Algorithmic versus integrative process.

<div><p>Developing scientific and medical innovations continue to be limited by lack of diverse representation among leaders and learners. One key gateway for these goals is graduate school admissions, but comprehensive consideration of all components of applications, which is needed to...

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Bibliographic Details
Main Author:	Minerva A. Orellana (21553459) (author)
Other Authors:	Danielle J. Beetler (14441538) (author), Carmen J. Silvano (21553462) (author), Ryan Wuertz (21553465) (author), Jennifer L. Weisbrod (21553468) (author), Lewis R. Roberts (8539203) (author), Anthony J. Windebank (242898) (author), Felicity T. Enders (5787326) (author), Marina R. Walther-Antonio (4634173) (author)
Published:	2025
Subjects:	Science Policy Biological Sciences not elsewhere classified testable sample size reduce systemic bias one key gateway minimizing subjective biases medical innovations continue many underrepresented backgrounds efficiently minimizing bias effects modification models diverse trainee cohorts diverse student cohorts bias towards admission assessed using one allow fair assessment three review processes phd applicant cohorts biomedical sciences clinical graduate school admissions gatekeep admissions opportunities integrative application review case study details integrative review case study phd admissions review process longstanding clinical admissions results admissions phase trained successful steadily recruited specific students results showed resource intensive prioritizing self last decade final adoption driven narratives comprehensive consideration assess odds
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Algorithmic versus integrative process.

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