Textbook-grade clinical reasoning, pharmacology, foundational science, and board preparation data. Every pair quality-gated, SHA-256 sealed, and ready for fine-tuning.
Beyond the major specialty blocks above, the SwarmMed dataset includes verified pairs across 30+ additional clinical and research sub-specialties. Each sub-specialty is labeled, quality-gated, and available individually or as part of the complete medical vertical.
Production models fine-tuned on SwarmMed data. Sealed, evaluated, and deployment-ready.
Clinical pharmacology specialist. 5-step trajectory reasoning: IDENTIFY → MECHANISM → ASSESS → CALCULATE → RECOMMEND. Drug-drug interactions, pharmacokinetic calculations, dosage optimization. Zero quantization loss at Q4_K_M.
Medical imaging specialist. Trained on 14,474 vision pairs covering spine pathology, brain tumor segmentation, and structured radiology report generation. Multimodal input: DICOM-derived images + clinical context.
General-purpose medical reasoning adapter. Broad clinical coverage across internal medicine, surgery, and foundational sciences. Lightweight deployment target for edge and mobile inference.
Raw medical imaging datasets used for vision model training and evaluation. Research-grade, multi-institutional sources.
Multi-institutional brain tumor segmentation challenge data. T1, T1-Gd, T2, FLAIR sequences with expert annotations. Glioma grading and volumetric analysis.
Lumbar spine X-ray dataset with radiologist annotations. Disc degeneration, spondylolisthesis, foraminal stenosis, vertebral fracture, and 4 additional pathology classes.
Comprehensive ECG signal collections from PhysioNet. Arrhythmia detection, ST-segment analysis, and QT interval measurement across diverse patient populations.
Every order ships in 5 formats with train/eval splits, provenance docs, and tamper-evident verification.