When Antibiotics Failed: How AI-Designed Viruses Helped a Patient Fight a Superbug
Published August 13, 2026
At a glance
Views
1,238
Likes
2
Comments
29
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Welcome to Infectious Diseases in Focus. I'm Alberto Saraiva Tiburcio, a board-certified infectious-disease physician with a Master's in Medicine and an MBA in Hospital Infection Control. I am CBIC-certified — holding the Certification in Infection Prevention and Control, the international gold-standard credential iss…
- Published
- August 13, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How When Antibiotics Failed: How AI-Designed Viruses Helped a Patient Fight a Superbug is doing
It has 1.23K views in total. It ranks #15,088,814 among tracked YouTube videos by views.
Key facts about When Antibiotics Failed: How AI-Designed Viruses Helped a Patient Fight a Superbug
- Total views
- 1.23K
- Total likes
- 2
- Total comments
- 29
- Published
- August 13, 2026
- Global rank by views
- #15,088,814
Frequently asked questions
How many views does When Antibiotics Failed: How AI-Designed Viruses Helped a Patient Fight a Superbug have?
When Antibiotics Failed: How AI-Designed Viruses Helped a Patient Fight a Superbug has 1,238 views, 2 likes and 29 comments, ranking #15,088,814 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.