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View article: Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)
Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face) Open
Background: Facial appearance offers a noninvasive window into health. We built FAHR-Face, a foundation model trained on >40 million facial images and fine-tuned it for two distinct tasks: biological age estimation (FAHR-FaceAge) and survi…
View article: Decoding biological age from face photographs using deep learning
Decoding biological age from face photographs using deep learning Open
Because humans age at different rates, a person’s physical appearance may yield insights into their biological age and physiological health more reliably than their chronological age. In medicine, however, appearance is incorporated into m…
View article: Foundation Models for Quantitative Biomarker Discovery in Cancer Imaging
Foundation Models for Quantitative Biomarker Discovery in Cancer Imaging Open
Foundation models represent a recent paradigm shift in deep learning, where a single large-scale model trained on vast amounts of data can serve as the foundation for various downstream tasks. Foundation models are generally trained using …