Michael E. Bales
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View article: 378 Leveraging large language models to communicate translational science benefits at Weill Cornell Medicine Clinical and Translational Science Center
378 Leveraging large language models to communicate translational science benefits at Weill Cornell Medicine Clinical and Translational Science Center Open
Objectives/Goals: This Weill Cornell Clinical and Translational Science Collaborative (CTSC) project evaluates whether large language models (LLMs) can generate accurate summaries of translational science benefits using the Translational S…
View article: Using CTSA infrastructure to address health disparities in New York City communities: Barriers and facilitators to implementing a free health screening program
Using CTSA infrastructure to address health disparities in New York City communities: Barriers and facilitators to implementing a free health screening program Open
The Weill Cornell Heart to Heart Community Outreach Campaign (H2H) is a free outreach program that provides mobile health screenings. The program brings medical and nursing faculty and students to the underserved, uninsured communities of …
View article: A retrospective case study of successful translational research: Cardiovascular disease risk assessment, experiences in community engagement
A retrospective case study of successful translational research: Cardiovascular disease risk assessment, experiences in community engagement Open
In underserved communities across New York City, uninsured adults encounter a greater risk of cardiovascular disease (CVD) and diabetes. The Heart-to-Heart Community Outreach Program (H2H) addresses these disparities by screening for CVD r…
View article: A Retrospective Case Study of Successful Translational Research: Cardiovascular Disease Risk Assessment, Experiences in Community Engagement
A Retrospective Case Study of Successful Translational Research: Cardiovascular Disease Risk Assessment, Experiences in Community Engagement Open
In underserved communities in New York City, uninsured adults encounter a greater risk of cardiovascular disease and diabetes. The Heart-to-Heart Community Outreach Program (H2H) is addressing these disparities by providing screenings for …
View article: ReCiter: An open source, identity-driven, authorship prediction algorithm optimized for academic institutions
ReCiter: An open source, identity-driven, authorship prediction algorithm optimized for academic institutions Open
Academic institutions need to maintain publication lists for thousands of faculty and other scholars. Automated tools are essential to minimize the need for direct feedback from the scholars themselves who are practically unable to commit …
View article: 56326 Heart to Heart: An Interdisciplinary Community Collaboration to Address Health Disparities Through Cardiovascular Disease Risk Assessments in Underserved Urban Neighborhoods
56326 Heart to Heart: An Interdisciplinary Community Collaboration to Address Health Disparities Through Cardiovascular Disease Risk Assessments in Underserved Urban Neighborhoods Open
IMPACT: Leveraging partnerships with faith-based institutions and community centers in at-risk NYC neighborhoods, the H2H Program breaks down barriers to engaging with the medical establishment and addresses the increasing burden of diabet…
View article: Application of Topic Modeling to Tweets as the Foundation for Health Disparity Research for COVID-19
Application of Topic Modeling to Tweets as the Foundation for Health Disparity Research for COVID-19 Open
We randomly extracted publicly available Tweets mentioning COVID-19 related terms (n=2,558,474 Tweets) from Tweet corpora collected daily using an API from Jan 21st to May 3rd, 2020. We applied a clustering algorithm to publicly available …
View article: Applying Artificial Intelligence to Predict Self-Reported Poor Health Among Black and Hispanic Caregivers with Mild Cognitive Impairment
Applying Artificial Intelligence to Predict Self-Reported Poor Health Among Black and Hispanic Caregivers with Mild Cognitive Impairment Open
We applied artificial intelligence techniques to build correlate models that predict general poor health in a national sample of caregivers with mild cognitive impairment (MCI). Our application of deep learning identified age, duration of …
View article: Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research
Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research Open
We applied social network analysis (SNA) to Tweets mentioning cannabis or opioid-related terms to publicly available COVID-19 related Tweets collected from Jan 21st to May 3rd, 2020 (n= 2,558,474 Tweets). We randomly extracted 16,154 Tweet…
View article: Research evaluation support services in biomedical libraries
Research evaluation support services in biomedical libraries Open
Objective: The paper review provides a review of current practices related to evaluating support services reported by seven biomedical and research libraries.Methods: A group of seven libraries from the United States and Canada described t…