This guide will take approximately 5 minutes to complete.
The purpose of this guide is to help you identify biomarkers associated with treatment response or the course of a disease of interest.
You will learn how to locate:
- Biomarkers associated with response to treatment X
- Biomarkers to monitor the course of disease Y
Step 0: Login
Refer to https://med.causaly.com
TIP! In case you’ve forgotten your password, you can recover it here.
A. Identify biomarkers associated with response to treatment X
Step 1: Identify biomarkers associated with response to treatment X
To explore all biomarkers associated with treatment response for a specific drug, use Causaly Discover in the Causaly home page (Figure 1).
Figure 1. Causaly Discover on the Causaly homepage
Begin your search by typing your question into the Causaly Discover search bar in natural language (Figure 2). “What are the biomarkers of treatment response to anti-PD1 monoclonal antibody” will be used as an example (link).
Figure 2: Directly ask a question in natural language in the Causaly Discover search bar
Click "Search" or hit Enter on your keyboard to run the search, which will direct you to the Causaly Discover results page.
Causaly Discover offers an AI-generated summary, complete with in-line citations for transparency into the results, based on the top 20 articles. You can scroll down to view all the documents retrieved in response to your search query.
In addition, Causaly Discover will prompt you to visit the Bio Graph to review the different biomarkers used to monitor treatment response to anti-PD1 therapy in a dendrogram list, enabling you to deep dive into their unique relationships. Click on View analysis to open the Causaly Bio Graph knowledge card (Figure 3).
Figure 3: Causaly Bio Graph card linking your search query to Causaly dendrogram results.
TIP!
- To examine how Causaly retrieves the top 20 documents, please visit this guide.
- If you are used to working with keywords on Intelligent Search and/or would like to review the results directly in the Causaly Biograph, you can select the option to return to your previous Causaly experience and initiate your search there by clicking the “Intelligent Search” option under “Biograph” on top of your Causaly homepage (Figure 4).
Figure 4: The Intelligent Search option below the Biograph card
Before exploring the dendrogram list, you can explore how Causaly constructed the search. Click on the filter panel on the left represented by 3 horizontal lines. You will notice that Causaly has pre-selected some filters to answer your question.
Step 2. Focus on biomarkers of treatment response for therapy X in a disease population of interest
To find biomarkers of treatment response of therapy X in a subpopulation of interest, you can add additional context to your natural language question (Figure 5).
Figure 5: Identify biomarkers of treatment response for anti-PD1 therapy in a patient subpopulation using Causaly Discover (link).
B. Identify biomarkers associated with the course of disease Y
Using Causaly Discover, you can explore and identify biomarkers associated with the course of a disease of interest, including biomarkers of disease progression or survival. Similar to previous approaches, type in your question into Causaly discover (Figure 6).
Figure 6: Identify biomarkers of disease progression for anti-PD1 therapy in a patient subpopulation using Causaly Discover (link).
Selecting on the Bio Graph knowledge card (Figure 7), will open a dendrogram view of results, allowing you to explore your specific biomarker search launched from Discover.
Figure 7: Bio Graph card linking your search query to dendrogram results investigating biomarkers of progression – free survival in the specific patient background of interest
TIP! Clicking on a biomarker of interest in the dendrogram view will reveal a sidebar with the supporting evidence for that relationship. You can further explore the evidence by clicking on the “Inspect” button at the top of this sidebar.
Want to learn more about how to find evidence in Causaly?
Find more information and examples on how to search posts by clicking here.