AI Research tracking and Machine Learning to filter relevant content and accelerate scientific research
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Gregory is an AI system that uses Machine Learning and Natural Language Processing to track
clinical research and identify papers which improves the wellbeing of patients.
Sources for research can be added by RSS feed or manually.
The output can be seen in a static site, using build.py or via the api provided by the Django Rest Framework.
The docker compose file also includes a Metabase container which is used to build dashboards and manage notifications.
Sources can also be added to monitor Clinical Trials, in which case Gregory can notify a list of email subscribers.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
Gregory is an AI system that uses Machine Learning and Natural Language Processing to track
clinical research and identify papers which improves the wellbeing of patients.
Sources for research can be added by RSS feed or manually.
The output can be seen in a static site, using build.py or via the api provided by the Django Rest Framework.
The docker compose file also includes a Metabase container which is used to build dashboards and manage notifications.
Sources can also be added to monitor Clinical Trials, in which case Gregory can notify a list of email subscribers.檢視完整 README ↗