Optimizing Clinical Trial Subject Selection: Insights from Exigent Research Network and the Tempus AI TIME Program Collaboration

Background: The Exigent Research Network comprises independent community oncology practices engaged in clinical research. The Tempus AI TIME Program is a robust collection of clinical trial solutions including an AI-powered clinical trial matching software (TApp), a team of oncology screening nurses, a rapid trial activation process, and a patient portal for tracking identified trial matches (LINK). This article describes the Exigent and TIME Program collaboration during a 2-year period and its impact on screening, matching, and enrollment into clinical trials.

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Publication Details

Journal
AI in Precision Oncology
Published
2024-12-01
DOI
https://doi.org/10.1089/aipo.2024.0030
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.24
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article

Optimizing Clinical Trial Subject Selection: Insights from Exigent Research Network and the Tempus AI TIME Program Collaboration

Thomas Weart, Jessica A. Hellyer, James Orsini, Sunil Babu et al.
2 citations
AI in Precision Oncology
Artificial Intelligence in Healthcare and Education
0.24
article

Optimizing Clinical Trial Subject Selection: Insights from Exigent Research Network and the Tempus AI TIME Program Collaboration

Thomas Weart, Jessica A. Hellyer, James Orsini, Sunil Babu, Chelsea K. Osterman, Ajeet Gajra, Annie Darmofal, Chanh Trung Huynh, Pietro Zito, Mahran Shoukier, Hema Vankayala, Sibel Blau, Emily Patnaude, Julio A. Peguero, Daniel N. Efiom-Ekaha, Kyle Kitchen, Samantha Mallahan, Matthew M. Cooney, Mohammed Kanaan, Stephan DiSean Kendall, Danielle Skelly, Janelle Meyer
article en
2 citations

Abstract

Background: The Exigent Research Network comprises independent community oncology practices engaged in clinical research. The Tempus AI TIME Program is a robust collection of clinical trial solutions including an AI-powered clinical trial matching software (TApp), a team of oncology screening nurses, a rapid trial activation process, and a patient portal for tracking identified trial matches (LINK). This article describes the Exigent and TIME Program collaboration during a 2-year period and its impact on screening, matching, and enrollment into clinical trials.

AI in Precision OncologyVol. 1(6)
Oregon Department of Human Services (US), Yorkshire Cancer Research (GB), Utah Cancer Specialists (US), Fort Wayne Medical Institute (US), Virginia Cancer Institute (US), Hematology Oncology Associates of Central New York (US), Cancer Care Northwest (US), Oklahoma Cancer Specialists and Research Institute (US), Center for Cancer and Blood Disorders (US), Tempus Labs (United States) (US), Florida Cancer Specialists & Research Institute (US), Northwest Medical Specialties (US), Hematology Oncology Consultants (US)
Openalex Percentile: Top 39%
Artificial Intelligence in Healthcare and Education
0.24
DOISourceOpenAlex
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