Conference Schedule
The AI in Health Conference features thematic tracks with invited speakers, technical talks, poster presentations, and networking receptions on September 15-16. There are also add-on workshops available on September 17. Click the dropdowns below (when available) to view the full schedule for each day. View Technical Talk abstracts here.
Welcome / Networking Ethical, Legal & Social Impact Medical Robotics Interpretable AI in Health AI for Disease Genomics Technical Talks Industry
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Tuesday, September 15
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Time Event Location 8:00 – 8:30am Check-In & Breakfast Exhibit Hall 8:30 – 8:45am Welcome Auditorium 8:45 – 9:30am "In Search of the Regulatory 'Sweet Spot': Regulating (Medical) AI in the European Union"
Timo Minssen
University of Copenhagen, DenmarkAuditorium 9:30 – 10:00am Networking Coffee Break Exhibit Hall 10:00 – 10:40am "Why Networks Matter: Embracing Biological Complexity"
John Quackenbush
Harvard T.H. Chan School of Public HealthAuditorium 10:40 – 11:20am "Towards Precision Autism Through Genome-Scale AI"
Gerald Quon
The University of California, DavisAuditorium 11:20am – 12:00pm AI for Disease Genomics
Xiuwei Zhang
Georgia Institute of TechnologyAuditorium 10:00am – 12:00pm Technical Talk: Multimodal Medical AI
10:00am - GLR-MM: Graph-Based Global-Local Reconstruction for Robust Multimodal Representation Learning under Missing Modalities | Surbhi Sharma (Houston Methodist)
10:20am - MedMIX: Modality-Internal Expert Fusion for Multimodal Medical Diagnosis | Seungik Cho (Sapiens Health)
10:40am - RareCollab: an LLM-Powered Framework for Multimodal Reasoning in Mendelian Disease Diagnosis | Guantong Qi
11:00am - The Prophetic Language of Sleep: A Multimodal Foundation Model for Disease Prediction | Jatin Tekchandani (Intellimedics)
11:20am - Constraint-Guided Neuro-Symbolic Learning for Multi-Modal Sleep Phenotyping in Adolescent Neurodevelopmental Disorders | Abiola Saka
11:40am - World Models in Healthcare AI: Anticipating the Risks of Anticipatory AI | Kristin Kostick-Quenet (Baylor College of Medicine)
Room 280 12:00 – 1:00pm Lunch Exhibit Hall 1:00 – 1:40pm "When More Isn’t Better: A Lesson from Rethinking Scale in Multimodal Cell Foundation Models"
Lorin Crawford
Microsoft ResearchAuditorium 1:40 – 2:20pm The New Microscopes? Foundation Models as Instruments of Biological Discovery
Rohit Singh
Duke UniversityAuditorium 1:00 – 2:20pm Technical Talks: Clinical Systems and Governance
1:00pm - NEPHPROS: Architecture and Design of an Integrated AI-Powered Research Operating System for Nephrology Laboratories | Baiyee-Ndang Agbor-Baiyee
1:20pm - PrecisionKB Agent: A Human-in-the-Loop Agentic AI System for Scalable Knowledge Curation and Molecular Interpretation in Precision Oncology | Jia Zeng
1:40pm - Verifiable Private Clinical Hypothesis Testing over Masked Patient Embeddings | Olcay Kursun (Sam Houston State University)
2:00pm - From RAG to GRAF: A Governance-Centric Framework for Clinical AI with Text2SQL Validation | Abu Shufean
Room 280 2:20 – 3:00pm Afternoon Break Exhibit Hall 3:00 – 3:45pm Industry Perspective
PanelAuditorium 3:45 – 4:30pm Ethical, Legal & Social Impact
Kirsten Ostherr
Rice UniversityAuditorium 4:30 – 6:00pm Networking Reception Exhibit Hall -
Wednesday, September 16
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Time Event Location 8:00 – 8:30am Check-In & Breakfast Exhibit Hall 8:30 – 8:45am Welcome Auditorium 8:45 – 9:30am Ethical, Legal & Social Impact
Nancy Berlinger
The Hastings CenterAuditorium 9:30 – 10:00am Networking Coffee Break Exhibit Hall 10:00 – 10:40am Medical Robotics
Gregory D. Hager
Johns Hopkins UniversityAuditorium 10:40 – 11:20am Medical Robotics
Ron Alterovitz
University of North Carolina at Chapel HillAuditorium 11:20am – 12:00pm Medical Robotics
Farshid Alambeigi
Houston Methodist Research InstituteAuditorium 10:00am – 12:00pm Technical Talks: Molecular and Cellular AI
10:00am - A Foundation Model for Spatial Proteomics | Andrew Song (The University of Texas MD Anderson Cancer Center, Rice University)
10:20am - Vision-Based AI Modeling of Spatial Genomic Evidence for Interpretable Copy Number Variant Pathogenicity Prediction | Ilia Buralkin
10:40am - Functional Embedding of Multiple Cross-Species Protein Interaction Networks for Conserved Pathway Identification | Cole McGuire (Rice University)
11:00am - AI‑Spatial Assistant (AISA): An Agentic AI Framework for Automated Pathology Data Review and Spatial–Molecular Functional Niche Discovery in Translational Cancer Science | Qing Ye
11:20am - Reinforcement Learning Enables Single-Cell Foundation Models to Learn Multistep Perturbation Programs | Kai-Li Chang
11:40am - Human-in-the-Loop AI for Single Vesicle Cryo-EM Analysis: A New Quantitative Axis for Diagnostics and Therapeutic Design | Kshipra Kapoor (Seek Diagnostics Inc.)
