Programs at HFR
Our product roadmap is driven by original research. We publish, prototype, and fold findings into production‑grade systems.
Comprehensive research review (2021-2025) exploring the application of AI, Convolutional Networks, and Transformers in endocrinology and personalized care.
In‑context learning for tabular clinical data; survival analysis and risk prediction; zero/low‑shot adaptation and cohort specificity.
Cross‑modal survival modeling with specialized objectives and clinical realism across imaging, EHR, and omics.
Few‑shot reasoning over graphs by extending LLM in‑context principles to biomedical and device networks.
Translate across omic modalities and align to phenotypes and clinical endpoints.
Partner with HFR on pilots, research collaborations, or enterprise integrations across healthcare and biosciences.
