SUBTLE MEDICAL, INC.
Medtech · Private
Machine learning software that detects missing or corrupted brain MRI acquisitions and synthesizes missing images using data from acquired sequences
- Grants
- $3.0M
- 6 awards
- Sector median: 1
- Raised
- —
- No Form D on record
- Contracts
- —
- No federal contracts on record
- Patents
- 40
- 11 granted · 29 pending
- Sector median: 2
Capital Timeline
Federal ↑Equity ↓2019202020212022202320242025
| Date | Event | Source | Amount |
|---|---|---|---|
| Federal grant | Department of Health and Human Services · Phase II · Low- and Zero-dose Contrast-enhanced MRI Using Deep Learning | $185,379 | |
| Federal grant | Department of Health and Human Services · Phase II · Low- and Zero-dose Contrast-enhanced MRI Using Deep Learning | $742,405 | |
| Federal grant | Department of Health and Human Services · Phase II · Low- and Zero-dose Contrast-enhanced MRI Using Deep Learning | $755,740 | |
| Federal grant | Department of Health and Human Services · Phase I · Real-time AI-enhanced Low Dose Fluoroscopy | $132,173 | |
| Federal grant | Department of Health and Human Services · Phase II · Automated enhancement and correction of brain MRI images that leverages the entire imaging exam | $299,961 | |
| Federal grant | Department of Health and Human Services · Phase II · Automated enhancement and correction of brain MRI images that leverages the entire imaging exam | $931,987 |
Federal grant · SBIR/STTR
Peer position
| # | Company | Contracts | Disclosed equity |
|---|---|---|---|
| 1837 | NEUROINDX INC. | — | — |
| 1838 | NAMI DIAGNOSTICS LLC | — | — |
| 1839 | ENDOPROTECH, INC. | — | — |
| 1840 | SUBTLE MEDICAL, INC. | — | — |
| 1841 | Enable Biosciences Inc. | — | — |
| 1842 | Irenix Medical, Inc. | — | — |
| 1843 | CORAMIR BIOMEDICAL, INC. | — | — |
Ranked on federal contract value rather than capital raised. The equity column is the comparison worth making — companies at the same procurement position often sit at very different points in their funding history.
Patents
- Systems And Methods For Enhancing Imaging Using Contrastive Learning Method For Perceptual Loss And An Organ-aware Lossapplication
- Multi-modality And Multi-scale Feature Aggregation For Synthesizing Spect Image From Fast Spect Scan And Ct Imagegranted
- Automated Medical Image Quality Control Systemgranted
- Systems And Methods For Medical Images Denoising Using Deep Learningapplication
- Systems And Methods For Harmonizing Medical Image And Data And Providing Operation Insights Using AIapplication
- Self-supervised Learning For Medical Image Quality Controlgranted
- Systems And Methods For Real-time Video Enhancementgranted
- Systems And Methods For Mri Contrast Synthesis Under Light-weighted Frameworkapplication
- Systems And Methods For Image Segmentation Of Pet/ct Using Cascaded And Ensembled Convolutional Neural Networksapplication
- Systems And Methods For Contrast-enhanced Mriapplication
- Systems And Methods For Accelerating Spect Imagingapplication
- Systems And Methods For Magnetic Resonance Imaging Standardization Using Deep Learninggranted
Regulatory activity · Medtech
- New Animal Drugs; Approval of New Animal Drug Applications; Withdrawal of Approval of New Animal Drug Application; Change of SponsorFood and Drug Administration
- Medical Devices; General and Plastic Surgery Devices; Classification of the Skin Patch for Treatment of HyperhidrosisFood and Drug Administration
- Medical Devices; Anesthesiology Devices; Classification of the Monitor for Opioid Induced Impairment of OxygenationFood and Drug Administration
- Medical Devices; Orthopedic Devices; Classification of the Medial Knee Implanted Shock AbsorberFood and Drug Administration
- Medical Devices; Neurological Devices; Classification of the External Lower Extremity Nerve Stimulator for Restless Legs SyndromeFood and Drug Administration
- Medical Devices; General Hospital and Personal Use Devices; Classification of the Infant Supine Sleep SystemFood and Drug Administration
Rules are matched to sector, not to company. Recent activity in a sector is context rather than a signal about this business — until rules are matched to what a company actually builds, the section is shown as context and nothing more.