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Powering drug development decisions with tissue intelligence

Powering clinical decisions
with tissue intelligence

Learn More

Powering drug development decisions with tissue intelligence

Powering drug development decisions
with tissue intelligence

Learn More

WHITEPAPER

Spatially
Intelligent
Platform

Read the Whitepaper

WHITEPAPER

Spatially
Intelligent
Platform

Read the Whitepaper

AACR 2026

6 posters • Booth #1723

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April 17-22, 2026 | San Diego, CA

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Spatial Intelligence Summit

Shaping the Future of Drug Discovery & Development

Hosted by PredxBio

November 5, 2025 | The Assembly, Pittsburgh, PA

Past Event

Decision-grade tissue intelligence for drug development


PredxBio identifies response-defining tissue patterns across spatial multi-omic data, enabling earlier go/no-go decisions, stronger biomarker strategies, and more efficient clinical development.

See how SpaceIQ™ operationalizes tissue intelligence →

From complex tissue data to decisions you can trust

Revealing how tissue biology actually functions

By resolving functional cell states, spatial microenvironments, and cell–cell interactions, PredxBio uncovers response-driving biology that conventional analyses miss—translating complex tissue data into explainable, decision-grade insight.

 

 

Operationalizing tissue intelligence across drug development

From target and biomarker strategy to patient stratification and trial optimization, PredxBio helps teams move from exploratory tissue analysis to confident, development-ready decisions.

 

 

 

SpaceIQ™ — Decision Intelligence for Drug Discovery & Development

SpaceIQ is PredxBio’s decision-intelligence platform that transforms complex tissue and spatial data into trusted, explainable insights that guide drug development — from early discovery through clinical programs and portfolio strategy.

Powered by a single, consistent analytics core, SpaceIQ adapts to different stages of development, with scope and persistence scaling as programs mature.

Discovery & Mechanism Intelligence
Reveal response-defining tissue biology to inform target selection and mechanism-of-action hypotheses. SpaceIQ uncovers biologically meaningful spatial patterns across cells, neighborhoods, and tissue architecture that traditional analyses overlook.
Translational & Clinical Readiness
Define predictive, explainable tissue-based biomarkers and stratify patient populations based on tissue-level biology linked to therapeutic response — enabling discovery insights to translate into biomarker strategies and hypothesis-driven trial design.
Trial & Program-Scale Decision Support
Apply consistent, reproducible tissue intelligence across studies to guide trial strategy, refine inclusion criteria, support clearer go/no-go decisions, and enable learning to compound across programs and portfolios over time.

Discovery & Mechanism Intelligence

Reveal response-defining tissue biology to inform target selection and mechanism-of-action hypotheses. SpaceIQ uncovers biologically meaningful spatial patterns across cells, neighborhoods, and tissue architecture that traditional analyses overlook.

Translational & Clinical Readiness

Define predictive, explainable tissue-based biomarkers and stratify patient populations based on tissue-level biology linked to therapeutic response — enabling discovery insights to translate into biomarker strategies and hypothesis-driven trial design.

Trial & Program-Scale Decision Support

Apply consistent, reproducible tissue intelligence across studies to guide trial strategy, refine inclusion criteria, support clearer go/no-go decisions, and enable learning to compound across programs and portfolios over time.

Are you making confident development decisions from tissue data — across your entire program?

See how PredxBio translates complex tissue biology into decision-grade insights - from early discovery through clinical development.

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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.

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Download Whitepaper

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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.