<|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 2020-04-03 12:00:13, UPMCPhysicianEd from company upmc tweeted. The tweet was "In this free #CME, Dr. Ravi Ramani reviews the latest updates in heart failure, presents case scenarios and disease factors, and identifies treatment options. <hyperlink> <mention> <hyperlink>". The most similar tweets were, 
1. On 2019-10-15 07:30:01, Pfizer_UK handle of company pfizer tweeted. The tweet was "Our Rare Disease team are hosting a scientific symposium at #RCR19conf with Dr Marianna Fontana and Dr Rob Cooper, discussing rare causes of heart failure and how to diagnose them. Join if you’re there! <hyperlink>". This tweet got 6 number of likes. 
2. On 2020-01-01 06:09:33, IndependentNGR handle of company independent tweeted. The tweet was "Israeli Researchers Develop Innovative Drug For Heart Failure <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-05-24 13:28:20, MayoClinic handle of company mayo clinic tweeted. The tweet was "World-renowned heart experts at Mayo Clinic treat complex heart rhythm disorders. <hyperlink> <hyperlink>". This tweet got 83 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
