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AI analyzes texts to spot HIV risk in kenyan teens

NCT ID NCT06566417

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

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Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 26, 2026 · Last updated Sep 01, 2026 · Updated 3 times

Summary

This completed study tested whether analyzing social media messages (like WhatsApp and Instagram) from 400 young women aged 18-24 in Kisumu, Kenya could help identify those at risk for HIV. Researchers used AI to look at language patterns and compared them to standard HIV risk scores. The goal was to see if this approach could eventually be used in clinics to better target prevention tools like PrEP.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could lead to a new way to identify young women at risk for HIV using their social media activity, helping to target prevention efforts more effectively.
What could go wrong
This was a small, completed study that only looked at associations, not a treatment. The approach may not work in real-world clinics or for other populations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

400 people

The number who actually took part.

Started

Feb 2024

Finished

Jul 2025

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Research assistants will recruit young Kenyan women (ages 18-24), attending one of four clinics for any health services. Smart phone ownership and use of SMS, WhatsApp, or other social media is required.

Ages

18 to 24 years

Sex

Female participants only

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Identifying as a young woman (age 18-24 years) * Attending clinic for any health services, including PrEP and HIV testing * Smart phone ownership * Ability to understand Kiswahili, DhoLuo, and/or English * Use of SMS, WhatsApp, and/or other types of social media Exclusion Criteria: • Inability to provide informed consent (e.g., intoxication, developmental delay)

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • KEMRI

    Kisumu, Kenya

More trials for these conditions

Other studies related to the condition(s) this trial covers.