ExtremeTech

New MIT AI Model Helps Identify Riskiest Forms of Breast Cancer, Avoid Overtreatment

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Science Daily

AI model identifies certain breast tumor stages likely to progress to invasive cancer

A new machine-learning model can identify the stage of disease in ductal carcinoma in situ, a type of preinvasive tumor that can sometimes progress to a deadly form of breast cancer. This could help ...
ascopubs.org

Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis

Development and Validation of an Artificial Intelligence Digital Pathology Biomarker to Predict Benefit of Long-Term Hormonal Therapy and Radiotherapy in Men With High-Risk Prostate Cancer Across ...
ascopubs.org

Long-Term Performance of an Image-Based Short-Term Risk Model for Breast Cancer

High-Grade Serous Carcinoma at Risk-Reducing Salpingo-Oophorectomy in Asymptomatic Carriers of BRCA1/2 Pathogenic Variants: Prevalence and Clinical Factors We performed a case-cohort study of 8,604 ...
EurekAlert!

An interpretable machine learning model for predicting 5‐year survival in breast cancer based on integration of proteomics and clinical data

n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...