<|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 2018-12-28 14:53:04, UPMCnews from company upmc tweeted. The tweet was "Telemedicine, Pinpointing Breathing Problems, Health Attacks: Headlines from UPMC and the University of Pittsburgh for Dec. 28, 2018. <hyperlink>  #UPMCinnovates #H2P <hyperlink>". The most similar tweets were, 
1. On 2020-05-19 20:19:06, CiscoCanada handle of company cisco tweeted. The tweet was "See what's next for #telehealth and #healthcare in this <mention> digital conference session. #HIMSS20 

➡️ <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2018-11-10 18:05:14, CiscoCommunity handle of company cisco tweeted. The tweet was "For the next few weeks, we're going to highlight how tech is making basic medical care more accessible to people around the world. #GoodHealth #BeTheBridge <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-04-07 16:00:02, Cisco handle of company cisco tweeted. The tweet was "For #WorldHealthDay, we explore how #telehealth tech can help more people gain access to healthcare around the 🌍. Take a look: <hyperlink> #HealthForAll <hyperlink>". This tweet got 53 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
