Author

Azade Farshad

2 papers indexed here

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#artificial intelligence Preprint Sep 2026

Predicting Postprandial Glycemic Response from Meal Images, Clinical Variables, and Gut Microbiome Information

The proposed multimodal framework replaces manual dietary logging with image-derived macronutrient estimates and integrates them with clinical variables and gut microbiome information for personalized PPGR prediction, and outperforms existing PPGR baselines using image-derived nutritional inputs.

V. Kondratyeva, Kamilia Zaripova, N. Navab et al. · 0 citations

#artificial intelligence Preprint Sep 2026

HPOQuest: A Rare-Disease Diagnostic Agent Using Active Phenotype Acquisition

HPOQuest substantially improves diagnosis from sparse initial phenotypes, with gains of up to 30% points at Recall@1 and 45% points at Recall@5, demonstrating that sequential phenotype acquisition can substantially improve rare-disease diagnosis from limited initial clinical evidence.

Kamilia Zaripova, N. Navab, Azade Farshad et al. · 0 citations