<|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 2019-12-23 18:29:46, GEHealthCare from company ge healthcare tweeted. The tweet was "Why bringing together partners across the #healthcare ecosystem may be the key to tackling its complexity <hyperlink>". The most similar tweets were, 
1. On 2018-01-08 06:17:39, GEHealthCare handle of company ge healthcare tweeted. The tweet was "A breakthrough partnership just made one of the most talked about health trends for 2018 a reality ➡ <hyperlink>
#PrecisionHealth 
#CriticalCare <hyperlink>". This tweet got 144 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
126<|im_end|>
