biomistral

BioMistral did not achieve competitive performance under the current experimental setup. This illustration summarizes the investigation, highlighting potential factors such as CUDA/code efficiency, dataset compatibility, hyperparameter optimization, and implementation-specific challenges that require further exploration.

🩺 AstraMed: A Clinical Risk Intelligence Platform. Powered by SOTA Ensemble ML & BioMistral-7B for predictive medical analytics and explainable risk scoring.

Clinical-grade brain tumor diagnostics powered by interpretable deep learning (ResNet-50 + Grad-CAM). Features 3D spatial mapping, BioMistral narratives, and high-fidelity reporting. Engineered for medical transparency. #NeuroOncology #DiagnosticAI

Fast Medical chatbot tell you queries about every desiase

🩺🫀Building a Medical Chatbot using a pre-trained Large Language Model (LLM) for generating informative medical responses.

Advanced medical RAG system with hierarchical retrieval and parent–child document mapping for accurate clinical QA.

Giving eyes to a blind medical LLM: applying VoRA (Vision as LoRA) to BioMistral-7B for radiology Visual Question Answering on chest X-rays.