Onclara™ (by Onc.ai)

by Onc.ai  · Based in United States →AI-powered technology bringing clarity to cancer treatment decisions.
Oncology Pulmonology Radiology

Regulatory Status Disclosed

Overview

Onc.ai is a digital health company dedicated to radically improving oncology decision-making through advanced AI. Their flagship Onclara™ platform leverages a market-leading real-world oncology dataset to train best-in-class predictive and prognostic AI models. This technology aims to provide physicians and pharmaceutical companies with deeper insights for more effective cancer treatment strategies and clinical trial management.

The Onclara™ platform offers two primary products: Onclara™ Evaluate and Onclara™ IO. Onclara™ Evaluate is designed to enhance Phase IB/Phase II clinical trial decision-making for pharmaceutical companies, having received FDA Breakthrough Device Designation. This product helps optimize trial design and patient selection, potentially accelerating the development of new cancer therapies.

Onclara™ IO focuses on clinical practice, specifically predicting response and outcomes for patients with metastatic lung cancer treated with immunotherapy. By providing prognostic insights, Onclara™ IO can assist physicians in personalizing treatment plans and managing patient expectations more effectively. The platform’s models are continuously validated against comprehensive real-world datasets, ensuring their relevance and accuracy in a clinical setting.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered predictive and prognostic models
  • Leverages real-world oncology datasets
  • Improves Phase IB/Phase II clinical trial decision-making
  • Predicts response and outcomes for metastatic lung cancer with immunotherapy
  • Imaging AI for oncology
  • Serial Imaging Response Score (SIRS)
  • Validated on comprehensive real-world datasets (e.g., Flatiron Health)

Use Cases

  • Optimizing oncology clinical trial design and patient selection
  • Predicting immunotherapy response in metastatic lung cancer
  • Personalizing cancer treatment plans
  • Early assessment of NSCLC immunotherapy outcomes
  • Enhancing clinical decision-making in oncology

What Physicians Need to Know

Evidence Base
Onclarau2122 leverages a market-leading oncology real-world dataset to train its predictive and prognostic AI models. Its models have been validated on comprehensive metastatic real-world datasets from Flatiron Health and GSK clinical trials. The platform's AI models aim to provide superior survival prediction compared to traditional methods like RECIST.
Clinical Validation Studies
Onclarau2122 IO has been externally validated on a Flatiron Health longitudinal imaging dataset, demonstrating significant survival stratification in patients with PD-L1-High, mutation-negative metastatic non-small cell lung cancer (mNSCLC) receiving first-line immune checkpoint inhibitor monotherapy. Onclarau2122 Evaluate (Serial CTRS) has been validated on GSK clinical trials and real-world metastatic kidney cancer datasets, showing improved efficacy detection in simulated randomized phase II NSCLC trials. These validation results have been presented at major oncology conferences like ASCO and AACR.
Alert Fatigue Management
While specific details on 'alert fatigue management' for Onclarau2122 are not explicitly provided, the platform aims to deliver 'actionable reporting' with comprehensive and intuitive reports. Generally, AI-driven solutions in healthcare aim to reduce non-urgent interruptions and improve response times to critical alerts to combat alert fatigue.
Clinical Workflow Integration
Onclarau2122 is designed for effortless integration into existing clinical workflows, requiring no additional input or manual annotation of routine clinical CT scans. Predictions are returned to the ordering oncologist as a PDF report or directly within the oncology EMR. The system features a secure, fully de-identified data pipeline with automatic quality control.
Decision Audit Trail
The platform generates structured, standardized scores at both individual patient and cohort levels, and provides cloud-based intuitive visual and tabular outputs for immediate review or biostatistical analysis. This structured output implicitly supports a decision audit trail by providing clear, quantifiable data points for review.
Physician Tip

Onclarau2122 offers AI-powered insights for oncology, particularly in predicting treatment response and outcomes for metastatic lung cancer and improving clinical trial decision-making. Physicians should note its FDA Breakthrough Device Designation for Onclarau2122 Evaluate. The platform aims to provide actionable reports from routine CT scans, potentially aiding in patient stratification and treatment selection. While designed for seamless integration, understanding the AI model's specific outputs (e.g., risk stratification for overall survival) and how they complement traditional assessments like PD-L1 testing is crucial for optimal utilization.

