AI-Powered Precision for Neoadjuvant Therapy Planning

Ataraxis Breast helps guide neoadjuvant therapy decision prior to surgery for patients with stage I–III breast cancer across all subtypes. By analyzing morphological features from standard H&E slides together with clinical data, the platform delivers an individual’s likelihood of achieving pathologic complete response (pCR) after neoadjuvant therapy.

Overall pCR likelihood: deeper predictive insight for neoadjuvant decision-making

How do we predict likelihood of achieving pCR?

Our neoadjuvant therapy response AI model was trained and evaluated on ~3,000 global patients

~1,000 patients
Training
~2,000 patients
Evaluation

Classification of patients into pCR groups based on likelihood of response to neoadjuvant therapy


After generating a patient’s predicted likelihood of pCR, subtype-specific thresholds are applied to classify the result as low, intermediate, or high likelihood. This stratification was evaluated across breast cancer subtypes using real-world datasets from patients treated with contemporary standard-of-care neoadjuvant therapies, including TCHP/THP for HER2-positive disease, KEYNOTE-522–based regimens for TNBC, and neoadjuvant chemotherapy for HR+/HER2-negative disease.

HR+HER2- (n=296)
AUC:0.85 (0.76-0.96)
HER2+ (N=916)
AUC:0.66 (0.60-0.73)
TNBC (N=254)
AUC:0.77 (0.68-0.86)

Axillary pCR likelihood for node-positive cases

In addition to receiving a predicted likelihood of achieving pCR, all clinically node-positive (cN+) patients also receive an estimated probability of axillary pCR on their test report, stratified by their pCR risk group (low, intermediate, or high). This information may help inform surgical decision-making by identifying patients who are more likely to achieve nodal clearance after neoadjuvant therapy and who may therefore be candidates for less extensive axillary surgery.

Learn more about our technology

Make the most informed call for your patients.

How likely is treatment before surgery to eliminate cancer?

Personalized insight to guide your first treatment choice

Female doctor showing information on a tablet to a woman patient in a consultation.

If you’ve been diagnosed with breast cancer, your doctor may recommend treatment before surgery, called neoadjuvant therapy. It can be an important step, but it’s often hard to know upfront how well it will work.

Ataraxis Breast uses the biopsy slides already collected during your care, plus routine clinical information, to estimate how your cancer is likely to respond. No new procedures are needed.

Our test can be used for early-stage breast cancer across:

  • All molecular subtypes, regardless of ER, PR, or HER2 status
  • Premenopausal women and postmenopausal women
  • Regardless of cancer presence in lymph nodes 

I might want this test if...

My doctor is recommending treatment before surgery, and I want to know my chances of a complete response.
I’m choosing between different pre-surgery treatment plans and want guidance tailored to me.
Keeping or clearing cancer from the lymph nodes is a key concern in my treatment plan.
I’m hoping for breast-conserving surgery, and want to know if treatment is likely to shrink the tumor enough.
I'm in a gray area under standard guidelines, and want a more personalized answer.
I want to avoid unnecessary treatment and side effects if the expected benefit is low.

How do we predict likelihood of achieving pCR?

Our neoadjuvant therapy response AI model was trained and evaluated on ~3,000 global patients

~1,000 patients
Training
~2,000 patients
Evaluation

What does pCR mean and why is it so important?

Achieving pCR means that after neoadjuvant therapy, no cancer is found in the breast or lymph nodes at surgery.  Patients who achieve pCR usually have:

A much lower risk of the cancer returning
Some of the best long-term outcomes

Knowing your chance of pCR upfront can help you and your doctor choose the treatment plan that fits you best.

Two circular illustrations comparing tissue before and after treatment; before treatment shows clustered blue active cancer cells among red cells, after treatment shows only red cells with a checkmark, indicating no cancer found and successful treatment.

Learn more about our technology

Could this test guide your care?
Let's talk.