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Dynamic emotion intensity estimation from physiological signals facilitating interpretation via appraisal theory.
PLoS One
January 2025
Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, South Tyrol, Italy.
Appraisal models, such as the Scherer's Component Process Model (CPM), represent an elegant framework for the interpretation of emotion processes, advocating for computational models that capture emotion dynamics. Today's emotion recognition research, however, typically classifies discrete qualities or categorised dimensions, neglecting the dynamic nature of emotional processes and thus limiting interpretability based on appraisal theory. In our research, we estimate emotion intensity from multiple physiological features associated to the CPM's neurophysiological component using dynamical models with the aim of bringing insights into the relationship between physiological dynamics and perceived emotion intensity.
View Article and Find Full Text PDFArtificial Intelligence (AI) and Liquid Biopsy Transforming Early Detection of Liver Metastases in Gastrointestinal Cancers.
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January 2025
Department of Pharmacology, Sri Shanmugha College of Pharmacy, Sankari, Salem, 637304, Tamil Nadu, India.
Liver metastases from Gastrointestinal (GI) cancers present significant challenges in oncology, often signaling poor prognosis. Traditional detection methods like imaging and tissue biopsies have limitations in sensitivity, specificity, and tumor heterogeneity represen-tation. The advent of artificial intelligence (AI) in healthcare, driven by advancements in ma-chine learning, algorithms, and data science, offers a promising frontier for early detection and management of liver metastases.
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Late diagnosis is one of the major obstacles for the treatment of breast cancer which can be overcome with a system offering sensitive imaging and selective therapeutic effect. In this study, we developed a "dark-bright" multifunctional drug delivery system bringing real-time imaging and non-invasive therapy together. Theranostic ability of the system was delivered by Verteporfin (VP), serving as a fluorescence probe and a photosensitizer.
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iScience
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Department of Thoracic Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Currently, the primary imaging methods used in clinical diagnosis are X-ray, computed tomography (CT), ultrasound, magnetic resonance imaging (MRI), PET-CT, etc. The sensitivity and accuracy of these imaging methods bring many difficulties in clinical diagnosis; at the same time, CT, X-ray, PET-CT, etc. can cause radiation to the human body; some invasive operations of the gold standard bring much pain to the patients.
View Article and Find Full Text PDFA Literature Review on Oral Lumenoscopy: A Non-invasive Method for Diagnosing Oral Potentially Malignant Disorders.
Cureus
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Oral Medicine and Radiology, SRM Kattankulathur Dental College and Hospital, SRM Institute of Science and Technology (SRMIST), Chennai, IND.
Dentistry still faces difficulties in diagnosing oral precancer and cancer, especially when it comes to early phase changes or disease detection, evaluation, and treatment. In essence, oral lumenography is the process of identifying oral lesions using a chemiluminescent light source and a toluidine blue labeling system. Since neoplastic epithelial cells have a changed nuclear-cytoplasmic ratio, acetic acid dehydration brings out this nuclear density and gives the tissue an "acetowhite" look.
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