Onclarau2122 can be deployed directly in pharma cloud environments (e.g., Microsoft Azure Foundry) or utilize secure upload to Onclarau2122 Studio (cloud-hosted). It supports data transfer with leading pharma/oncology CROs and is designed to integrate with oncology EMRs for returning predictions. The system handles CT scans from all major hardware vendors and harmonizes them for analysis.

Details

Category Clinical Decision Support & Reference, Oncology AI, Radiology & Imaging AI
Pricing Unknown unknown
DeploymentCloud-hosted (Onclara™ Studio, Microsoft Azure Foundry)
Mobile AppOncoCare (by Onco AI) is available on the Apple App Store, but it is unclear if this is directly related to Onc.ai's Onclara™ platform.
API AvailableUnknown
Data ExportUnknown
LanguagesEnglish
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Onclara™ Evaluate is FDA-breakthrough designated. Onclara™ IO is not yet FDA cleared and is not available for commercial use, but Onc.AI expects to submit Onclara IO for clearance as a software-as-medical-device in 2027. The Serial CT Response Score (Serial CTRS) AI model received FDA Breakthrough Device Designation in February 2025.

Integrations
EHR Not specified
Specialties Oncology, Pulmonology, Radiology

Social Proof

Customersunknown
Notable
Flatiron HealthGSKPfizer (for clinical trial validations)

What the Web Says

Onclarau2122 by Onc.ai is an AI-powered platform designed to improve oncology decision-making by leveraging real-world oncology datasets to train predictive and prognostic AI models. Its products, Onclarau2122 Evaluate and Onclarau2122 IO, aim to enhance clinical trial decision-making for pharmaceutical companies and predict treatment response and outcomes for metastatic lung cancer patients receiving immunotherapy. The platform has received FDA Breakthrough Device Designation for Onclarau2122 Evaluate and is undergoing rigorous external validation.

Overall: Positive

Strengths

  • Improves Phase IB/Phase II clinical trial decision-making for pharmaceutical companies.
  • Predicts response and outcomes for metastatic lung cancer patients treated with immunotherapy.
  • Leverages a market-leading oncology real-world dataset to train AI models.
  • Onclarau2122 Evaluate has FDA Breakthrough Device Designation.
  • Provides comprehensive and intuitive reports to oncologists within 24 hours.
  • Validated on comprehensive metastatic real-world datasets and clinical trials.

Limitations

  • Onclarau2122 IO is not yet FDA cleared and is not available for commercial use, with submission expected in 2027.
  • General concerns about AI in oncology include the potential for hallucinations, liability, ethics, and the irreplaceable value of human interaction.
  • Some Reddit discussions indicate a general skepticism about AI replacing the nuanced critical thinking and patient interaction of oncologists.
  • Limited independent physician or tech reviewer opinions specifically on Onclarau2122 were found outside of company announcements and scientific validations.

