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The perceptual primacy of feeling: Affectless visual machines explain a majority of variance in human visually evoked affect.
Proc Natl Acad Sci U S A
January 2025
Department of Psychology, City College, City University of New York, New York, NY 10031.
Looking at the world often involves not just seeing things, but feeling things. Modern feedforward machine vision systems that learn to perceive the world in the absence of active physiology, deliberative thought, or any form of feedback that resembles human affective experience offer tools to demystify the relationship between seeing and feeling, and to assess how much of visually evoked affective experiences may be a straightforward function of representation learning over natural image statistics. In this work, we deploy a diverse sample of 180 state-of-the-art deep neural network models trained only on canonical computer vision tasks to predict human ratings of arousal, valence, and beauty for images from multiple categories (objects, faces, landscapes, art) across two datasets.
View Article and Find Full Text PDFASO Visual Abstract: Peritoneal Cancer Index Correlates with Radiographic Assessment of Colorectal Carcinomatosis.
Ann Surg Oncol
January 2025
Department of Colon & Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
High-Throughput Chemotherapeutic Drug Screening System for Gastric Cancer (Cure-GA).
Ann Surg Oncol
January 2025
Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Background: Three dimensional (3D) cell cultures can be effectively used for drug discovery and development but there are still challenges in their general application to high-throughput screening. In this study, we developed a novel high-throughput chemotherapeutic 3D drug screening system for gastric cancer, named 'Cure-GA', to discover clinically applicable anticancer drugs and predict therapeutic responses.
Methods: Primary cancer cells were isolated from 143 fresh surgical specimens by enzymatic treatment.
The Multimorbidity Questionnaire (MMQ1): English translation and validation of a Danish patient reported outcome measure for quality of life in people with multiple long-term conditions in a cross-sectional survey.
Qual Life Res
January 2025
Centre of General Practice, Department of Public Health, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Purpose: MMQ1 is a Danish-language patient-reported outcome measure (PROM) for quality of life (QOL) in people with multiple long-term conditions (MLTC). It measures needs-based QOL across six scales: Physical ability, Concerns and worries, Limitations in daily life, Social life, Personal finances and Self-image. There is currently no such measure available in English.
View Article and Find Full Text PDFUpdates on CAD risk assessment: using the coronary artery calcium score in combination with traditional risk factors.
Egypt Heart J
January 2025
Rajaie Cardiovascular, Medical and Research Institute, Valiasr Ave, Hashemi Rafsanjani (Niayesh) Intersection, Tehran, Iran.
Background: Coronary artery disease (CAD) is the third leading cause of death worldwide, so prevention and early diagnosis play important roles to reduce mortality and morbidity. Traditional risk-score assessments were used to find the at-risk patients in order to prevent or early treatment of CAD. Adding imaging data to traditional risk-score systems will able us to find these patients more confidently and reduce the probable mismanagements.
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