Hey everyone, Sharing an educational tool called AskCyph Health Explorer to explore how single-letter DNA mutations lead to disease, how they alter 3D anatomy, inheritance probabilities, and available treatments. To make it interactive while protecting user privacy, the architecture splits the workload between two models: AlphaGenome for molecular biology predictions, and MedGemma 1.5 4B running 100% locally in your browser over WebGPU as a private explainer How the Pipeline Works Predicting Molecular Impact (AlphaGenome): Instead of asking an LLM to hallucinate codon mechanics, the app connects to Google DeepMind’s AlphaGenome API to predict regulatory variant effects and splicing disruptions (e.g., contrasting a direct coding change in Sickle Cell against a non-coding Beta-Thalassemia mutation breaking RNA splicing). Private Client-Side Explainer (MedGemma 1.5 4B via WebGPU): All user interaction, chat follow-ups, and multimodal inspection run entirely on your local hardware using ONNX Runtime Web. When you ask questions about hereditary risks or drop in an X-ray/histology diagram, no prompts, images, or chat tokens are sent to any external server. Deterministic Grounding: Variant details, OMIM IDs, inheritance modes, and drug approvals are pulled directly from NCBI ClinVar, openFDA, and ClinicalTrials.gov and injected into MedGemma’s prompt. The local model synthesizes the verified facts and AlphaGenome scores in plain language without making up clinical details. To make it interactive while protecting user privacy, the architecture splits the workload between two models: AlphaGenome for molecular biology predictions, and MedGemma 1.5 4B running 100% locally in your browser over WebGPU as a private explainer. How the Pipeline Works Predicting Molecular Impact (AlphaGenome): Instead of asking an LLM to hallucinate codon mechanics, the app connects to Google DeepMind’s AlphaGenome API to predict regulatory variant effects and splicing disruptions (e.g., contrasting a direct coding change in Sickle Cell against a non-coding Beta-Thalassemia mutation breaking RNA splicing). Private Client-Side Explainer (MedGemma 1.5 4B via WebGPU): All user interaction, chat follow-ups, and multimodal inspection run entirely on your local hardware using ONNX Runtime Web. When you ask questions about hereditary risks or drop in an X-ray/histology diagram, no prompts, images, or chat tokens are sent to any external server. Deterministic Grounding: Variant details, OMIM IDs, inheritance modes, and drug approvals are pulled directly from NCBI ClinVar, openFDA, and ClinicalTrials.gov and injected into MedGemma’s prompt. The local model synthesizes the verified facts and AlphaGenome scores in plain language without making up clinical details. Technical Specs & Performance Model: MedGemma 1.5 4B (INT4 ONNX with FP16/FP32 execution fallback). Runtime: WebGPU via ONNX Runtime Web. Multimodal: Vision projection layers execute on-device to inspect uploaded clinical diagrams. Storage: ~2.8 GB compressed weights, cached locally for instant subsequent loads. Zero friction: No login required, and free. Links & Demo Live Tool: AskCyph Health Explorer Curious to hear what WebGPU throughput you get on your machines, and how others are pairing specialized foundation models with client-side SLMs for sensitive domains!   submitted by   /u/gpt872323 [link]   [comments]