BACKGROUND: Low health literacy among patients hinders comprehension of care instructions and worsens outcomes, yet most otolaryngology patient materials and chatbot responses to medical inquiries exceed the recommended reading level of sixth- to eig...
Electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) have emerged as a transformative technology with applications spanning robotics, virtual reality, medicine, and rehabilitation. However, existing BCI frameworks face several limitati...
Mass spectrometry (MS) analysis plays a crucial role in the biomedical field; however, the high dimensionality and complexity of MS data pose significant challenges for feature extraction and classification. Deep learning has become a dominant approa...
BACKGROUND: Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals with widespread environmental persistence and human exposure. Currently, no studies have used machine learning (ML) to predict depression based on PFAS exposure. This stud...
Raman spectroscopy is a key technology for to ensure sustainable and efficient food safety practices owing to its non-invasive and sensitive molecular analysis. This review highlights the recent advancements in Raman-based techniques, which offer imp...
Wearable biochemical sensors enabling non-invasive monitoring of biomarkers in bodily fluids play a pivotal role in advancing personalized healthcare. The state-of-the-art wireless and wearable biochemical sensors still suffer from large form factors...
Alkaline phosphatase (ALP) is a clinically important hydrolase enzyme and a valuable biomarker for hepatobiliary diseases, metabolic bone disorders, and certain malignancies. Raman-based miniaturized sensors, particularly those employing surface-enha...
International journal of radiation oncology, biology, physics
Aug 5, 2025
PURPOSE: Neural signals-based respiratory motion tracking offers a potential solution to the system latency issue of medical linear accelerators in respiratory motion tracking radiation therapy. However, decoding respiratory-related neural signals fr...
BACKGROUND: Major depressive disorder (MDD) has been diagnosed through subjective and inconsistent clinical assessments. Resting-state functional magnetic resonance imaging (rs-fMRI) with connectivity analysis has been valuable for identifying neural...
International journal of pharmaceutics
Aug 5, 2025
Prostate cancer (PCa) represents one of the most prevalent cancers among men, with substantial challenges in timely and accurate diagnosis and subsequent treatment. Traditional diagnosis and treatment methods for PCa, such as prostate-specific antige...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.