The research record behind the platform.
68 publications and conference contributions, a U.S. patent-pending application on the AEcelerate architecture; and the clinical work behind them, by our leadership and medical advisors; spanning AI benchmarking, clinical data science, hematology-oncology, and rheumatology.
Selected work on AI capability and clinical models.
From an expert-level AI benchmark in Nature to explainable machine-learning models of leukemia progression; the AI publications behind the platform's intelligence.
- 2026A benchmark of expert-level academic questions to assess AI capabilitiesAli DasouqiNature
- 2025Predicting the Regulatory Dynamics of AML Disease Progression from Longitudinal Multi-Modal Clinical DataMoaath Mustafa AliJ Med Syst
- 2025Navigating the Real World: The Limitations of AI in Spatial IntelligenceAli DasouqiJohns Hopkins University
- 2025Discovery of Dynamic Models for AML Disease Progression from Longitudinal Multi-Modal Clinical Data Using Explainable Machine LearningMoaath Mustafa AlimedRxiv
- 2024Humanity’s Last ExamAli DasouqiCenter for AI Safety
- 2023Demonstration of Advanced Predictive Analytics Using the COLM Quick Guides at Duke EnergyAli DasouqiElectric Power Research Institute
Ali Dasouqi, PhD, MBA
A systems engineer and AI strategist, Ali led the U.S. patent-pending application on AEcelerate’s autonomous evidence architecture and publishes on the frontiers of AI capability; an expert-level AI benchmark in Nature, spatial-intelligence limits with Johns Hopkins, Humanity’s Last Exam with the Center for AI Safety, and applied predictive analytics with EPRI. He earned his PhD in mechanical engineering at the University of South Florida, where his fluid-dynamics research appeared in Experiments in Fluids and Physical Review Fluids; the same applied-modeling rigor he now directs at clinical data.
Show all 14 publications4 more · 2018–2019
Dr. Moaath Mustafa Ali, MD, MPH
A hematologist and leukemia specialist at Cleveland Clinic and Assistant Professor of Medicine at Case Western Reserve University, Moaath works where clinical medicine meets machine learning; his data-science publications include explainable-ML models of AML disease progression from longitudinal multimodal clinical data (J Med Syst; medRxiv), alongside NCCN guideline contributions and first-authored real-world outcome studies across acute myeloid leukemia, lymphoma, and CAR-T cell therapy.
Show all 51 publications41 more · 2014–2025
Dr. Saja Mustafa Ali, MD
A board-certified rheumatologist at the University of Chicago Medicine, Saja co-authored systematic meta-analyses in autoimmunity and population-health studies of hospital admissions in England and Wales.
Caroline McGuirk, MBA
A healthcare strategy and technology professional, Caroline leads operations and commercialization at AEcelerate and holds the U.S. patent-pending application on the platform’s integrated multi-platform AI architecture for automated adverse-event detection and regulatory reporting. Her background spans healthcare SaaS, market strategy, regulatory analysis, and technology commercialization; she holds an MBA from Johns Hopkins University in Health Care Management, Innovation & Technology, with Stanford certifications in Generative AI and AI in Healthcare.
Peer-reviewed rigor, built into the product.
The same standards our leadership brings to clinical research and publication carry into every workflow AEcelerate ships.