PredxBio

Bending the survival curve for
immunotherapy cancer patients
with spatially intelligent biology

What if

you could identify sub-populations of patient response to immunotherapy with >90% confidence and radically improve your biomarker discovery, target identification, and design of clinical trials?

The convergence of unbiased spatial analytics and explainable AI ushers in a new era of spatially intelligent biology. The novel insights from our platforms reveal the existence of intermediate cell types and their functional states as well as communications between cells.

Our solutions empower clinicians/researchers to accelerate drug discovery, optimize clinical trials, advance companion diagnostics, personalize therapeutic options, and improve clinical workflows.

Transforming Drug Discovery and Clinical Development with
Spatially Intelligent Biology

Accelerated Drug Discovery
Our solutions are the only ones in the market that identify novel cell types, biomarkers & targets leveraging data-driven, hypothesis-free unbiased spatial analytics and explainable AI
Optimized Clinical Trials
Our solutions achieve previously unattainable level of precision in patient stratification for clinical trials
Advanced Companion Diagnostics
Our advanced solutions create highly predictive companion diagnostics and prognostics
Personalized Therapeutic Options
Our solutions attain highly personalized adjuvant therapy options for individual patients and provide actionable insights to patient outcomes
Efficient and Accurate Clinical Workflows
Our solutions address the unmet pathology needs by bringing innovations and delivering unparalleled flexibility and ease

Accelerated Drug Discovery

Our solutions are the only ones in the market that identify novel cell types, biomarkers & targets leveraging unbiased spatial analytics and explainable AI

Optimized Clinical Trials

Our solutions achieve previously unattainable level of precision in patient stratification for clinical trials

Advanced Companion Diagnostics

Our precision pathology solutions create highly predictive companion diagnostics and prognostics

Personalized Therapeutic Options

Our solutions attain highly personalized adjuvant therapy options for individual patients and provide actionable insights to patient outcomes

Efficient and Accurate Clinical Workflows

Our solutions address the unmet pathology needs by bringing innovations and delivering unparalleled flexibility and ease

Are you leveraging the power of

Spatially Intelligent Biology?

Learn more about why explainable AI and next generation unbiased spatial analytics make a
difference in immunotherapy. 

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B. Dusty Majumdar, PhD

CHIEF EXECUTIVE OFFICER

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.