Most frequently occurring optimal minimal 37-nutrient set predicted by the Reinforcement Learning algorithm.

<p>Most frequently occurring optimal minimal 37-nutrient set predicted by the Reinforcement Learning algorithm.</p>

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Bibliographic Details
Main Author:	Olga A. Nev (8815283) (author)
Other Authors:	Elena Zamaraeva (18974227) (author), Romain De Oliveira (5639768) (author), Ilia Ryzhkov (19959559) (author), Lucian Duvenage (12908693) (author), Wassim Abou-Jaoudé (230231) (author), Djomangan Adama Ouattara (18974229) (author), Jennifer Claire Hoving (4876258) (author), Ivana Gudelj (236417) (author), Alistair J. P. Brown (8756526) (author)
Published:	2024
Subjects:	Medicine Microbiology Hematology Space Science Biological Sciences not elsewhere classified reinforcement learning approaches identify critical components hampering research efforts findings offer insights empowering potential applications >, remain unculturable identify metabolic requirements div >< p scale metabolic model pneumocystis jirovecii </ pneumocystis </ p </ metabolic modelling jirovecii </ vitro </ silico </ transplant patients threatening pneumonia software tools significant number powerful tool novel strategy major impact longstanding challenge limited progress largely due immunocompromised individuals human health fungal species experimental dissection establishing suitable causes life available information
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