Room 280 12:00 – 2:00pm Lunch & Poster Session Exhibit Hall 1:00 – 2:00pm Technical Talks: Neurological Clinical Analytics
1:00pm - Predicting Falls in Elderly Patients Through Machine Learning Analysis of Real-World Electronic Health Records | Elizaveta Naydanova
1:20pm - Using an Honest Random Forest to Assess the Prevalence of Cardiovascular Conditions after Traumatic Brain Injury and Identify Potential Heterogeneity Among Subgroups | Ellen Taylor (The University of Texas Southwestern Medical Center)
1:40pm - Reduced Neural Predictability in Ventral Striatum After DBS is Associated with OCD Symptom Relief and Increased Reward Sensitivity | Rick Hanish (Rice University)
Room 280 2:00 – 2:45pm Ethical, Legal & Social Impact
Andrea Downing
The Light CollectiveAuditorium 2:45 – 2:50pm Awards Auditorium 2:50 – 3:30pm Closing Social Pre-Function
Workshop Schedules
Attendees can register for add-on workshops separately or in combination with the main conference. All workshops will take place at the BRC venue on Thursday, September 17. Workshops are an additional price, see each workshop for details.
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The Present and Future of AI in Multi-modal Clinical Pathology Symposium
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Thursday, September 17, 2026 | BRC Auditorium
8:30AM - 2:00PMAI is rapidly advancing the field of computational pathology, enabling new ways to extract quantitative and biologically meaningful information from digitized tissue images. This symposium will highlight recent developments across the field and at MD Anderson, including advances in machine learning for diagnosis, prognosis, and biomarker discovery, as well as emerging approaches for integrating histopathology with molecular and clinical data. We will also discuss the growing role of foundation models and agentic AI as part of a broader ecosystem of methods that support scalable representation learning and more flexible analytical workflows. Together, these innovations are reshaping computational pathology, driving new insights into disease biology, and accelerating progress toward precision medicine. This event is planned to be a half-day symposium.
Schedule:
8:30 - 9:00 AM — Check-In & Breakfast
9:00 AM - 12:00 PM — Symposium
12:00 -1:00 PM — Lunch
1:00 - 2:00 PM — Hands-on Tutorial SessionRegistration: $100 regular, $50 student — Register here
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Hands-On NVIDIA Workshop
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Thursday, September 17, 2026 | BRC Room 280
8:30AM - 11:00AM
Limited to 90 ParticipantsJoin us for NVIDIA's hands-on technical half day workshop.
Schedule:
8:30 - 9:00 AM — Check-In & Breakfast
9:00 - 11:00 AM — Hands-On Workshop presented by Greg Zynda (NVIDIA)Registration: $75 regular/student — Register here
Organizer: NVIDIA
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Microbes and Microbiomes in Health Workshop (Additional Hands-On Training Available)
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Thursday, September 17, 2026 | BRC Room 280
12:30PM - 5:30PM
Limited to 90 ParticipantsJoin us for a half-day workshop titled “Microbes and Microbiomes in Health”. The workshop will feature both computational and biological perspectives for studying microbes and microbiomes relevant to human health. This workshop will bring together experts in computational biology, microbiology, and microbiome science to discuss cutting-edge approaches for studying microbial communities and their impact on health.
Schedule:
12:30 - 1:00 PM — Check-In
1:00 - 4:00 PM — Workshop
4:00 - 5:30 PM — ReceptionRegistration: $75 regular, $50 student — Register here
Organizer: Todd Treangen and AI2Health Research Cluster with the Ken Kennedy Institute
Associated Hands-On Training — RAD Microbes Boot Camp
Friday, September 18, 2026 | BRC Room 1003 (10th Floor)
Limited to 25 ParticipantsIf you'd like additional hands-on training, you can attend the September 18 RAD Microbes Boot Camp held in tandem with the conference. Please note, this requires a separate registration. Learn from expert bioinformaticians at Rice University and the Texas Medical Center on Reading, Assembling, Analyzing & Deciphering microbial genomes.
Registration: $100 (General Admission); $50 (Students/Postdocs)
This is a separate registration for from the conference and Thursday workshops. Visit the registration page here.
