the leading language for international communication, it is essential to keep in mind that research runs at the local level by local teams generally communicating in their local/national language, especially in Europe among European projects.

Objective: Therefore, the European Federation for Medical Informatics - Working Group on Health Informatics for Inter-regional Cooperation" has one objective: To develop a multilingual ontology focusing on Health Informatics and Digital Health as a collaboration tool that improves international and, in particular, European collaborations.

Results: We have developed the Medical Informatics and Digital Health Multilingual Ontology (MIMO).

Application Using Standard Communication Between Medical Facilities.

The web-based application described in this paper will support the patient to receive the treatment quicker and the physician to generate the prescription easier. The patient will have a real time information if their treatment/prescription is available in the pharmacy. Using a cloud solution will have all the information always available and without delays, the only requirement is the Internet connectivity.

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems.

New trends in the automotive industry such as autonomous driving and Car2X require a large amount of data to be exchanged between different devices. Radar sensors are key components in developing vehicles of the future, therefore these devices are used in a large spectrum of applications, where data traffic is of paramount importance. As a result, communication traffic volumes have become more complex, leading to the research of optimization approaches to be applied at the AUTOSAR level.

Environment Monitoring System Raising Awareness of Sensitive Inhabitants Based on Regression Predictive Modelling.

The system described in this paper notifies the user about possible indoor environmental hazards through a smartphone application. Events such as house fires or increasing levels of dangerous substances are detected; thus, raising the awareness level in regard to the quality of the indoor environment. Our solution is a system that monitors the environment within a room in order to avoid undesired health hazards.

A Practical Experience on the Amazon Alexa Integration in Smart Offices.

Smart offices are dynamically evolving spaces meant to enhance employees' efficiency, but also to create a healthy and proactive working environment. In a competitive business world, the challenge of providing a balance between the efficiency and wellbeing of employees may be supported with new technologies. This paper presents the work undertaken to build the architecture needed to integrate voice assistants into smart offices in order to support employees in their daily activities, like ambient control, attendance system and reporting, but also interacting with project management services used for planning, issue tracking, and reporting.

Continuous Monitoring and Statistical Modelling of Heart Rate Variability.

The paper presents a sensor network system implemented to continuously monitor and detect cardiovascular diseases experienced in patients at high-risk. The device is designed to capture and transmit the ECG signals and pulse to the patientÂťs mobile phone. Later interpretation of the single-lead ECG signals will result into a HRV analysis and heart-rate detection that is compared with the pulse oximeter results for validation.

The EFMI Working Group "Healthcare Informatics for Interregional Cooperation": An Evolving Strategy for Building Cooperation Bridges.

The Working Group "Health Informatics for Interregional Cooperation" (WG HIIC) of the European Federation for Medical Informatics (EFMI) is dedicated to develop, to implement and to disseminate a strategy for promoting exchange of information, knowledge and experiences all around the world and more particularly, between Health Informatics arena players in the different European continent regions.

A Multi-Lingual Dictionary for Health Informatics as an International Cooperation Pillar.

Even if, English is generally used for international communication, it is essential to keep in mind that research is running at the local level by local teams generally communicating in their local/national language. Bearing these in mind, the "European Federation for Medical Informatics Working Group on Health Informatics for Inter-regional Cooperation" has as one of its objectives, to develop a multilingual dictionary focusing on Health Informatics as a collaboration tool allowing improving international and more particularly European cooperation. This dictionary is implemented as a part of HeTOP (Health Terminology/Ontology Portal) which is currently integrating more than 70 terminologies and ontologies in 32 languages.

Alternative Medicine Patient Records Moving to a Digital Environment.

As technology immerses in daily life, all types of clinical practices migrate more on storing medical records on electronically media. The issue is up for debate on several fronts, as both paper and electronic records offer strengths and weaknesses. This paper presents the process of changing from paper medical records to a digital environment in the case of an alternative medicine clinic, having years of stored paper records, with its benefits and challenges.

DNA Encoding Training Using 3D Gesture Interaction.

The work described in this paper summarizes the development process and presents the results of a human genetics training application, studying the 20 amino acids formed by the combination of the 3 nucleotides of DNA targeting mainly medical and bioinformatics students. Currently, the domain applications using recognized human gestures of the Leap Motion sensor are used in molecules controlling and learning from Mendeleev table or in visualizing the animated reactions of specific molecules with water. The novelty in the current application consists in using the Leap Motion sensor creating new gestures for the application control and creating a tag based algorithm corresponding to each amino acid, depending on the position in the 3D virtual space of the 4 nucleotides of DNA and their type.

Regional Monitoring of Cervical Cancer.

Cervical cancer is one of the most important causes of death in women in fertile age in Romania. In order to discover high-risk situations in the first stages of the disease it is important to enhance prevention actions, and ICT, respectively cloud computing and Big Data currently support such activities. The national screening program uses an information system that based on data from different medical units gives feedback related to the women healthcare status and provides statistics and reports.

Gesture Interaction Browser-Based 3D Molecular Viewer.

The paper presents an open source system that allows the user to interact with a 3D molecular viewer using associated hand gestures for rotating, scaling and panning the rendered model. The novelty of this approach is that the entire application is browser-based and doesn't require installation of third party plug-ins or additional software components in order to visualize the supported chemical file formats. This kind of solution is suitable for instruction of users in less IT oriented environments, like medicine or chemistry.

User Interface Design in Medical Distributed Web Applications.

User interfaces are important to facilitate easy learning and operating with an IT application especially in the medical world. An easy to use interface has to be simple and to customize the user needs and mode of operation. The technology in the background is an important tool to accomplish this.

Integrated System for Monitoring and Prevention in Obstetrics-Gynaecology.

A better monitoring of pregnant women, mainly during the third trimester of pregnancy and an easy communication between physician and patients are very important for the prevention and good health of baby and mother. The paper presents an integrated system as support for the Obstetrics - Gynaecology domain consisting in two modules: a mobile application, ObGynCare, dedicated to the pregnant women and a new component of the Obstetrics-Gynaecology Department Information System dedicated to the physicians for a better monitoring of the pregnant women. The mobile application informs the pregnant women about their status, permits them to introduce glycaemia and weight values and has as option pulse and blood pressure acquisition from a smart sensor and provides results in a graphic format.

Client-side Medical Image Colorization in a Collaborative Environment.

The paper presents an application related to collaborative medicine using a browser based medical visualization system with focus on the medical image colorization process and the underlying open source web development technologies involved. Browser based systems allow physicians to share medical data with their remotely located counterparts or medical students, assisting them during patient diagnosis, treatment monitoring, surgery planning or for educational purposes. This approach brings forth the advantage of ubiquity.

Integrated wireless sensor network for monitoring pregnant women.

The paper presents an integrated monitoring system for pregnant women in the third trimester using a mobile cardiotocograph and body sensors. The medical staff has a useful tool to detect abnormalities and prevent unfortunate events in time. The mobile cardiotocograph sends data in real time to a Smartphone that communicates the information in a cloud.