# How can Emedgene help you solve a case?

The AI-powered Emedgene platform utilizes machine learning throughout the analysis and interpretation workflow to deliver the fastest time from genomic data to decisions. We apply machine learning models that retrieve evidence-backed answers and provide exceptional decision support.

* Using automated interpretation algorithms, Emedgene generates an accurate shortlist of up to 10 potential causative variants. In a joint study of 180 solved cases with Baylor Genetics, 96% of cases were successfully solved by the algorithm. See Meng et al, [Genetics in Medicine](https://pubmed.ncbi.nlm.nih.gov/36939041/), 2023 publication for more details.
* The platform is not a black box, and overlays a layer of explainable AI (XAI), presenting supporting evidence from the literature and databases which significantly reduces the time to interpret a case.
* The algorithms use a proprietary Emedgene knowledge graph which incorporates information extracted from literature with Natural Language Processing, as well as from public databases and is updated on a monthly basis.
* Dozens of additional algorithms are incorporated throughout the workflow.

Overall, the system combines AI in a highly optimized and customizable workbench, in order to automate the most time-intensive aspects of genomic analysis and research.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://help.connected.illumina.com/emedgene/get-started-with-emedgene/how_can_emedgene_help_you_solve_a_case.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
