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Caris Life SciencesPartnership

Caris Life Sciences, ECOG-ACRIN and NRG Oncology Study Demonstrates Multimodal AI Approach to Predict Late Distant Recurrence Risk in HR+ Early Breast Cancer

What happened

Caris Life Sciences partnered with ECOG-ACRIN Cancer Research Group and NRG Oncology on a study to develop and validate an AI model for predicting late distant recurrence risk in early breast cancer.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

Findings published in Cancer Research Communications highlight potential to inform extended endocrine therapy decisions IRVING, Texas, Aug. 6, 2026 /PRNewswire/ -- Caris Life Sciences ® (Caris), a leading TechBio company, today announced the publication of a study in Cancer Research Communications demonstrating the ability of a multimodal, multitask deep learning model to estimate late distant recurrence risk in hormone receptor-positive (HR+) early breast cancer. The study, titled "Development and Validation of a Multimodal-Multitask Deep Learning Approach for Estimating Late Distant Recurrence Risk in Hormone Receptor–Positive Early Breast Cancer," was conducted by a team of researchers from across the public and private sectors, including Caris Life Sciences and two leading cooperative research organizations, the NSABP Foundation/NRG Oncology and the ECOG-ACRIN Cancer Research Group (ECOG-ACRIN). HR+ breast cancer represents approximately 70–80% of all breast cancer diagnoses and is associated with a prolonged risk of recurrence that can persist well beyond the initial five years of endocrine therapy, which is standard of care. Recurrence can happen at the original tumor site or further away in the body (distant recurrence). While extended endocrine therapy for an additional five years may reduce this risk, it comes with a trade-off of prolonged, challenging side effects...

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Extracted by Autobound

From the Signal API record
Event
Partnership

What this signalsA new partnership often opens integration and co-selling work.

Companies

  • ECOG-ACRIN Cancer Research GroupPartnerecog-acrin.org

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The full record

From the Signal API record

Extraction

Confidence
90%
Detected
Aug 6, 2026
signal_type
news
signal_subtype
partners_with

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/f9ecff19-cd0c-3f59-27fe-36306890158f returns this record as JSON. POST /v1/companies/enrich returns every signal for carislifesciences.com.

{
  "signal_id": "f9ecff19-cd0c-3f59-27fe-36306890158f",
  "signal_type": "news",
  "signal_subtype": "partners_with",
  "detected_at": "2026-08-06T12:30:00+00:00",
  "company": {
    "name": "Caris Life Sciences",
    "domain": "carislifesciences.com"
  },
  "data": {
    "url": "https://www.prnewswire.com/news-releases/caris-life-sciences-ecog-acrin-and-nrg-oncology-study-demonstrates-multimodal-ai-approach-to-predict-late-distant-recurrence-risk-in-hr-early-breast-cancer-302844374.html",
    "title": "Caris Life Sciences, ECOG-ACRIN and NRG Oncology Study Demonstrates Multimodal AI Approach to Predict Late Distant Recurrence Risk in HR+ Early Breast Cancer",
    "excerpt": "Findings published in Cancer Research Communications highlight potential to inform extended endocrine therapy decisions IRVING, Texas , Aug. 6, 2026 /PRNewswire/ -- Caris Life Sciences ® (Caris), a leading TechBio company, today announced the publication of a study in Cancer Research Communications demonstrating the ability of a multimodal, multitask deep learning model to estimate late distant recurrence risk in hormone receptor-positive (HR+) early breast cancer. The study, titled \"Development and Validation of a Multimodal-Multitask Deep Learning Approach for Estimating Late Distant Recurrence Risk in Hormone Receptor–Positive Early Breast Cancer,\" was conducted by a team of researchers from across the public and private sectors, including Caris Life Sciences and two leading cooperative research organizations, the NSABP Foundation/NRG Oncology and the ECOG-ACRIN Cancer Research Group (ECOG-ACRIN). HR+ breast cancer represents approximately 70–80% of all breast cancer diagnoses and is associated with a prolonged risk of recurrence that can persist well beyond the initial five years of endocrine therapy, which is standard of care. Recurrence can happen at the original tumor site or further away in the body (distant recurrence). While extended endocrine therapy for an additional five years may reduce this risk, it comes with a trade-off of prolonged, challenging side effects...",
    "summary": "Caris Life Sciences partnered with ECOG-ACRIN Cancer Research Group and NRG Oncology on a study to develop and validate an AI model for predicting late distant recurrence risk in early breast cancer.",
    "planning": false,
    "image_url": "https://mmx.prnewswire.com/media/MS863020/Caris-Life-Sciences-Logo.jpg?id=OA2828404&p=facebook",
    "confidence": 0.9,
    "published_at": "2026-08-06T12:30:00Z",
    "article_sentence": "The study, titled \"Development and Validation of a Multimodal-Multitask Deep Learning Approach for Estimating Late Distant Recurrence Risk in Hormone Receptor–Positive Early Breast Cancer,\" was conducted by a team of researchers from across the public and private sectors, including Caris Life Sciences and two leading cooperative research organizations, the NSABP Foundation/NRG Oncology and the ECOG-ACRIN Cancer Research Group (ECOG-ACRIN).",
    "related_company_name": "ECOG-ACRIN Cancer Research Group",
    "related_company_domain": "ecog-acrin.org"
  }
}

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