<|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 2019-05-23 13:30:52, NovartisFDN from company novartis tweeted. The tweet was "#DigitalHealth has vast potential to revolutionize the way we keep people healthy &amp; how we deliver healthcare. Read this report on some of the digital innovations that are helping us to expand #HealthForAll &amp; achieve #UHC: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-07-10 11:01:08, NovartisFDN handle of company novartis tweeted. The tweet was "The Novartis Foundation is now fully focused on how #data, #digital and #AI can transform #GlobalHealth <hyperlink> <hyperlink>". This tweet got 48 number of likes. 
2. On 2018-03-07 06:46:48, Novartis handle of company novartis tweeted. The tweet was "Novartis announces collaboration with <mention> to expand #virtual clinical trials that can advance #medicine through the use of emerging #tech. <hyperlink> <hyperlink>". This tweet got 55 number of likes. 
3. On 2018-01-11 20:00:01, Novartis handle of company novartis tweeted. The tweet was ".<mention> works on the frontiers of science, using powerful new technologies w/ the potential for therapeutic breakthroughs. Meet the team. #NextGenScience <hyperlink> <hyperlink>". This tweet got 44 number of likr 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
58<|im_end|>
