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.
---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...
---name: scfoundation-model-agent description: Unified agent for leveraging single-cell foundation models (scGPT, scBERT, Geneformer, scFoundation) for cross-species annotation, perturbation prediction, and gene network inference. license: MIT metadata: author: AI Group version: "1.0.0" created: ...
---name: tumor-clonal-evolution-agent description: AI-powered analysis of tumor clonal architecture, subclonal dynamics, and evolutionary trajectories from multi-region sequencing and longitudinal liquid biopsy data. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" c...
---name: tcr-pmhc-prediction-agent description: AI-powered TCR-peptide-MHC interaction prediction using AlphaFold3 and deep learning for therapeutic TCR discovery, neoantigen validation, and T cell immunogenicity assessment. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-...
---name: molecular-glue-discovery-agent description: AI-powered molecular glue discovery for targeted protein degradation, enabling neo-substrate recruitment and undruggable target degradation through E3 ligase interface modulation. license: MIT metadata: author: AI Group version: "1.0.0" created...
---name: antibody-design-agent description: An advanced agent for de novo antibody design and optimization using state-of-the-art protein language models (MAGE, RFdiffusion). license: MIT metadata: author: VUMC / UW Baker Lab version: "1.0.0" compatibility:
---name: cancer-metabolism-agent description: AI-powered analysis of cancer metabolic reprogramming including Warburg effect, glutamine addiction, lipid metabolism, and metabolic vulnerabilities for therapeutic targeting. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-...
---name: cellfree-rna-agent description: AI-powered cell-free RNA analysis from liquid biopsy for cancer detection, tissue-of-origin identification, and non-invasive transcriptomic profiling. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compatibility:
---name: cryoem-ai-drug-design-agent description: AI-powered integration of cryo-EM structural data with generative AI and molecular dynamics for structure-based drug design targeting flexible proteins and membrane complexes. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026...
---name: chic-ml-framework-agent description: Machine learning framework for inferring high-risk clonal hematopoiesis from complete blood count data without sequencing, reducing the number needed to sequence for CHIP screening. license: MIT metadata: author: AI Group version: "1.0.0" created: "20...
---name: deep-visual-proteomics-agent description: AI-driven integration of cellular imaging, laser microdissection, and ultra-sensitive mass spectrometry for spatially-resolved single-cell proteomics. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compatibility:
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: nicheformer-spatial-agent description: Foundation model-powered spatial transcriptomics analysis leveraging 53M+ spatially resolved cells for cellular architecture modeling and tissue niche discovery. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-20" compatib...
---name: prs-net-deep-learning-agent description: Geometric deep learning-based polygenic risk score prediction using PRS-Net for modeling gene interactions, enhanced disease prediction, and cross-ancestry portability. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-20"...
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