Hem/Onc Round-up: AI Algorithm Identifies Breast Cancer; Racial Disparity in Lung Cancer Incidence; and More

By Rob Dillard - Last Updated: August 28, 2020

Here are the top stories recently covered by DocWire News in the hematology/oncology section.

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An artificial intelligence algorithm can be just as accurate at identifying breast cancer as a radiologist, according to a study published in JAMA Oncology.

https://www.docwirenews.com/docwire-pick/hem-onc-picks/study-finds-ai-algorithm-as-accurate-as-radiologist-in-identifying-breast-cancer/

Premenopausal women with breast cancer who previously underwent radiation for a primary childhood, adolescent, or young adult cancer have worse breast cancer survival rates, according to the findings of a study published in Cancer Epidemiology, Biomarkers & Prevention.

https://www.docwirenews.com/latest-general-medical-news/radiation-treatment-in-young-adult-cancer-linked-to-worse-breast-cancer-outcomes/

Implementing an intensive lifestyle intervention (ILI) aimed at weight loss can attenuate the risk of obesity-related cancers in adults who are overweight, obesity, or have type 2 diabetes, according to the findings of a study published in Obesity.

https://www.docwirenews.com/docwire-pick/hem-onc-picks/weight-loss-intervention-reduces-the-risk-of-obesity-related-cancer/

Trends in lung cancer incidence rates in young Black people versus young white people in the United States has reversed, with the Black/white gap disappearing in men and reversing in women, according to a study published in JNCI Cancer Spectrum.

https://www.docwirenews.com/docwire-pick/hem-onc-picks/study-finds-racial-disparity-in-lung-cancer-incidence-reversed-among-young-adults/

 

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