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MIRD Pamphlet No. 31: MIRDcell V4—Artificial Intelligence Tools to Formulate Optimized Radiopharmaceutical Cocktails for Therapy.

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Title: MIRD Pamphlet No. 31: MIRDcell V4—Artificial Intelligence Tools to Formulate Optimized Radiopharmaceutical Cocktails for Therapy.
Authors: Katugampola, Sumudu1 (AUTHOR), Wang, Jianchao1 (AUTHOR), Howell, Roger W.1 (AUTHOR) rhowell@rutgers.edu, Barbee, Rachel Marie (AUTHOR), Bertolet, Alejandro (AUTHOR), Bolch, Wesley E. (AUTHOR), Dewaraja, Yuni K. (AUTHOR), Erwin, William D. (AUTHOR), Ferri, Valentina (AUTHOR), Ivashchenko, Oleksandra V. (AUTHOR), Kesner, Adam L. (AUTHOR), Laforest, Richard (AUTHOR), Peterson, Todd E. (AUTHOR), Rajendran, Joseph G. (AUTHOR), Sgouros, George (AUTHOR), Uribe, Carlos F. (AUTHOR), Zanzonico, Pat B. (AUTHOR)
Source: Journal of Nuclear Medicine. Dc2024, Vol. 65 Issue 12, p1965-1973. 9p.
Database: Engineering Source
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Nuclear+Medicine%22">Journal of Nuclear Medicine</searchLink>. Dc2024, Vol. 65 Issue 12, p1965-1973. 9p.
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        Value: 10.2967/jnumed.123.267238
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        Text: English
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        StartPage: 1965
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      – TitleFull: MIRD Pamphlet No. 31: MIRDcell V4—Artificial Intelligence Tools to Formulate Optimized Radiopharmaceutical Cocktails for Therapy.
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              M: 12
              Text: Dc2024
              Type: published
              Y: 2024
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