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Committed to Care
Inspired by Chapman

»Healthcare AI Initiative

The Healthcare AI Initiative (HAI) at Chapman University highlights researchers leveraging artificial intelligence to address critical healthcare challenges in Orange County, including geriatrics, opioid misuse, physical therapy, and drug delivery.

HAI is committed to advancing equity in AI research and fostering interdisciplinary innovation to enhance healthcare outcomes and patient safety. By facilitating collaboration among AI researchers within and beyond healthcare systems, HAI aims to drive the future of AI applications in medicine.

Central to HAI’s mission is the critical examination of ethical AI practices, particularly in the context of Clinical Decision Support (CDS) systems. Emphasis is placed on mitigating algorithmic biases, developing ethically grounded machine learning algorithms, and facilitating privacy-preserving data exchange, thereby ensuring robust and responsible AI integration in healthcare.

 

Recent Grants

campus

ML CDS Tools for Opioid Prescribing Influence Inequalities

The NIH has awarded $250,000 to Wang, Wen, and Portillo to investigate potential biases in AI and machine learning systems used to treat patients with opioid use disorder.

ML Bias in Prescribing
campus

Precision Medicine to Identify Phenotypes After Injury

Sánchez serves as the PI for NIH research to enhance personalized rehabilitation using ML to identify individual-specific walking phenotypes and their underlying joint and muscle impairments.

ML Enhances Walking Phenotypes
campus

Macroeconomic Impacts and its Ability to Guide Microeconomic Choice

The Sloan Foundation awarded $250,000 over the span of three years to investigate AI's impact on the economy, including household labor and saving decisions. Benzell serves as the Co-PI.

Partial results are available

Recent Publication Highlights


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Predicting self-injurious events using AI algorithms

School of Pharmacy
 
Analyzing medical and mental health progress notes, unstructured notes contained more relevant information than structured data. The use of NLP models, under-sampled data, and traditional machine learning approaches significantly improve prediction accuracy and efficiency.
 
Read more:
Predicting suicidal and self-injurious events in a correctional setting using AI algorithms

Harnessing the Productivity Potential of AI

Argyros College of Business and Economics
 
The United States has experienced a significant slowdown in productivity growth over the past two decades, leading to an estimated $4.2 trillion loss in potential GDP for 2019. To address this, policymakers should focus on increasing investments in research and development, expanding high-skilled immigration, improving the education system, and ...
 
Read more: Policy Strategies for Harnessing the Productivity Potential of AI in the U.S.

Alternative to high throughput screening: a 318-target study

School of Pharmacy
 
High throughput screening (HTS) is limited by the need for physical compounds, but computational methods like AtomNet® can overcome this by using large chemical libraries. A study of 318 projects shows AtomNet® successfully identifies novel molecules across various targets, offering a promising alternative to HTS in early drug discovery.
 
Read more: AI is a viable alternative to high throughput screening: a 318-target study

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Women in AI

Anna Alber
Anna Alber, M.Sc.
Senior Research Scientist




Amy Kang
Amy Kang, Pharm.D.
Assistant Professor, School of Pharmacy



Jillian Warren

Jillian Warren, M.A., M.Sc., Ph.D.
Assistant Professor, Wilkinson College of Arts, Humanities, and Social Sciences



Moom Roosan
Moom Roosan, Pharm.D., Ph.D.
Assistant Professor, School of Pharmacy




Natalia Sanchez
Natalia Sánchez, M.Sc., Ph.D.
Assistant Professor, Crean College of Health and Behavioral Sciences



Jo Smith
Jo Armour Smith, Ph.D.
Associate Professor, Crean College of Health and Behavioral Sciences



Sherry Wang
Sherry Wang, M.Phil., Ph.D.
Assistant Professor, School of Pharmacy



Yuxin Wen
Yuxin Wen, M.Sc., Ph.D.
Assistant Professor, Fowler School of Engineering

Senior Advisors

Cristina Giannantonio
Cristina Giannantonio, M.B.A., Ph.D.
Professor, Argyros College of Business and Economics



Andrew Lyon
Andrew Lyon, Ph.D.
Professor, School of Engineering and College of Science

 

Rachita Sumbria
Rachita Sumbria, Ph.D.
Associate Professor, School of Pharmacy

Members

Seth Benzell
Seth Benzell, Ph.D.
Assistant Professor, Argyros College of Business and Economics



Micol Hebron
Micol Hebron, M.F.A.
Associate Professor, Wilkinson College of Arts, Humanities, and Social Sciences



Lawrence Lau
Lawrence Lau, M.B.A.
Director of Industry Alliances and Commercialization



Phillip Lyle
Phillip Lyle, M.B.A.
Deputy Chief Information Officer



Luke O'Connell
Luke O'Connell
Marketing and Events Specialist, School of Pharmacy



Ivan Portillo
Ivan Portillo, M.L.I.S.
Director, Rinker Campus Library Services



Naveen Rajesh
Naveen Rajesh, M.Sc.
Statistical Research Programmer, School of Pharmacy



Richard Ruppel
Richard Ruppel, M.A., Ph.D.
Professor, Wilkinson College of Arts, Humanities, and Social Sciences



Drake Watson
Drake Watson
Statistical Research Programmer

Student Researchers

Adeola Bakare
Adeola Bakare
M.S. Pharmaceutical Sciences candidate



Ashley Duche
Ashley Duche
Ph.D. Pharmaceutical Sciences candidate



Melody Fewx
Melody Fewx
Ph.D. Pharmaceutical Sciences candidate



Silas Fernandes
Silas Fernandes
B.A. Psychology candidate

 

 
Contact Us
Primary Contact
Dr. Sherry Wang