Available Technologies

Background

In dermatology, rash shape is a key diagnostic clue, but conventional methods often require invasive tests like serum sampling or biopsies. Urticaria, a human-specific disease, is classified by rash morphology, yet diagnosis and treatment remain limited and mostly symptomatic, highlighting the need for efficient, personalized therapies.

Description and Advantages

Kyoto University researchers developed a system that models physiological states from rash images and created an in-silico database linking rash shapes to parameters. By inputting a rash image, the system estimates underlying physiological changes (Fig. 1). Furthermore, a mathematical "treatment-support program" was developed, enabling non-invasive diagnosis, treatment guidance, and drug efficacy prediction without invasive tests (Fig. 2).

▶ Mathematical model incorporating drug mechanisms of action
 By simply capturing an image of a rash, the system can predict drug efficacy.

▶ Diagnosis and treatment-effect prediction using only rash images
 No invasive examination procedures are required.　　

▶ Applicable to treatment-support systems and drug efficacy evaluation
 Predicts the best drugs for patients without administering them.