<|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 2018-03-04 17:38:02, GEHealthCare from company ge healthcare tweeted. The tweet was "How low can a hospital's flow go? #anesthesia <hyperlink>
#HIMSS18 <hyperlink>". The most similar tweets were, 
1. On 2018-08-16 16:27:00, GEHealthCare handle of company ge healthcare tweeted. The tweet was "What does blood flowing through the heart look like on #ultrasound? ⤵️ Seen in #3D <hyperlink>". This tweet got 51 number of likes. 
2. On 2018-03-06 18:29:01, GEHealthCare handle of company ge healthcare tweeted. The tweet was "Moving towards value, while moving to the cloud <mention> <hyperlink>
#HIMSS18 <hyperlink>". This tweet got 224 number of likes. 
3. On 2020-09-14 06:15:06, CiscoSaudia handle of company cisco tweeted. The tweet was "Now is the time to look beyond “normal” and the “new normal,” and embrace the future of #healthcare with organizational resilience #HealthcareNow <hyperlink> <hyperlink>". This tweet got 1 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
85<|im_end|>
