QSU's data scientist Fatma Gunturkun presented her latest work in large language models (LLM) collaborated with investigators from Biomedical Informatics Research Stanford Pediatrics Stanford Medicine at the Symposium on Artificial Intelligence in Learning Health Systems (SAIL)! #SAIL2024

The QSU data science team made valuable contributions to the findings by playing a pivotal role as the Data Coordinating Center in this STOP-PASC trial! The study was also recently published in JAMA Internal Medicine. Learn more at: bit.ly/3KGkGtB #research #longcovid

Congratulations to Pamela Basto, MD, PhD on receiving the @ConquerCancer Young Investigator Award! We look forward to more collaborations with you in the future! #CancerResearch

At AAIC this week presenting some of my work on CHIP (clonal hematopoiesis) & AD Stanford Quantitative Sciences Unit Stanford Neurology & Neurological Sciences . Pass by today at poster 783 to learn about somatic variants and potential caveats in replicating Bouzid et al. (2023, Nature Med)

Congratulations to our collaborator Han Zhu on the new NIH award! We Stanford Quantitative Sciences Unit look forward to more collaborations with you, Dr. Zhu!

A big congratulations to QSU faculty member Dr. Maya Mathur for receiving the Early Career Epidemiologist Award (Methodology Stream) from the American College of Epidemiology. Well deserved, Maya!

QSU is proudly presenting the Webinar Series sponsored by the California Biostatistics, Epidemiology and Research Design Consortium! The inaugural webinar on 9/25 will focus on biostatistician's role in today's data-intensive research. Register today! bit.ly/3VZjLLs

The QSU Research Methods Seminar Series returns this fall! Join us on Tuesday, October 1st, at 12 PM PST, either in person or via Zoom: bit.ly/3BjlJyf

Our inaugural webinar was a huge success! Thank you to everyone who joined us today, and a special thanks to our incredible panelists for sharing their valuable experiences and insights! Stay tuned for more exciting webinars to come! #CABERDWebinar

I am honored to be serving as the Ada Lovelace Lecturer for 2024, where I will discuss the reshaping of clinical trials for AI-supported interventions. National Library of Medicine #AIforPublicHealth

Fatma Gunturkun, QSU's Data Scientist, presented her collaborative work with researchers from Stanford Quantitative Sciences Unit @stanfordBMIR @stanfordpeds at AMIA Symposium in San Francisco held during Nov 9-13, 2024. The study team used LLMs to detect medication side effects in

QSU's Director Dr. Manisha Desai @mdesai_stats is the 2024 Ada Lovelace Lecturer! Congrats, Manisha!

Join us on Dec 3 for the AI for Data Science Symposium sponsored by Stanford Quantitative Sciences Unit & Stanford Data Science where we explore the topic of integrating AI into the data scientist's workflow. Don’t miss engaging talks, panels, & networking! 👉 Register: bit.ly/3NOw4p6

🎉 Grateful to everyone who contributed to making our Symposium on AI for Data Science a huge success! It was truly inspiring to hear all those pearls of wisdom from outstanding thought leaders who are passionate about AI's promise in advancing data science responsibly! 🌟

I am delighted to share some wisdom from one of our symposium speakers, Dr. Michelle Williams.  We are grateful for her thoughtful insights as we discussed the potential of AI in advancing public health! #AIforDataScience #AIforPublicHealth

A big thank you to John Auerbach for sharing his wisdom at our inaugural Symposium on AI for Data Science, when we explored the transformative power of AI in public health! #AIfordatascience