Latest AI and machine learning research in prevention for healthcare professionals.
Laryngopharyngeal reflux (LPR) refers to the retrograde flow of stomach contents into the larynx due to an abnormality involving the upper oesophageal sphincter. It presents with symptoms like frequent hawking, nocturnal cough, globus pharyngeus and unresolving throat discomfort. Studies have focused on LPR in the general population. However, certain cohorts may be more susceptible or silently suf...
Recent advancements in diagnostic technologies have significantly transformed the landscape of respiratory medicine, aiming for early detection, improved specificity and personalized therapeutic strategies. Innovations in imaging such as multi-slice computed tomography (CT) scanners, high-resolution CT and magnetic resonance imaging (MRI) have revolutionized our ability to visualize and assess the...
Recent multi-omic microbiome studies enable integrative analysis of microbes and metabolites, uncovering their associations with various host condit...
Background: Generative artificial intelligence (AI) deployment in academic medical settings raises copyright compliance concerns. Dana-Farber Cancer...
As with many parts of the natural sciences, machine learning interatomic potentials (MLIPs) are revolutionizing the modelling of molecular crystals. H...
Isometric exercises appeal to individuals seeking convenience, privacy, and minimal dependence on equipments. However, such fitness training is ofte...
Over the past decade, collective intelligence, i.e., the intelligence that emerges from collective efforts, has transformed complex problem-solving an...
Effective rehabilitation assessment is essential for monitoring patient progress, particularly in home-based settings. Existing systems often face c...
Knowledge tracing (KT) aims to estimate a student's evolving knowledge state and predict their performance on new exercises based on performance his...
Minoritised ethnic people are marginalised in society, and therefore at a higher risk of adverse online harms, including those arising from the loss...
We present pyCub, an open-source physics-based simulation of the humanoid robot iCub, along with exercises to teach students the basics of humanoid ...
Mental health disorders like depression, anxiety, and stress (DAS) are rising globally. Understanding how diet and lifestyle influence these condition...
Colorectal cancer (CRC) is one of the most prominent cancers globally, with its incidence rising among younger adults due to improved screening practi...
Reflective writing is widely used in health sciences education, but overreliance on generative artificial intelligence (GenAI) could undermine the ref...
OBJECTIVES: This study compares the effects of an artificial intelligence app-based exercise program with group exercise therapy on pain intensity and...
The lack of physical activity presents a significant public health concern, particularly for individuals with disabilities who face heightened risks d...
OBJECTIVES: To develop a corpus annotated for diet-microbiome associations from the biomedical literature and train natural language processing (NLP) ...
BACKGROUND: Heart failure (HF) is a highly prevalent condition characterized by exercise intolerance, an important metric for ambulatory prognosticati...
Diabetes mellitus, a chronic metabolic disorder, is characterized by high blood glucose levels. External insulin administration, along with diet and e...
Group conversations are valuable for second language (L2) learners as they provide opportunities to practice listening and speaking, exercise comple...