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Unsupervised machine learning identifies biomarkers of disease progression in post-kala-azar dermal leishmaniasis in Sudan.
PLoS neglected tropical diseases
Mar 11, 2025
BACKGROUND: Post-kala-azar dermal leishmaniasis (PKDL) appears as a rash in some individuals who have recovered from visceral leishmaniasis caused by Leishmania donovani. Today, basic knowledge of this neglected disease and how to predict its progres...
Does perceived voluntariness of others' actions induce vicarious sense of agency? Evidence from human-robot interaction.
Consciousness and cognition
Mar 10, 2025
Sense of Agency (SoA) is the feeling of control over one's actions and outcomes. People can experience "vicarious" SoA towards other agents, either other humans or artificial agents such as robots. A commonly used measure of implicit SoA is the Inten...
Overconfident, but angry at least. AI-Based investigation of facial emotional expressions and self-assessment bias in human adults.
BMC psychology
Mar 10, 2025
Metacognition and facial emotional expressions both play a major role in human social interactions [1, 2] as inner narrative and primary communicational display, and both are limited by self-monitoring, control and their interaction with personal and...
Analysing how AI-powered chatbots influence destination decisions.
PloS one
Mar 10, 2025
This study aims to explore the role of destination chatbots as innovative tools in travel planning, focusing on their ability to enhance user experiences and influence decision-making processes. Based on the Technology Acceptance Model, Enterprise Co...
Factors associated with the development of severe asthma: A nationwide study (FINASTHMA).
Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
Mar 9, 2025
BACKGROUND: Severe asthma presents a major challenge to health care and negatively affects the quality of life of patients. Understanding the factors predicting the development of severe asthma is limited.
Validity of recurrent neural networks to predict pedal forces and lower limb kinetics in cycling.
Journal of biomechanics
Mar 8, 2025
Dynamic variables contribute to understand the mechanics of pedalling and can assist with injury prevention. Measuring pedal forces and joint moments and powers has a high cost, which can be mitigated by using trained artificial neural networks (ANN)...
Power-free knee rehabilitation robot for home-based isokinetic training.
Nature communications
Mar 8, 2025
Robot-assisted isokinetic training has been widely adopted for knee rehabilitation. However, existing rehabilitation facilities are often heavy, bulky, and extremely energy-consuming, which limits the rehabilitation opportunities only at designated h...
A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations.
Nature human behaviour
Mar 7, 2025
This study introduces a unified computational framework connecting acoustic, speech and word-level linguistic structures to study the neural basis of everyday conversations in the human brain. We used electrocorticography to record neural signals acr...
Prediction of postpartum depression in women: development and validation of multiple machine learning models.
Journal of translational medicine
Mar 7, 2025
BACKGROUND: Postpartum depression (PPD) is a significant public health issue. This study aimed to develop and validate machine learning (ML) models using biopsychosocial predictors to predict the risk of PPD for perinatal women and to provide several...
Development of artificial intelligence-based algorithms for the process of human identification through dental evidence.
International journal of legal medicine
Mar 6, 2025
INTRODUCTION: Forensic Odontology plays a crucial role in medicolegal identification by comparing dental evidence in antemortem (AM) and postmortem (PM) dental records, including orthopantomograms (OPGs). Due to the complexity and time-consuming natu...
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