The present invention relates to a method for prognosis the risk of bronchopulmonary dysplasia in premature infant by adjusting a score obtained from lung ultrasound with the gestational age of the infant.

The present invention relates to a method for prognosis the risk of bronchopulmonary dysplasia in premature infant by adjusting a score obtained from lung ultrasound with the gestational age of the infant.

A method for identifying cough sounds in an audio recording of a subject including: operating at least one electronic processor to identify potential cough sounds in the audio recording; operating the at least one electronic processor to transform one or more of the potential cough sounds into corresponding one or more image representations; operating the at least one electronic processor to apply the one or more image representations to a representation pattern classifier trained to confirm that a potential cough sound is a cough sound or is not a cough sound; and operating the at least one electronic processor to flag one or more of the potential cough sounds as confirmed cough sounds based on an output of the representation pattern classifier.

The present disclosure provides a composition, a combination product, a medical device and the like for treating or preventing cancer or a tumor or preventing the recurrence of the cancer or the tumor. The present disclosure provides a composition, a combination product and a medical device for treating or preventing cancer or a tumor or preventing the recurrence of the cancer or the tumor, each of which comprises an immune checkpoint inhibitor and a dendritic cell direct activator or means. In another aspect, the present disclosure provides: a novel cancer treatment method which comprises carrying out a treatment of cancer by employing a combination of a treatment by the administration of an immune checkpoint inhibitor and a treatment for improving the sensitivity to the immune checkpoint inhibitor and, therefore, can be used as an immunotherapy that can be expected to have an excellent therapeutic effect; and a medicine which can be used for the cancer treatment method.

A dental medical record device and a dental medical record method, in which: an image, such as a panoramic photo, a scan image, and a camera image of a patient's oral cavity, is received via artificial intelligence, and charting is performed using the artificial intelligence; and medical records for a treatment area can be read in association with a chart by clicking the treatment area in the image.

A dental medical record device and a dental medical record method, in which: an image, such as a panoramic photo, a scan image, and a camera image of a patient's oral cavity, is received via artificial intelligence, and charting is performed using the artificial intelligence; and medical records for a treatment area can be read in association with a chart by clicking the treatment area in the image.

Magnetic resonance imaging according to the present invention includes T1, T2, or diffusion mapping with improved image resolution. The improved image resolution is achieved by leveraging the delay in the image acquisition to remove the partial volume effect of fluid in and around the tissue being imaged.

Systems and methods for predicting outcome of radiation therapy is described herein. An example method includes receiving respective values for tumor volume of a target patients tumor at first and second time points, and calculating a change in tumor volume between the first and second time points. The method also includes estimating a patient-specific carrying capacity based on a logistic growth model and the change in tumor volume. Additionally, the method includes predicting a volume of the target patient's tumor at a future time point during radiation treatment based, at least in part, on a historical carrying capacity reduction fraction distribution and the patient-specific carrying capacity. The method further includes predicting a patient-specific outcome of radiation therapy for the target patient based, at least in part, on the predicted volume of the target patients tumor at the future time point.

Provided are moving image obtaining means that obtains a moving image of a region including at least a mouth or a peripheral portion of the mouth in a face, analysis means that analyzes a chewing action based on the moving image of the region obtained by the moving image obtaining means, quality determination means that determines quality of the chewing action based on information of the chewing action analyzed by the analysis means, and extraction means that extracts assistance information corresponding to the chewing quality determined by the quality determination means, from chewing information storage means.

A disease prediction method, apparatus, and computer program are provided. A disease prediction method according to several embodiments of the present disclosure can comprise the steps of: constructing a disease prediction model by learning learning data including ribosome data and disease information for learning, acquiring test ribosome data of an examinee; and predicting disease information about the examinee form the test ribosome data by using the disease prediction model. The disease prediction model can accurately predict disease information about the examinee by detecting and learning the characteristics of ribosome data, which vary according to disease information.