Dr. Philip Payne leads publication on AI code of conduct for healthcare

Dr. Philip Payne leads publication on AI code of conduct for healthcare
A new paper in the Journal of the American Medical Informatics Association (JAMIA), led by Philip R. O. Payne, PhD, addresses the need for a unified framework to guide the ethical and effective use of artificial intelligence (AI) in health and healthcare.  Dr. Payne collaborated with experts Kevin B. Johnson, MD, MS, Thomas M. Maddox, […]

WashU alumni explore AI in health care at Bay Area event

WashU alumni explore AI in health care at Bay Area event
On Nov. 8, the Institute for Informatics, Data Science and Biostatistics (I2DB), in collaboration with alumni and University Advancement, co-hosted an engaging event at Hotel Nikko San Francisco for WashU Medicine alumni and friends. The evening began with a reception where guests enjoyed complimentary hors d’oeuvres and drinks while reconnecting and networking.  The event’s highlight […]

Recap of the AMIA 2024 Annual Symposium

Recap of the AMIA 2024 Annual Symposium
The American Medical Informatics Association (AMIA) hosted its 2024 annual symposium from Nov. 9 to 13 in San Francisco, gathering professionals, academics, and industry leaders to discuss advancements in biomedical and health informatics. The event featured keynotes, panel discussions, and workshops on cutting-edge technologies like artificial intelligence and big data integration in healthcare.   The Institute […]

Dr. Jing Wang named director of the Biostatistics Consulting Service

Dr. Jing Wang named director of the Biostatistics Consulting Service
Jing Wang, PhD, professor of biostatistics, has been appointed the director of the Biostatistics Consulting Service at the Institute for Informatics, Data Science, and Biostatistics (I²DB). As director, Dr. Wang will lead the Biostatistics Consulting Service, which provides biostatistical consultation across a wide range of areas. These include the statistical design of experiments and clinical […]

New deep learning framework predicts Alzheimer’s disease progression

New deep learning framework predicts Alzheimer’s disease progression
For patients with mild cognitive impairment (MCI), an early stage of Alzheimer’s Disease (AD), monitoring the risk of progressing to AD over time is crucial. Recent research published in JAMIA Open has introduced a state-of-the-art deep learning framework named HiMAL (Hierarchical Multi-task Auxiliary Learning) that addresses this need.  The study, led by Sayantan Kumar, PhD […]

New Study uses machine learning to identify dementia subtypes 

New Study uses machine learning to identify dementia subtypes 
Dementia affects individuals differently, causing a variety of symptoms that progress at varying rates, which makes uniform treatment challenging. Recent research published in PLOS One, led by PhD candidate Sayantan Kumar and Philip Payne, PhD, along with Inez Oh, PhD, Suzanne Schindler, MD, PhD, Nupur Ghoshal, MD, PhD,  and Zachary Abrams, PhD, utilized a novel […]

Episode 2 of ‘Gateway to Informatics’ features Dr. Albert M. Lai

Episode 2 of ‘Gateway to Informatics’ features Dr. Albert M. Lai
In Episode 2, Dr. Payne sits down with Dr. Albert M. Lai, the Chief Research Information Officer at WashU Medicine. Dr. Lai’s compelling background sets the stage for a riveting discussion. Originally pursuing computer science, Dr. Lai found his true calling in the field of informatics, leading to a distinguished career marked by impactful projects and significant contributions to healthcare technology.

Dr. Payne to Co-Lead New Joint Center for Health AI (Links to an external site)

Dr. Payne to Co-Lead New Joint Center for Health AI
Washington University School of Medicine and BJC Health System have launched the joint Center for Health AI. The center aims to harness cutting-edge artificial intelligence (AI) to fundamentally change the way health care is provided. It will focus on making care more personalized and effective for patients, and more efficient and manageable for health care professionals.

Dr. Linying Zhang receives 2024 OHDSI Titan Award for Methodological Research

Dr. Linying Zhang receives 2024 OHDSI Titan Award for Methodological Research
We are delighted to announce that Linying Zhang, PhD, Assistant Professor of Biostatistics, has been honored with the prestigious 2024 Observational Health Data Sciences and Informatics (OHDSI) Titan Award for Methodological Research. This award recognizes her exceptional contributions to advancing analytical methods in clinical characterization, population-level effect estimation, and patient-level prediction. Congratulations, Dr. Zhang!