Human phenotype ontology entity resolver

This advanced pipeline extracts human phenotype entities from clinical texts and utilizes the sbiobert_base_cased_mli Sentence Bert Embeddings to map these entities to their corresponding Human Phenotype Ontology (HPO) codes.

It also returns associated codes from the following vocabularies for each HPO code: - MeSH (Medical Subject Headings)- SNOMED- UMLS (Unified Medical Language System ) - ORPHA (international reference resource for information on rare diseases and orphan drugs) - OMIM (Online Mendelian Inheritance in Man).

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Use the provided Streamlit playground application to test this service.

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**Covered entities:**

HP

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Using this model can accelerate clinical research and time-to-market for new drugs. It can also improve efficacy of treatments through personalized medicine approaches.

本先进流水线可从临床文本中提取人类表型实体，并借助sbiobert_base_cased_mli 句BERT嵌入（Sentence Bert Embeddings）将这些实体映射至对应的人类表型本体（Human Phenotype Ontology, HPO）编码。

此外，其还将为每个HPO编码关联以下词汇表中的对应编码：医学主题词表（Medical Subject Headings, MeSH）、SNOMED、统一医学语言系统（Unified Medical Language System, UMLS）、罕见病与孤儿药信息国际参考资源（ORPHA）、在线人类孟德尔遗传（Online Mendelian Inheritance in Man, OMIM）。

可通过提供的Streamlit交互式演示应用测试本服务。

**覆盖实体：**
HP

本模型可加速临床研究与新药上市进程，还可通过个性化医疗方案提升治疗有效性。