Meet SmartMed, by Salynt

Brain tumor imaging.
A clearer view.

SmartMed helps neuro-oncology and imaging research teams identify tumor regions, measure change across scans, and bring findings together for review.

Explore SmartMed
Imaging AI. Human perspective.
SMARTMED / BRAIN IMAGINGIllustrative view
Illustrative regionsTake the guided tour
01 — Clinical imagingBuilt in Baltimore. Designed around understanding.

Trusted by

M-NCPPC Johns Hopkins Ward Infinity Halcyon
How SmartMed helps

From scan to a clearer review.

Explore three parts of the workflow.
See the full platform in a private demo.

Request a private demo ↗
Identify tumor regions
Conceptual brain illustration with colored regions in four perspectives.

Find the regions worth a closer look.

AI-assisted segmentation highlights tumor regions for expert review. Toggle the illustration’s colors to explore how visual emphasis helps distinguish areas of interest.

The people behind the platform

Built in Baltimore.
Driven by people.

A family emergency brought the challenge of understanding complex brain imaging close to home. It became the starting point for SmartMed.

In this Baltimore Homecoming film, founder Jeremy Lawson shares the story behind the work.

Featured in Baltimore Homecoming · 1 min 20 sec

Validation & recognition

Measurable progress.
Evidence that moves us forward.

Our next step is independent clinical evaluation, building on early segmentation benchmarks.

Technical benchmark

Brain tumor segmentation

Dice measures segmentation overlap on a scale from 0 to 1. A score of 1.000 represents a perfect match.

BraTS 2021 · nnU-Net baseline
Whole tumor WT0.956
Tumor core TC0.931
Enhancing tumor ET0.811

Salynt-reported BraTS 2021 baseline. Read the evaluation context below.

How we measured this
Dataset
BraTS 2021 brain tumor imaging.
Model baseline
nnU-Net segmentation.
Measure
Dice overlap between the predicted region and its reference segmentation, reported for whole tumor, tumor core, and enhancing tumor.
Interpretation
These are Salynt-reported development benchmarks. A Dice score describes segmentation overlap; independent clinical evaluation is being prepared.
Discuss the evaluation setup ↗
Fellowship & recognition

Johns Hopkins
Ward Infinity Fellowship

Salynt participated in the 2025 fellowship cohort, refined its work through clinician conversations, and earned the Top Technology Award.

Next: independent clinical evaluation

From benchmark to clinical evidence.

We’re preparing a retrospective study focused on adult glioma imaging with Johns Hopkins collaborators. The proposed work will compare SmartMed outputs with expert review.

  • Segmentation & volumesAgreement on tumor boundaries and region measurements.
  • Change over timeConsistency when reviewing imaging across visits.
  • Review workflowTime, usability, and the experience of clinical reviewers.

Study preparation is ongoing. Institutional approvals, data access, and final agreements are being worked through. SmartMed remains a research-stage platform.

Discuss a research collaboration ↗
Our team

The people building Salynt.

Bringing imaging AI, clinical research, and software engineering together.

Leadership

Jeremy Lawson

Founder & CEO
Background

10+ years as a data scientist across defense & intelligence (Booz Allen Hamilton, SixGen). TS/SCI-cleared. M.S. Data Science, GWU; B.S. Mathematics, Jackson State University. Fellow, Johns Hopkins Medicine Ward Infinity.

Natalia Crosdale

Chief Operating Officer
Background

IT & operations leader. Formerly U.S. Department of State and CNN (WarnerMedia). GWU & MIT. Fellow, Johns Hopkins Medicine Ward Infinity.

Hakan Bulu, Ph.D.

Chief Technology Officer
Background

Medical imaging AI expert, 15 years in the field. Stanford School of Medicine. 17 publications, 4 patents. Formerly IBM Watson Health.

Divita Pandita, MBA, ML(c)

Head of Clinical Strategy
Background

Hematologic-oncologic clinical researcher. UCSF, UC Berkeley, Johns Hopkins University, Dana-Farber.

Meet our engineering team and advisors

AI/VR Engineering

Makena Bustos

VR / Immersive Reality Software Engineer
Background

Lead software developer supporting 3D visualizations and simulations — the engineering behind Salynt's immersive clinical and urban views.

Kelvin Yang (杨朝晖)

AI & Data Engineering
Background

Leads machine learning workflows, data engineering, model optimization, and platform development.

Advisory Board

Andre Jerry

Advisor / Investor
Background

CEO of CypherIntel and Salynt investor/advisor, bringing cybersecurity, intelligence, and enterprise technology perspective to support Salynt's growth, strategic positioning, and trusted AI infrastructure.

Mihir Pathak, Ph.D.

Advisor
Background

Former NASA and White House (Obama Administration), and McKinsey. Multi-exit startup leader who has advised 50+ founders scaling to nine-figure revenues.

Alvin McClerkin

Advisor
Background

Former DOE executive with a track record of moving commercial tech into government — raising $30M+ and scaling startups to $100M+ valuations.

Dr. Kenyotta Hannah

Advisor
Background

Leadership experience in digital health innovation and federal healthcare systems, advising Salynt on clinical strategy and scalable deployment.

Let’s take a closer look

See SmartMed
with our team.

Choose what you’d like to discuss, and we’ll connect you with the right conversation.

info@salynt.io
Baltimore, Maryland

Please keep this message to your project or research interests. Do not include patient information.

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Salynt uses the contact information and message you provide to respond to your inquiry. This form is delivered through Web3Forms. For questions about your information, email info@salynt.io. Please do not send patient information.

Baltimore Homecoming

The story behind Salynt

Jeremy Lawson, Founder & CEO · Salynt · Website edit with illustrative product visuals.

SmartMed

Brain imaging, illustrated

Conceptual axial, coronal, sagittal, and 3D brain perspectives, with illustrative green, red, and blue regions.

Conceptual illustration, not patient data or a product screenshot. Request a private demo to see SmartMed.