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公开(公告)号:US20240120101A1
公开(公告)日:2024-04-11
申请号:US18509835
申请日:2023-11-15
Applicant: SHEBA IMPACT LTD.
Inventor: Yael HABERMAN ZIV , Haya ABBAS , Tzipi BRAUN , Amnon AMIR
Abstract: Herein disclosed are a computer-implemented method, a system, and a kit for assessing/classifying the health status associated with a microbiome profile of a gastrointestinal (GI) sample. The method includes receiving data regarding expression levels of amplicon sequence variants (ASVs) of a V4 region of 16S rRNA in a GI sample of a subject, and utilizing a machine learning algorithm that is trained to distinguish a healthy state from a sick state, a score is computed, and a prediction is made for the presence of a general microbial response that is shared by a large variety of diseases.