Education and Training

The National Institute on Aging (NIA) is sponsoring the Agentic AI and Robotics: Accelerating Discovery for AD/ADRD and Beyond workshop, to be held virtually on August 27, 2026, 2:00 - 6:00 PM EDT. 

This workshop convenes leading experts from academia and industry to explore how agentic AI and robotics are transforming biomedical research by accelerating the pace and rigor of scientific discovery. Speakers will highlight AI systems that synthesize evidence and support hypothesis generation, models that integrate complex multimodal datasets, and robotics-enabled platforms that automate laboratory workflows. Together, these advances point toward a future in which AI-powered research systems integrate experimental design, disease modeling, and laboratory execution as an intelligent process to improve the scale, reproducibility, and efficiency of biomedical research, accelerating the path from biological insight to therapeutic development for AD/ADRD and other complex diseases.  

Registration and workshop agenda are available on the flyer and workshop website. Registration is open to everyone and is required to attend.   

The Alzheimer's Disease Sequencing Project (ADSP) and the ADSP Phenotype Harmonization Consortium (PHC) will be hosting an ISTAART Intermissions networking session at AAIC 2026 on Monday, July 13, from 12:15 - 2:00pm. The objective of this session is to engage researchers at any level who are interested in accessing and performing research using ADSP data. This networking session, led by Drs. DeStefano, Hohman, and Wang, will provide the opportunity for AAIC attendees currently using or interested in using ADSP data to connect, address data challenges, and build new collaborations. This session will provide opportunities to educate the research community about the available ADSP data, to answer specific questions about ADSP data and resources, and to enhance connections and collaborations among ADSP data users. The expected outcome is broader awareness of the ADSP resources, new ADSP data users, and new potential collaborations, all leading to more impactful research in the field of ADRD genomics.