Meet us at ASCO 2025

Meet us at ASCO 2025

Derisk ADC Development with AI-powered Quantitative Continuous Scoring (QCS) and Spatial Proximity Analysis

Antibody drug conjugates (ADCs) hold great promise in oncology, but tumor heterogeneity and the complex mechanism of action (MOA) of the drug and evolving resistance mechanisms present a significant challenge for development.

Let’s explore how AI spatial proteomics and OD-based quantitative scoring of IHC assays can help you derisk your ADC programs.

Demo our AI-powered Spatial Inference Platform for Qualifying ADCs and Bispecific Therapeutic Targets

We’ve built a comprehensive analysis studio so you can leverage multiplex imaging and pathology data to map target distribution and heterogeneity, quantify the bystander effect, assess off-target toxicity and immunogenicity risk, and design biomarker-informed clinical trials.

Immunotherapy Poster Session

 Application of a novel multiplex imaging-based immunotherapy panel and AI-powered analysis solution for predictive spatial biomarker identification on immunotherapy-treated melanoma patients.

We've Launched a First-of-its-Kind Deep Learning Model To Automate Spatial Proteomics Analysis

We’ve developed a new deep learning model that automates and standardizes a critical bottleneck in analyzing multiplex immunofluorescence (mIF) data. This brings us one step closer to discovering and validating spatial biomarkers across samples, different antibody markers, and across study cohorts.

Our ASCO On-site Team

Dr. Ken Bloom

Head of Pathology

Jonathan Daniels

SVP Strategy & BD

Byron Lawson

Vice President, Pharma Business Development

Grainger Greene

Head of Product

Neelima Kumar

Senior Director of Marketing

Book a demo or meeting with us

Please complete the form below to schedule a meeting with our team at ASCO 2025:

Related Resources

Envisioning the Future of ADCs with AI Spatial Proteomics.
Intro to AI Spatial Biomarkers & Diagnostics for ADCs.
Using AI-Based Spatial Analysis to Explore Immunotherapy Biomarkers.