Thought Leadership

Spatially Intelligent Platform - White Paper

March , 2024

Exciting breakthroughs in our latest article: How Spatial Biology Can Improve Efficiency and Outcomes in Immuno-Oncology?

May 25, 2023

A great thought-leadership piece on the design of the next generation Spatial Biomarkers for more robust predictive performance for immunotherapy.

May 8, 2023

Webinars and Interviews

Explainable, Unbiased AI and Computational Systems Pathology: Q&A with Dusty Majumdar and Chakra Chennubhotla

Sep 22, 2022

PredxBio Powers Precision Pathology with Spatial AI

Sep 20, 2022

ASCO 2022 Podcast on Next Generation Spatial Biology

Jun 6, 2022

Precision Pathology Using Explainable AI

April 30, 2022

The new SpaceIQ platform differentiates itself from other general computational pathology platforms with its focus on spatial intelligence and explainable-AI to reveal insights that help in accelerating discovery, optimizing clinical trials, advancing companion diagnostics, and personalizing therapeutic options.

TumorMaprTM Analytical Software Platform

September 21, 2021

Our webinar on TumorMapr analytical software platform – the most powerful unbiased spatial analytics and explainable artificial intelligence (xAI) platform in the market extracting information and creating knowledge from multi to hyperplexed fluorescence and/or mass spectrometry image datasets – is available on demand.

Chakra Chennubhotla, PhD presented the TumorMapr technology, TumorMapr-BasicTM and TumorMapr-AdvancedTM pipeline, results, and critical aplication areas together with a demonstration.


PredxBio at AACR 2022

PredxBio is ushering a new era of unbiased spatial analytics and explainable AI in precision pathology at AACR 2022 PredxBio announces that it will attend

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PredxBio at AACR 2022

PredxBio is ushering a new era of unbiased spatial analytics and explainable AI in precision pathology at AACR 2022 PredxBio announces that it will attend

Read More

TumorMapr Webinar OnDemand

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B. Dusty Majumdar, PhD


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

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

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.