Projects

This project centers on the diagnosis and monitoring of health conditions that impact patients' vocal characteristics, including Neurocognitive disorders (NCDs) (signifying cognitive decline), pulmonary disorder (COPD), and heart failure conditions (HF). By utilizing longitudinal voice recordings paired with medical data, we aim to create mathematical vocal characteristics, distance metrics, and machine learning methodologies that are suitable for tracking and categorizing pertinent vocal changes. These characteristics can be helpful for early diagnosis, enhance clinical evaluations of underlying health conditions, boost the effectiveness of treatments, and enhance the prediction of prognosis. A significant strength of this project lies in our transdisciplinary perspectives…

The incidence of own teeth and jawbone anchored implants in the group of older people over the age of 60 has greatly increased in recent decades. In Sweden, life expectancy increases at the same time as illnesses, medications, cognitive and motor impairment make it more difficult to maintain good oral health. Today's methods and resources for prophylaxis for the elderly will be insufficient in the future. The main focus of this study is to find and develop new and invent / utilize existing digital technologies and tools to maintain and improve oral health and quality of life. Technology development and…

Cardiovascular disease is the most common cause of death in Sweden, both in women and in men. About half of the western world's population is ill and dying in any of these diseases. In Sweden, 12 percent of the population has any cardiovascular disease. Research on information and communication technology aimed at people with chronic heart failure to assist in the development of technical solutions through which the target group and its relatives, for example, can deepen their knowledge of the diagnosis, state of illness, nutrition and sleep status and support for good living habits, such as regular meals and sufficient sleep. The…

Bone age assessment (BAA) is an important tool for diagnosis and in determining the time of treatment in a number of pediatric clinical scenarios, as well as in legal settings where it is used to estimate the chronological age of an individual where valid documents are lacking. Traditional methods for BAA suffer from drawbacks, such as exposing juveniles to radiation, intra- and interrater variability, and the time spent on the assessment. The employment of automated methods such as deep learning and the use of magnetic resonance imaging (MRI) can address these drawbacks and improve the assessment of age. In cooperation…

A mobile phone application will be used to collect data during daily life among people who experience breathlessness. Breathlessness is the subjective sensation of breathing discomfort, is common and appears in the daily life of people with cardiorespiratory diseases. Physicians often rely on patient’s history based on symptom recall. The relation between recalled and experienced breathlessness is still poorly understood. This study aims at evaluating the relationship between experienced breathlessness and recalled breathlessness and predicted future breathlessness.

Objective FI-STAR will establish early trials in the Health Care domain building on Future Internet (FI) technology leveraging on the outcomes of FI-PPP Phase 1. It will become self-sufficient after the end of the project and will continue on a sustainable business model by several partners. In order to meet the requirements of a global Health industry FI-STAR will use a fundamentally different, “reverse” cloud approach that is. It will bring the software to the data, rather than bringing the data to the software. FI-STAR will create a robust framework based of the “software to data” paradigm. A sustainable value…