Abstract: Provided are apparatuses, a non-transitory computer-readable medium or media, and methods for supporting predicting of vascular disease using a fundus image of a subject. In certain aspects, disclosed a method including the steps of: extracting a feature information from a first fundus image of the subject based on a machine learning model; generating a second fundus image having a feature which is corresponding to the feature information by mapping a saliency factor to the first fundus image; and displaying the first fundus image and the second fundus image on a display device.

Abstract: The present invention relates to a composition for preventing or treating transplantation rejection or a transplantation rejection disease, comprising a novel compound and a calcineurin inhibitor. A co-administration of the present invention 1) reduces the activity of pathogenic Th1 cells or Th17 cells, 2) increases the activity of Treg cells, 3) has an inhibitory effect against side effects, such as tissue damage, occurring in the sole administration thereof, 4) inhibits various pathogenic pathways, 5) inhibits the cell death of inflammatory cells, and 6) increases the activity of mitochondria, in an in vivo or in vitro allogenic model, a transplantation rejection disease model, a skin transplantation model, and a liver-transplanted patient, and thus inhibits transplantation rejection along with mitigating side effects possibly occurring in the administration of a conventional immunosuppressant alone.

Abstract: A method, performed by a coloring apparatus, of coloring a sketch image includes adding a color pointer on the sketch image, according to an input of a user; determining an object related to a point where the color pointer is located, from among objects configuring the sketch image; and generating a colored image by coloring the determined object, based on a color of the color pointer.

Abstract: The present invention relates to a method for supporting reading of a fundus image of a subject, and a computing device using the same. Specifically, the computing device according to the present invention acquires the fundus image of the subject, extracts attribute information from the fundus image on the basis of a machine learning model for extracting the attribute information of the fundus image, and provides the extracted attribute information to an external entity. In addition, when evaluation information on the extracted attribute information or modification information on the attribute information is acquired, the computing device according to the present invention can also update the machine learning model on the basis of the acquired evaluation information or modification information.

Abstract: The present invention relates to a method for supporting reading of a fundus image of a subject, and a computing device using the same. Specifically, the computing device according to the present invention acquires the fundus image of the subject, extracts attribute information from the fundus image on the basis of a machine learning model for extracting the attribute information of the fundus image, and provides the extracted attribute information to an external entity. In addition, when evaluation information on the extracted attribute information or modification information on the attribute information is acquired, the computing device according to the present invention can also update the machine learning model on the basis of the acquired evaluation information or modification information.