Robotics & Machine Learning Daily News2024,Issue(MAY.21) :30-31.

Pontificia Universidade Catolica do Rio de Janeiro Reports Findings in Machine L earning (Identifying Substructures That Facilitate Compounds to Penetrate the Bl ood-Brain Barrier via Passive Transport Using Machine Learning Explainer Models)

Robotics & Machine Learning Daily News2024,Issue(MAY.21) :30-31.

Pontificia Universidade Catolica do Rio de Janeiro Reports Findings in Machine L earning (Identifying Substructures That Facilitate Compounds to Penetrate the Bl ood-Brain Barrier via Passive Transport Using Machine Learning Explainer Models)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Rio de Janeiro, Brazil , by NewsRx editors, research stated, “The local interpretable model-agnostic ex planation (LIME) method was used to interpret two machine learning models of com pounds penetrating the blood-brain barrier. The classification models, Random Fo rest, ExtraTrees, and Deep Residual Network, were trained and validated using th e blood-brain barrier penetration dataset, which shows the penetrability of comp ounds in the blood-brain barrier.”

Key words

Rio de Janeiro/Brazil/South America/B lood Brain Barrier/Blood-Brain Barrier/Brain Research/Central Nervous System/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文