PredxBio

Access our brand new White Paper here

Menu

SpaceIQ Platform

An end-to-end system for transforming complex tissue data into explainable, decision-ready insights across drug discovery and development.

SpaceIQ™ operationalizes tissue intelligence for drug discovery and development

SpaceIQ is an end-to-end analytical platform designed to transform spatial multi-omics and tissue-resolved data into interpretable, reproducible insights. By integrating unbiased spatial analytics with explainable AI, the platform enables systematic characterization of tissue organization, functional states, and molecular interactions that underlie biological response.

–

Deployment model

PredxBio supports partners through collaborative, knowledge-driven research engagements, with a clear pathway to secure, scalable, and modular software access as programs mature.

Core Capabilities of the SpaceIQ™ Platform

 

Step 1 — Data Ingestion & Integrity Assurance

SpaceIQ ingests spatially resolved data across imaging, proteomic, transcriptomic, and multi-modal tissue platforms, applying automated integrity checks to ensure analytical readiness while preserving biological and molecular context.

 

Step 2 — Multi-Scale Tissue Modeling

The platform models tissue biology across cells, neighborhoods, and regions by integrating morphological, spatial, and molecular features, resolving functional states and spatial organization that emerge from tissue.

 

Step 3 — Explainable Network & Mechanistic Inference

SpaceIQ builds interpretable tissue-level models that link spatial patterns to underlying biological mechanisms, enabling experts to understand why response/resistance occur.

 

Step 4 — Decision-Grade Outputs 

Insights are translated into program-level artifacts, including biomarker hypotheses, stratification strategies, and evidence to support go/no-go decisions.

Explore how SpaceIQ fits into your
discovery and development programs

Learn how the SpaceIQ™ platform can support tissue analysis, biomarker strategy, and program-scale decision support.

Talk to us

Subscribe to our Newsletter

* indicates required

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.

Submit your Resume

Download Whitepaper

Download Whitepaper

B. Dusty Majumdar, PhD

CHIEF EXECUTIVE OFFICER

Linkedin-in

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

Linkedin-in

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

Linkedin-in

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.