Publications & Posters
Peer-reviewed and conference-presented evidence.
KolateAI's predictive accuracy has been presented at leading pharmacy sciences, health economics, and informatics conferences. Full posters and manuscripts are available on request.
Nov 2026
Oncology
A Machine Learning-Based Simulated Synthetic Head-to-Head Comparison of Panitumumab-FOLFIRI and Bevacizumab-FOLFIRI in Wild-Type KRAS Metastatic Colorectal CancerAmerican Medical Informatics Association (AMIA)
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Oct 2026
Immunology, Dermatology
Machine Learning Prediction of Patient-Level Topical Corticosteroid Treatment Response in Atopic Dermatitis Using Real-World Electronic Health Record DataAmerican Association of Pharmaceutical Scientists (AAPS)
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Oct 2026
Immunology, Dermatology
Simulated Synthetic Head-to-Head Comparison of Dupilumab vs Upadacitinib in Atopic Dermatitis Using NLP-Enabled Predictive Modeling and Real-World DataAmerican Association of Pharmaceutical Scientists (AAPS)
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Oct 2026
Immunology, Dermatology
Agentic AI and Machine Learning Based Patient-Level Prediction of Dupilumab Treatment Response in Atopic Dermatitis Leveraging Unstructured and Structured Real-World DataAmerican Conference on Pharmacometrics (ACoP)
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May 2026
Metabolic Disease
Interpretable AI-Based Risk Profiling of Metabolic Syndrome and Simulated Klotho Modulation Using Real-World NHANES Data (2007–2023)International Society for Pharmacoeconomics and Outcomes Research (ISPOR)
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In Review
TBD
Immunology, Dermatology
Machine Learning Prediction of Dupilumab Response in Atopic Dermatitis With and Without Skin Biopsy Data, and a Synthetic Comparison With UpadacitinibClinical Pharmacology & Therapeutics
Under review
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