<|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 2019-07-30 14:17:05, UPMCnews from company upmc tweeted. The tweet was "Pulmonary Rehab, CAR T-Cell Therapy, Nutrition Therapy: These topics and more in this morning's headlines from UPMC and <mention>. <hyperlink> #UPMCinnovates #H2P <hyperlink>". The most similar tweets were, 
1. On 2018-01-23 15:22:10, GEHealthCare handle of company ge healthcare tweeted. The tweet was "#Celltherapy manufacturing capabilities and services that help #labs produce consistent, high-quality medicines ➡️ <hyperlink> <hyperlink>". This tweet got 49 number of likes. 
2. On 2018-01-22 16:37:01, GEHealthCare handle of company ge healthcare tweeted. The tweet was "Manufacturing medical marvels: How a new #celltherapy platform helps scale up manufacturing to reach more #patients <hyperlink> <hyperlink>". This tweet got 81 number of likes. 
3. On 2020-03-26 14:33:49, EMR_Automation handle of company emerson tweeted. The tweet was "The promise of CAR-T therapeutics and the technologies to help them be safe, effective and affordable. #pharma #biotech #covid19 #pauto <hyperlink> <hyperlink>". This tweet got 5 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
