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

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

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

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.

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.

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.

Study Finds Racial Disparity in Lung Cancer Incidence Reversed Among Young Adults