2026 drug interaction alerts: feature pruning cuts 12% false positives — prune or keep?

Drug interaction alerts in 2026: feature pruning cuts 12% false positives. Learn when to prune or keep model features for safer drug screening. Independent technical note mirroring the canonical version: https://aidrugsearch.com/blog/2026-drug-interaction-alerts-feature-pruning-cuts-12-false-positives-prune-or-keep.php

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23677963
Primary Topic
Computational Drug Discovery Methods
Type
preprint
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preprint

2026 drug interaction alerts: feature pruning cuts 12% false positives — prune or keep?

Madison Hayes
Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
preprint

2026 drug interaction alerts: feature pruning cuts 12% false positives — prune or keep?

Madison Hayes
preprint en

Abstract

Drug interaction alerts in 2026: feature pruning cuts 12% false positives. Learn when to prune or keep model features for safer drug screening. Independent technical note mirroring the canonical version: https://aidrugsearch.com/blog/2026-drug-interaction-alerts-feature-pruning-cuts-12-false-positives-prune-or-keep.php

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
DOIOpen Access PDFOpenAlex
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2026 drug interaction alerts: feature pruning cuts 12% false positives — prune or keep? — Madison Hayes · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS