Aims : To describe the precision endotyping of asthma and its co-morbidities by linking pathobiological mechanisms with visible properties via specific biomarkers translated into pathway-specific diagnostic tests; to evaluate how artificial intelligence complements standard diagnostic procedures in patients with allergic diseases and asthma; to determine how this approach enhances accurate asthma classification and individualised targeted treatments; and to describe dynamic complex endotypes consisting of several subendotypes and its validation.