xCellSense®: Drug Combination Optimization

Find the Right Combination, Measured in Patient Cells

xCellSense® quantifies synergy and antagonism for your asset against standard-of-care backbones, directly in primary patient samples, with ML-integrated scoring and regimen ranking.

The combination question, answered functionally

The combination value varies among patients and is often inaccurately predicted by cell lines. We evaluate your compound both alone and in combination with standard-of-care (SoC) therapeutics and other standard agents using the same primary samples, and then measure the actual performance of these combinations.

A male scientist looking through a microscope

What we measure

Synergy matrices
Quantitative scoring across multiple frameworks (Bliss, Loewe, ZIP, HSA) with detection of antagonism.

Combination dose-response
Full dose-response across the combination grid, per sample.

Responder Fraction
Estimated proportion of samples showing combination benefit.

ML-integrated ranking
Machine-learning-supported synergy scoring that ranks regimens and identifies patient subgroups most likely to benefit.

Why it de-risks development

  • Avoid antagonistic pairings before the clinic
  • Prioritize the dosing window and the partner most likely to succeed
  • Support a defensible rationale for protocols, IND-stage packages, and partnering discussions.

Key Deliverables

01
Synergy matrix (Bliss / Loewe / ZIP / HSA) with antagonism detection
02
Combination dose-response curves across the grid, per sample
03
Regimen ranking with ML-supported synergy scoring
04
Responder-fraction estimate and subgroup signal
05
Interpretation memo and dataset with fast turnaround
Let's Talk

Scope a Combination Study on primary patient cells

A scientist — not a sales desk — will scope a tailored study and return a design and timeline.