PredxBio

The Spatial Medicine Company™

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From tissue biology to oncology decisions

Spatial Medicine connects how cells are organized and interact within tissue to decisions about treatment, patient selection, and drug development.

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Tissue organization and connected spatial patternsA conceptual illustration of cells arranged into tissue neighborhoods, connected to a simplified spatial network. TISSUESPATIAL BIOLOGYDECISIONS

Pioneering Spatial Medicine

SpaceIQ® connects tissue architecture with the biology of response and resistance, helping teams prioritize therapies, refine patient selection, and advance biomarkers toward clinical use.

POWERED BY SPACEIQ®

From complex tissue data to evidence that guides drug development

Four connected capabilities bring tissue quality, spatial biology, and explainable AI into your oncology program.

01 · MEASURE

Quantitative QC

Identify image and biological artifacts before they shape downstream analysis.

02 · DISCOVER

Tissue States

Reveal cellular neighborhoods and tissue organization linked to the biology of response and resistance.

03 · EXPLAIN

Interpretable Models

Connect spatial patterns with outcomes and examine the biology behind the signal.

04 · TRANSLATE

Clinical Compression

Distill rich spatial discoveries into focused biomarker candidates for clinical assay development and validation.

WORK WITH PREDXBIO

Move your oncology program forward

Guide clinical development

Inform patient stratification, investigate response and resistance, and prioritize therapeutic strategies through focused projects with our scientific team.

Advance biomarkers toward the clinic

Co-develop focused biomarker signatures from spatial discoveries, with a path toward clinical assay development and validation.

Integrate SpaceIQ® into your workflow

Bring tissue QC, spatial analysis, and decision intelligence into your workflow through software access, scientific support, and integration.

For research projects, partnerships, and investor inquiries: [email protected]

FROM PREDXBIO ON LINKEDIN

Follow what’s next

Selected science, ideas, and perspectives from our team.

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PredxBio SITC 2026 announcement with Booth 713 and Tech Talk details

SITC 2026 · BOOTH 713

Meet us in Phoenix

Explore SpaceIQ® at Booth 713 and join our November 6 Tech Talk on translating spatial biology into Spatial Medicine.

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Original PredxBio LinkedIn artwork: From discovery toward clinical use.

BIOMARKER TRANSLATION

From discovery toward clinical use

Translating rich spatial data into focused biomarker candidates for validation and clinical development.

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Original PredxBio LinkedIn artwork: What makes spatial biology ready for decisions?

INSIDE SPACEIQ®

What makes spatial biology ready for decisions?

Harmonize data, model tissue states, validate and explain signals, and translate findings into practical use.

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Original PredxBio LinkedIn artwork: Taking spatial biology into translational decisions.

SCIENTIFIC EXCHANGE

Taking spatial biology into translational decisions

Reflections from Frederick National Laboratory on reproducible, explainable signals that can carry forward across studies.

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Original PredxBio LinkedIn artwork: From tissue measurements to a focused decision.

THERAPEUTIC DEVELOPMENT

From tissue measurements to a focused decision

Who may respond, why, and whether the same biology can be measured again in the next study.

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Original PredxBio LinkedIn artwork: Connecting spatial evidence to therapeutic strategy.

SPATIAL MEDICINE

Connecting spatial evidence to therapeutic strategy

How tissue states, interpretable models, and focused signatures can inform drug development and patient stratification.

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Original PredxBio LinkedIn artwork: Making spatial data useful for decisions.

AACR PERSPECTIVES

Making spatial data useful for decisions

Lessons from AACR conversations about reproducibility, assay variation, and translating high-dimensional discoveries into practical evidence.

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Original PredxBio LinkedIn artwork: Structure, mechanism, and outcome.

SPATIAL DISCOVERY

Structure, mechanism, and outcome

AACR studies exploring spatial microdomains, network biology, and unbiased cell typing across spatial modalities.

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Original PredxBio LinkedIn artwork: From high-plex discovery to clinical-plex candidates.

TRANSLATIONAL RESEARCH

From high-plex discovery to clinical-plex candidates

AACR work on compact biomarker signatures and the quality-control foundation behind reliable spatial analysis.

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Registration

Join us for the Spatial Intelligence Summit. Complimentary and paid registration categories are listed below – hurry, early bird pricing ends on September 30.

We received your request! One of our team members will be in touch as soon as possible.

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B. Dusty Majumdar, PhD

CHIEF EXECUTIVE OFFICER

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B. Dusty Majumdar, PhD  is a seasoned leader in Precision Healthcare with more than 20 years of experience in building and successfully launching innovative technologies across oncology, multi-omics, Real-World Evidence (RWE). diagnostic imaging and liquid biopsy platforms leveraging some of the industry’s most advanced AI platforms, genomic and clinical simulations (digital twins), and emerging medical imaging technologies. Dr. Majumdar’s experience includes leading strategy and marketing as the Chief Marketing Officer (CMO) at IBM and multiple commercial and technical leadership roles at GE Healthcare, Exact Sciences and 3M. He has also led the commercial and strategic functions in a range of start-ups in the healthcare/biopharma space over the last few years.  Dr. Majumdar is a widely respected global leader in the healthcare industry and holds a Ph.D. from the University of Texas at Austin and a bachelor’s degree from the Indian Institute of Technology (IIT), Kharagpur.  He has authored several peer-reviewed scientific publications and holds multiple patents.

Joe Camaratta

Sr. VP Business Development

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Joe Camaratta specializes in medical technology innovation and commercialization, taking products from concept to clinical adoption. He held executive positions for GE Healthcare and Siemens Healthcare and built businesses in medical imaging, cardiology, and oncology. He founded and led two early stage medical technology companies that apply artificial intelligence to improve clinical decision-making.

Joe holds a Master of Science degree in Computer Science from Rutgers University and a Bachelor of Science degree in Computer Science from Drexel University. He currently serves as an advisor to the Entreprenuerial Investing Program of the Crohn’s & Colitis Foundation, and the University Science Center QED Program focused on commercialization of academic innovations

Bruce Campbell, MS

VP Software Engineering

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Bruce leads the software engineering and quality assurance teams at PredxBio. As the VP of Software Engineering, he is responsible for analytical infrastructure, product development and the commercialization of machine learning, image processing, and computational biology algorithms. Prior to joining PredxBio, Bruce was at IBM and Xylem in global Director of Data Science roles. He has over 20 years of experience in digital pathology algorithms and is highly motivated to deliver care through digital and computational pathology. He has multiple successful FDA 510k device applications, and multiple CLIA certified algorithms deployed in clinical practice.

Bruce holds a BS in Physics and MS in Applied Mathematics from the University of Rochester, an MS in Statistics from North Carolina State University, and is currently pursuing graduate mathematics studies at The Ohio State University. Bruce loves the outdoors. You can find him hiking and rock climbing in Appalachia.