multimodal-analysis
Analyzes medical images (X-ray, MRI, CT) using multimodal LLMs to identify anomalies and generate reports.
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Analyzes medical images (X-ray, MRI, CT) using multimodal LLMs to identify anomalies and generate reports.
---name: cart-design-optimizer-agent description: AI-guided CAR-T cell design for solid tumors using antigen prioritization, safety-by-design architectures, and exhaustion-resistant engineering. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compatibility:
---name: bone-marrow-ai-agent description: AI-powered bone marrow morphology analysis, cell classification, and hematologic disorder diagnosis using deep learning on aspirate and biopsy images. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compatibility:
---name: chip-clonal-hematopoiesis-agent description: AI-powered clonal hematopoiesis of indeterminate potential (CHIP) detection, risk stratification, and cardiovascular/malignancy risk prediction using genomic and clinical data. license: MIT metadata: author: AI Group version: "1.0.0" created: ...
---name: clinical-trial-matcher description: Matches patient profiles to open clinical trials using vector similarity and inclusion/exclusion criteria. Use when a user provides patient data and asks for relevant trials.
---name: coagulation-thrombosis-agent description: AI-powered analysis of coagulation disorders, thrombosis risk prediction, anticoagulation management, and platelet function assessment using machine learning. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compatib...
---name: liquid-biopsy-analytics-agent description: AI-powered comprehensive liquid biopsy analysis integrating ctDNA, CTCs, exosomes, and cfRNA for cancer detection, monitoring, and treatment guidance. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compatibility:
Claims Appeals agent for healthcare workflows.
AI-powered spatial integration of multi-omics datasets using probabilistic alignment for comprehensive tissue atlas construction and cellular state mapping.
A unified interface for annotating single-cell RNA-seq data using Marker Genes, Deep Learning (CellTypist), or LLMs.
---name: rna-velocity-agent description: AI-powered RNA velocity analysis for predicting cellular state transitions, differentiation trajectories, and dynamic gene regulation from single-cell RNA sequencing data. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compa...
---name: multimodal-radpath-fusion-agent description: AI-powered multimodal diagnostic fusion integrating radiology imaging (CT/MRI/PET), digital pathology (WSI), genomics, and clinical data for comprehensive cancer diagnosis and treatment planning. license: MIT metadata: author: AI Group version...
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