RecruitingOBSERVATIONAL

Biomedical Signal Extraction From Symptom Descriptions: An Observational Registry Using the OpenGenome Platform

This study uses a special computer program called OpenGenome. It collects symptom descriptions that adults share voluntarily and anonymously online. When someone types in their symptoms, the program uses artificial intelligence (AI) to search medical literature from trusted sources like PubMed. It then produces a report linking the symptoms to possible biological signals, explaining them in simple language, and giving a confidence score. The researchers are studying these anonymised reports to see how consistent the AI's findings are, how reliable its scores are, and what common health patterns appear across many different people. No one in the study is contacted, and all the information is kept completely private.

At a glance

Status

Recruiting

Sponsor

OpenGenome

Enrolment target

1,000

Start

05 May 2026

Estimated completion

30 May 2028

Signs and Symptoms Fever Myalgia Skin Diseases Hemorrhagic Fever With Renal Syndrome Zoonoses

What is this study about?

Imagine you're not feeling well and you type your symptoms into a website. This study is all about a program called OpenGenome that aims to understand those symptoms. It's like having a very clever assistant that reads your description and then quickly searches through millions of scientific papers and clinical trial records.

The OpenGenome program uses artificial intelligence (AI) to do this. When you describe your symptoms, it tries to pick out important medical clues, which it calls 'biological signals'. It then explains what those signals might mean in everyday language and even gives a score to show how confident it is in its findings. All of this information helps researchers see if the AI is correctly linking symptoms to medical knowledge.

The main idea behind this study is to learn more about how AI can interpret symptom descriptions and what patterns emerge when many people share their symptoms anonymously. By analysing lots of these reports, researchers can improve the AI and potentially learn more about common health conditions without ever knowing who submitted the information.

Key takeaways

The study uses an AI program called OpenGenome to understand typed symptoms.
Participation is anonymous and involves simply using the OpenGenome website.
No personal information is collected, and you will not be contacted.
Researchers are studying how well the AI works and what symptom patterns appear.
The study aims to improve understanding of symptom descriptions using medical literature.
It's suitable for adults aged 18 and over, of any gender.

Who may be eligible?

This study is for adults aged 18 and over. It's open to everyone, regardless of whether you're male or female.

The main thing to remember is that this study works by analysing symptom descriptions that people type into the OpenGenome website themselves. So, if your submission is automatically generated by another computer program or doesn't contain any clear symptoms or health-related information, it won't be included.

Basically, if you're an adult and you voluntarily type in your symptoms in your own words, your anonymous information could be included in this research.

Could this study suit you?

Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.

Are you 18 years old or older?
Are you typing your symptoms yourself, not from a computer program?
Are your symptoms clear and health-related?
Are you happy for your anonymous symptom description to be used for research?

Answer every question to see your result.

What does participation involve?

Taking part in this study is very straightforward, and you might already be doing it! If you choose to use the OpenGenome platform online and describe your symptoms, your anonymous input might be included in the study data.

There are no visits to clinics or hospitals involved. You won't have any assessments, take any new medications, or need any follow-up appointments. The researchers do not contact anyone who uses the platform. The total duration of your 'participation' is simply the time it takes for you to type in your symptoms. All data is completely anonymous, meaning no one can identify you from your submission.

Potential risks and benefits

There are no direct risks to taking part in this study, as it only uses information you voluntarily and anonymously submit to an online platform. Your personal information is not collected, and you won't be contacted. You won't receive any direct medical benefits from participating, but your anonymous information helps improve an AI tool that could potentially benefit wider medical understanding in the future. Because information is anonymous, you don't need to formally 'withdraw' and can simply stop using the platform at any time.

Locations (1)

OpenGenome
Verified postcode
Friedrichshain, Germany· Recruiting

Common questions

What is the main goal of this study?

The goal is to see how well a computer program called OpenGenome can understand and link people's typed symptom descriptions to real medical information, and to find patterns in these descriptions.

Will I be contacted if I use OpenGenome?

No, you will not be contacted. All submissions are completely anonymous, and the researchers never know who submitted the information.

Is my personal information safe?

Yes, your information is kept completely anonymous when you submit it. No personal details are collected or stored that could identify you.

Do I need to do anything special to participate?

No, you simply use the OpenGenome platform as intended by typing in your symptoms. Your anonymous data might then be included in the study.

Who is funding this research?

The study does not specify funding details, but it is an observational registry using the OpenGenome platform itself.

How to find out more

Richard Koch

richard@opengenome.bio +491634168231 Official trial record

Always speak to your GP or specialist before deciding to take part in a study.