<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2020-07-11 18:00:06, UPMCPhysicianEd from company upmc tweeted. The tweet was "The Cardiac Morphology Master Class from <mention> provides a comprehensive update on major advances in cardiac medicine, as well as a review of various medical and surgical related topics affecting defects of the heart. Earn free CME credit. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-02-18 19:10:10, SiemensHealth handle of company siemens tweeted. The tweet was "The “digital twin” of the heart could be used for diagnosis and treatment as well as for disease prevention.  #HeartMonth #cardiology <hyperlink>". This tweet got 55 number of likes. 
2. On 2019-09-29 22:00:00, GEHealthCare handle of company ge healthcare tweeted. The tweet was "This is an image of the left ventricle. #Doctors use it to understand if there are any complex blood flow issues in the #heart. It was acquired using software created for #ultrasound. #WorldHeartDay <hyperlink> <hyperlink>". This tweet got 133 number of likes. 
3. On 2019-06-04 10:00:01, Pfizer_UK handle of company pfizer tweeted. The tweet was "If you’re here at #BCS2019 our symposium on #heartfailure and #cardiacdisease is about to start - come and join us if you can! <hyperlink>". This tweet got 1 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
