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ExpertiseUpdated on 4 November 2025

GenAI-Powered Personalised Medicine: Multimodal Digital Biomarkers & Clinician-in-the-Loop Therapy Suggestion

Head of International Projects at ViFrameAI

İstanbul, Türkiye

About

ViFrameAI develops Deep Learning (DL) and Generative AI (GenAI) for personalised medicine. Our stack fuses medical imaging, -omics, pathology and EHR to build digital biomarkers and clinician-in-the-loop therapy-suggestion support that is deployable on-prem/edge or cloud with strong privacy safeguards.

Core capabilities

  • Multimodal biomarker discovery: fusion transformers and temporal models for prognosis, response and toxicity prediction.

  • GenAI therapy-suggestion support: evidence-retrieval and ranking of guideline-concordant options and trial matches; outputs rationale, uncertainty and citations (decision support, not autonomous).

  • Trustworthy AI: calibration targets (e.g., ECE), explainability (feature attributions, counterfactuals), subgroup bias audits, model cards/datasheets.

  • Privacy & deployment: federated learning, differential privacy, consent & minimization; integration via REST/gRPC; hospital-ready edge deployments.

  • Synthetic data & rare cohorts: GenAI augmentation pipelines to improve coverage while protecting privacy.

Domains & pilots
Oncology (CRC, derm), gastroenterology/endoscopy, computational pathology, patient safety/triage.

Contact
selay.yuksel@viframeai.com

Organisation

ViFrameAI

Company/SME

İstanbul, Türkiye

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