<|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 2019-05-10 11:00:07, UPMCPhysicianEd from company upmc tweeted. The tweet was "It's a #FreeCourseFriday dedicated to #cardiotwitter with a CME titled, "Bypass Angiography And PCI." <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-07-18 08:44:06, SiemensHealth handle of company siemens tweeted. The tweet was "Percutaneous coronary intervention (#PCI) presents challenges for both the patient and the medical team. How can robotic technology help? #ECR2020 <hyperlink> <hyperlink>". This tweet got 56 number of likes. 
2. On 2019-02-28 10:02:49, SiemensHealth handle of company siemens tweeted. The tweet was "ICYMI: Meet our new family of #angiography systems - the ARTIS icono* (*currently under development) #ECR2019 <hyperlink> <hyperlink>". This tweet got 53 number of likes. 
3. On 2019-10-27 17:02:41, MastercardNews handle of company mastercard tweeted. The tweet was "Join us at the <mention> (booth #620) as we showcase the tech we're delivering to help both healthcare payers and providers. #HLTH2019 <hyperlink>". This tweet got 229 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