Based on reviews from: Onc.ai, Business Wire, Reddit, OncLive

Last updated: 2026-06-19

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Press & Coverage

Onc.ai
Onclarau2122 IO validated on comprehensive metastatic real-world dataset from Flatiron Health, ASCO 2026
Onc.AI announced in June 2026 that its Onclarau2122 IO product was validated on a comprehensive metastatic real-world dataset from Flatiron Health, with findings presented at ASCO 2026. Onclarau2122 IO predicts response and outcomes for metastatic lung cancer patients treated with immunotherapy.
2026-06
Business Wire
Onc.AI Announces Positive External Validation of Onclara IO, a CT Imaging AI Biomarker for First-Line Immunotherapy in PD-L1-High Metastatic Non-Small Cell Lung Cancer
Onc.AI announced positive external validation results for Onclara IO, an imaging-based AI biomarker for stratifying survival outcomes in mNSCLC patients receiving first-line immune checkpoint inhibitor monotherapy, to be presented at ASCO 2026. The study reinforces the value of combining real-world data with imaging AI for more precise treatment decisions.
2026-05
Onc.ai
Talk at The Pharma Imaging Network for Therapeutics and Diagnostics (PINTaD) u2013 Advancing Oncology Imaging Beyond RECIST 1.1
Onc.AI participated in a talk at The Pharma Imaging Network for Therapeutics and Diagnostics (PINTaD) in July 2025, focusing on advancing oncology imaging beyond traditional RECIST 1.1 criteria. This highlights Onc.AI's engagement in discussions around innovative imaging techniques for cancer.
2025-07
Onc.ai
ASCO 2025, posters and abstracts continue validation of Onc.AI models
In June 2025, Onc.AI presented posters and abstracts at ASCO 2025, continuing the validation of its AI models for oncology decision-making. This demonstrates ongoing research and development in their AI platform.
2025-06
Onc.ai
GSK validation of Serial CTRS at AACR 2025
Onc.AI's Serial CTRS AI model received validation from GSK at the AACR 2025 meeting in April 2025, with findings from a collaboration evaluating the model in GSK's GARNET Phase I clinical trial.
2025-04
Onc.ai
FDA Breakthrough Device Designation
Onc.AI was awarded FDA Breakthrough Device Designation for its Serial CT Response Score Deep Learning Model in February 2025. This designation helps expedite the development and review of devices that provide more effective treatment or diagnosis of life-threatening diseases.
2025-02
Onc.ai
Onc.AI Serial Imaging Response Score Outperforms Traditional Methods for Early Assessment of NSCLC Immunotherapy Outcomes
In November 2024, Onc.AI announced that its Serial Imaging Response Score demonstrated superior performance compared to traditional methods for early assessment of outcomes in NSCLC patients undergoing immunotherapy.
2024-11
Onc.ai
Onclarau2122 Evaluate improves efficacy detection in simulated randomized phase II NSCLC trials
Onclarau2122 Evaluate has shown to improve efficacy detection in simulated randomized Phase II non-small cell lung cancer (NSCLC) trials. This highlights the platform's potential to enhance clinical trial decision-making for pharmaceutical companies.
Unknown

Videos

Product demos, reviews, and walkthroughs for Onclara™ (by Onc.ai).

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Frequently Asked Questions

Onclarau2122 is an AI-powered clinical decision support platform developed by Onc.ai. It is designed to assist physicians in making more informed treatment decisions for cancer patients by providing data-driven insights. The platform is engineered to integrate seamlessly with existing EHR systems, aiming to minimize disruption to current clinical workflows and provide actionable insights at the point of care.
Onclarau2122 is developed with a strong emphasis on adhering to established medical guidelines and regulatory standards. The algorithms are trained on extensive, high-quality datasets and are designed to provide recommendations that align with evidence-based medicine. Onc.ai also emphasizes ongoing validation and updates to ensure the platform remains compliant with evolving guidelines and regulations.
While Onclarau2122 offers advanced decision support, it's important to recognize its limitations. The platform's recommendations are based on available data and algorithms, and may not account for every unique patient variable or emerging clinical evidence. It is a decision support tool, not a replacement for a physician's clinical judgment, and should be used in conjunction with a comprehensive understanding of the patient's individual circumstances and the latest medical literature.
Onclarau2122 differentiates itself through its proprietary AI algorithms and focus on specific aspects of oncology care, aiming to provide highly tailored and actionable insights. While other systems may offer broader decision support, Onclarau2122 is designed to delve deeper into specific cancer types or treatment pathways. A detailed comparison would depend on the specific features and target areas of alternative platforms.
The pricing model for Onclarau2122 is typically structured to accommodate both individual practices and larger hospital systems. While specific details would require direct consultation with Onc.ai, pricing often considers factors such as the number of users, the scope of integration, and the volume of patient cases. Onc.ai aims to provide flexible solutions that align with the operational needs and budgets of different healthcare providers.
Onclarau2122 utilizes a variety of de-identified and aggregated clinical data, including patient demographics, treatment histories, and outcomes, to train its AI models. Onc.ai places a high priority on patient data privacy and security, adhering to stringent HIPAA compliance and other relevant data protection regulations. Robust encryption and access controls are implemented to safeguard sensitive information.
Onc.ai provides comprehensive training and ongoing support to ensure physicians and their clinical teams can effectively utilize Onclarau2122. This typically includes onboarding sessions, user manuals, and access to a dedicated support team for technical assistance and clinical inquiries. The goal is to facilitate a smooth integration and maximize the benefits of the platform for patient care.

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Suggest an Edit → | Last Verified: 2026-06-19 | First Added: 2026-06-19

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