Scientific Evidence

Evidence & Publications

Peer-reviewed research, conference presentations, and papers validating the capabilities of Ataraxis™ platform and our AI research.

Prognostic Risk Refinement using Artificial Intelligence in HR+/HER2- Early Breast Cancer: Implications for CDK4/6 Eligibility Criteria

Publications

Showing 25 total results

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February 2026

Comparing an AI test to a 21-gene assay for premenopausal node-positive HR+/HER2-breast cancer

January 2026

Prognostic Risk Refinement using Artificial Intelligence in HR+/HER2- Early Breast Cancer: Implications for CDK4/6 Eligibility Criteria

December 2025

SABCS 2025: Aligning AI Recurrence Predictions with Real-world Recurrence Rates Through Survival Calibration

December 2025

SABCS 2025: Artificial Intelligence-Based Histopathology Model Predicts Recurrence Risk in Older Patients with Early HR+/HER2− Breast Cancer: Results from the Basel University Hospital Cohort

December 2025

SABCS 2025: AI predicts response to neoadjuvant therapy in breast cancer across diverse cohorts

December 2025

SABCS 2025: AI-driven risk reclassification in HR+/HER2- breast cancer: real-world comparison with the 21-gene assay

December 2025

SABCS 2025: Pan-cancer AI foundation models yield accurate biomarker and survival predictions in breast cancer

May 2025

ASCO 2025: Clinical validation of a multi-modal Ataraxis AI platform for recurrence prediction in early-stage breast cancer across multiple patient cohorts.

May 2025

ASCO 2025: Retrospective validation of a novel multimodal AI prognostic tool integrating digital pathology and clinical data against real world data and Oncotype DX in a Swiss breast cancer cohort.

May 2025

ESMO Breast 2025: AI foundation model for breast cancer characterization and outcome prediction

October 2024

Squeezing performance from pathology foundation models with chained hyperparameter searches

October 2024

Multi-modal AI for comprehensive breast cancer prognostication

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