Protiva Rahman

Development and validation of a predictive model using clinical, molecular, and social determinants of health data to improve Hepatitis C detection in underserved populations

Mariah Jordan, Protiva Rahman, ALI ZARRINPAR

Characterizing Continuous Glucose Monitoring Prescription Patterns Between 2020 and 2024: A Retrospective Study at a Single Primary Care Facility in the United States

Rahma S. Mkuu, Protiva Rahman, Daniela Rivero‐Mendoza, William Troy Donahoo et autres

OBJECTIVE: Examine the factors associated with continuous glucose monitoring (CGM) device prescriptions in a primary care facility. MATERIALS AND METHODS: We conducted a retrospective study of 1476 patients with Type 1 and Type 2 diabetes receiving care at a single primary care …

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Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study

Jeremy A. Balch, Sasank Desaraju, Victoria J. Nolan, Divya Vellanki et autres

Background: Operative notes are frequently mined for surgical concepts in clinical care, research, quality improvement, and billing, often requiring hours of manual extraction. These notes are typically analyzed at the document level to determine the presence or absence of specific procedures or …

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Abstract 1118: The GENIE BPC BRCA Cohort: a real-world repository of standardized clinical and genomic data for young patients with breast cancer

Evan Seffar, Brooke Mastrogiacomo, Alex Paynter, Protiva Rahman et autres

Abstract Purpose: The first comprehensive analysis of the detailed clinico-genomic landscape of the breast cancer (BC) cohort of the American Association for Cancer Research (AACR) Project Genomics Evidence Neoplasia Information Exchange (GENIE) Biopharma Collaborative (BPC). Methods: We analyzed 1, 045 BC patients …

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Aggregation and Contextualization of Murine Investigations Improves Discovery of Significant Human Atherosclerotic Cardiovascular Disease Associations

Megan M. Shuey, Yihua Wang, Rachel R. Xiang, Aaron Zou et autres

Preclinical murine models are foundational for investigating pathobiologic mechanisms.Despite decades of preclinical studies, the promise of linking specific genes identified in these studies to human disease mechanisms and novel therapies remains largely unfulfilled.1,2 One prominent example is atherosclerosis, the leading cause of …

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Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data

Levente Lippenszky, Kathleen F. Mittendorf, Zoltán Kiss, Michele L. Lenoue-Newton et autres

PURPOSE: Although immune checkpoint inhibitors (ICIs) have improved outcomes in certain patients with cancer, they can also cause life-threatening immunotoxicities. Predicting immunotoxicity risks alongside response could provide a personalized risk-benefit profile, inform therapeutic decision making, and improve clinical trial cohort selection. We …

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Accelerated curation of checkpoint inhibitor-induced colitis cases from electronic health records

Protiva Rahman, Cheng Ye, Kathleen F. Mittendorf, Michele L. Lenoue-Newton et autres

Objective: Automatically identifying patients at risk of immune checkpoint inhibitor (ICI)-induced colitis allows physicians to improve patientcare. However, predictive models require training data curated from electronic health records (EHR). Our objective is to automatically identify notes documenting ICI-colitis cases to accelerate data …

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Overcoming barriers in academic-industry partnerships to improve predictive modeling in immuno-oncology.

Kathleen F. Mittendorf, Christine Micheel, Michele L. Lenoue-Newton, Protiva Rahman et autres

e13581 Background: In the past decade, immunotherapies have revolutionized oncology practice by prolonging patient survival in previously rapidly fatal cancers. However, severe immune toxicities present a challenge, affecting ̃20% and up to 50% of patients on immune monotherapies and combination immunotherapies, respectively. …

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Semi-Automated Data Curation from Biomedical Literature.

Protiva Rahman, Daniel Fabbri

Data curation is a bottleneck for many informatics pipelines. A specific example of this is aggregating data from preclinical studies to identify novel genetic pathways for atherosclerosis in humans. This requires extracting data from published mouse studies such as the perturbed gene …

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Abstract 13322: Development of the Preclinical Science Integration and Translation (PRESCIANT) Method and Application to the Apolipoprotein E Knockout Mouse Atherosclerosis Model

Megan M. Shuey, Rachel R. Xiang, M. Elizabeth Moss, Brigett V. Carvajal et autres

Introduction: Animal models of human diseases are used extensively to interrogate molecular mechanisms in a reductionist fashion. We tested whether aggregation and integration of preclinical data can identify new causative pathways that faithfully model human disease mechanisms. We have termed this novel …

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Clinical and genomic predictors of brain metastases (BM) in non-small cell lung cancer (NSCLC): An AACR Project GENIE analysis.

Protiva Rahman, Michele L. Lenoue-Newton, Sandip Chaugai, Marilyn Elaine Holt et autres

2032 Background: 30-50% of patients with non-early NSCLC will eventually develop BM, with a median survival of less than one year from BM diagnosis. There are no widely accepted clinical risk models for development of BM in patients without them at baseline. …

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Amplifying Domain Expertise in Clinical Data Pipelines

Protiva Rahman, Arnab Nandi, Courtney L. Hebert

Digitization of health records has allowed the health care domain to adopt data-driven algorithms for decision support. There are multiple people involved in this process: a data engineer who processes and restructures the data, a data scientist who develops statistical models, and …

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