Candice P. Chu

Candice Chu, DVM, PhD, DACVP

Assistant Professor

Texas A&M University

Dr. Candice P. Chu earned her DVM from National Taiwan University, followed by a PhD in veterinary pathology and clinical pathology residency training at Texas A&M College of Veterinary Medicine & Biomedical Sciences. Before her current role, she served as an Assistant Professor of Clinical Pathology at the University of Pennsylvania.

Her research applies artificial intelligence, machine learning, and genomic technologies to improve diagnostic precision and develop non-invasive tools for conditions like acute pancreatitis and glomerular diseases in dogs. Her work integrates data science and pathology to enhance veterinary diagnostics and education, with a focus on one-health solutions connecting animal and human health.

She authored the review article: ChatGPT in veterinary medicine: a practical guidance of generative artificial intelligence in clinics, education, and research and has served as an invited and keynote speaker on AI at major conferences, including ACVP, ACVIM, AVMA, and ACVR. Recently, she was nominated to join the AVMA Task Force on Emerging Technologies and Innovation.

News

Jan 27, 2025	✈️ Conference: Dr. Chu is heading to the VMX 2025 Veterinary Conference to teach hematology and talk about AI.
Jan 18, 2025	👩‍🏫 Workshop: Dr. Chu is hosting Data Science for Veterinary Researchers with Texas A&M Institute of Data Science on Feb 17–21, 2025
Jan 06, 2025	Dr. Chu has been appointed to join the American Veterinary Medical Association (AVMA) Task Force on Emerging Technologies and Innovation to advance veterinary medicine! 🎉

Selected publications

Technical considerations and review of urinary microRNAs as biomarkers for chronic kidney disease in dogs and cats

Candice P. Chu, and Mary B. Nabity

Veterinary Clinical Pathology, 2024

Abstract Link

MicroRNAs (miRNAs or miRs) are small, non-coding RNAs that play a crucial role in gene regulation, making them potential biomarkers for various diseases. In the field of veterinary medicine, there is a growing interest in exploring the diagnostic and therapeutic potential of miRNAs in kidney diseases affecting dogs and cats. This review focuses on the use of urinary miRNAs as biomarkers for chronic kidney disease (CKD) in these companion animals. We introduce miRNAs, their biogenesis, and their presence in biofluids, particularly within exosomes, and discuss studies investigating miRNAs in kidney tissue and urine. We acknowledge the challenges associated with miRNA studies, including preanalytical factors such as biological variation, sample collection/processing, storage conditions, and experimental design. We highlight the importance of technical considerations, such as sample pooling, sequencing depth, multiplexing, and the various steps of the miRNA experimental workflow. Furthermore, we discuss RNA isolation methods, small RNA sequencing data analysis, and the use of quantitative reverse transcription PCR (qRT-PCR) and droplet digital PCR for verification. We emphasize the importance of internal controls, spike-ins, and normalization methods to minimize technical variation and ensure reliable results in qRT-PCR analysis. This review concludes that while urinary miRNAs hold promise as non-invasive biomarkers for CKD in dogs and cats, addressing the challenges and standardization of protocols is vital for the successful translation of this research into clinical practice.
Banish the PDF-hunting blues with these AI and digital tools

C. P. Chu

Nature, 2024

Link Video
ChatGPT in veterinary medicine: a practical guidance of generative artificial intelligence in clinics, education, and research

C. P. Chu

Front Vet Sci, 2024

Abstract Link

ChatGPT, the most accessible generative artificial intelligence (AI) tool, offers considerable potential for veterinary medicine, yet a dedicated review of its specific applications is lacking. This review concisely synthesizes the latest research and practical applications of ChatGPT within the clinical, educational, and research domains of veterinary medicine. It intends to provide specific guidance and actionable examples of how generative AI can be directly utilized by veterinary professionals without a programming background. For practitioners, ChatGPT can extract patient data, generate progress notes, and potentially assist in diagnosing complex cases. Veterinary educators can create custom GPTs for student support, while students can utilize ChatGPT for exam preparation. ChatGPT can aid in academic writing tasks in research, but veterinary publishers have set specific requirements for authors to follow. Despite its transformative potential, careful use is essential to avoid pitfalls like hallucination. This review addresses ethical considerations, provides learning resources, and offers tangible examples to guide responsible implementation. A table of key takeaways was provided to summarize this review. By highlighting potential benefits and limitations, this review equips veterinarians, educators, and researchers to harness the power of ChatGPT effectively.