About Us
Rare Bird is committed to developing a healthcare system
catering to all children with rare diseases.

01




Rare Bird Diagnostics
AI assisted variant analysis models provide user-friendly software with accurate interpretations and high diagnostic rates.
Diagnostic SW
Analyze patients' genome data with AI assisted multi-faceted diagnostic software.
Through the genome data analysis, patients can quickly identify and manage symptoms before they get worse.

RNN knowledge transfer-based WGS (Whole Genome Sequencing) variant pathogenicity prediction modelExpanding the number of interpretable genetic variant types to 6
Developing an AI model that can interpret various structural variants in WGS
Developing an AI model that can interpret various structural variants in WGS

Applying the Attention mechanism
Advancing Explainable AI pathogenicity prediction modelProvide evidence for pathogenicity determinations from AI models
Learning the influence of surrounding gene sequences on variant of interest
Advancing Explainable AI pathogenicity prediction modelProvide evidence for pathogenicity determinations from AI models
Learning the influence of surrounding gene sequences on variant of interest

AI system for interpreting genetic variant pathogenicity based on three AI modelsPredicting the impact of variants on protein function using AI
Calculating the impact of variants on key proteins crucial for diagnosis and treatment
Calculating the impact of variants on key proteins crucial for diagnosis and treatment

Development of virtual panel-based diagnostic software for 9 disease groupsDevelopment of disease-specific diagnostic software based on virtual gene panels for 9 disease groups
Validating the effectiveness of AI software and increasing usability through pilot projects
Validating the effectiveness of AI software and increasing usability through pilot projects

02Gathering treatment information for pediatric rare diseases from a vast amount of medical database.





Rare Bird Treatment
Gathering treatment information for pediatric rare diseases from a vast amount of medical database.
Support a patient's treatment plan and assists in decision-making.
Treatment SW
Search customized treatment and clinical information for patients with rare pediatric diseases.
Supports clinical and decision-making for customized treatment of patients by analyzing various information such as disease guidelines, treatments, and clinical trial data.

Design and implement automated data scraping of the latest information related to diseases and disease causing variantsCollection and classification of medical literature database and clinically curated information
Automated treatment recommendations with deep learning models
Automated treatment recommendations with deep learning models

Literature-based real-time pediatric rare disease treatment information searchReal-time search of treatment information based on PubMed literature
Real-time delivery of up-to-date treatment information based on 33 million cases of data
Real-time delivery of up-to-date treatment information based on 33 million cases of data

Automatic classification of biomedical entity type using natural language processing (NLP)Collecting evidences through AI technology
Automated annotation and systemization of supporting evidences
Automated annotation and systemization of supporting evidences

Provides accurate search function using evidence-related keywordsCurate information collected with evidence-related keywords
Providing complex search functionality based on different types of evidence and interactions between evidences
Providing complex search functionality based on different types of evidence and interactions between evidences

03


Rare Bird Self-Care
Provide mobile-based healthcare services to enable professional management even outside the hospital.
Self-Care SW
Easily record and manage your health status on your mobile phone.
Provide personalized mobile prognosis management by utilizing data from hospital visits, medications, symptoms, and disease data.

Analyze the nutrients of inputted food to provide recommended intake amounts.

Provide rehabilitation video content tailored to the user's disease stage.
