機械学習を用いた培地成分による細菌増殖の予測
SciPod24 Mar 2022

機械学習を用いた培地成分による細菌増殖の予測

細菌の増殖は多くの化学成分の複雑な相互作用に依存しています。微生物学者たちは長い間培地成分に基づく細菌の増殖予測を試み、そのためにさまざまな数学的および計算モデルを使用してきました。筑波大学(日本)の應(イン) 蓓(ベイ)文(ウェン)博士と同僚は、機械学習の適用により細菌の増殖に対する培地成分の影響を理解することに成功しました。應(イン) 蓓(ベイ)文(ウェン)博士らの研究は細菌増殖の予測に大きく貢献するものであり、生体システムを制御する複雑な動態の探索に機械学習が応用できることを示唆しています。

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