応募書類の受付は4月26日13時に締め切りました。
書類の受諾状況は、5月中旬頃に応募者登録サイトに表示されます。
"Application forms were closed at 13:00 on 26 April.
The acceptance status of documents will be displayed on the registration website around mid-May."
『高ベネフィットアプローチ:次世代の個別化医療における機械学習を用いた効果の異質性評価』
In medicine, clinicians treat individuals with a high risk of diseases under an implicit assumption that risk is correlated with benefit. However, high-risk patients are not always the ones who benefit most from the treatment, and treating individuals with the highest estimated “benefit” (rather than “risk”) may improve population health outcomes. In this presentation, I will introduce a state-of-the-art machine learning algorithm to assess heterogeneity by predicting the treatment effect at individual levels. Then I will share the concept ("high-benefit approach") and application examples to maximize the effectiveness of treatment and resource allocation toward future precision medicine.