- 专利标题： METHODS TO INCORPORATE MACHINE LEARNING ANALYTICS FOR OPTIMIZING PROTEIN PURITY, POTENCY AND QUALITY IN AN ON-DEMAND PRODUCTION SYSTEM FOR POINT-OF-CARE DELIVERY
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申请号： US17055149申请日： 2019-05-15
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公开(公告)号： US20210189322A1公开(公告)日： 2021-06-24
- 发明人: GOVIND RAO , YORDAN KOSTOV , BENJAMIN PUNSHON-SMITH , RAJANI ADIGA
- 申请人： UNIVERSITY OF MARYLAND, BALTIMORE COUNTY
- 申请人地址： US MD BALTIMORE
- 专利权人： UNIVERSITY OF MARYLAND, BALTIMORE COUNTY
- 当前专利权人： UNIVERSITY OF MARYLAND, BALTIMORE COUNTY
- 当前专利权人地址： US MD BALTIMORE
- 国际申请： PCT/US2019/032350 WO 20190515
- 主分类号： C12M1/36
- IPC分类号： C12M1/36 ; C12M1/00 ; C12M3/00
摘要：
The present invention relates to cell free protein manufacturing, and more particularly, for integrating machine learning into a portable cell-free bioprocessing system for producing proteins with increased and consistent purity, potency and quality wherein such proteins are prepared on-demand and for point-of-care delivery.
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