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arXiv Machine Learning By Trisha Das, Mandis Beigi, Jacob Aptekar, Jimeng Sun

$\texttt{AMEND++}$: Benchmarking Eligibility Criteria Amendments in Clinical Trials

Read the original on arXiv Machine Learning →

arXiv:2601. 06300v2 Announce Type: replace-cross Abstract: Clinical trial amendments frequently introduce delays, increased costs, and administrative burden, with eligibility criteria being the most commonly amended component.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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