Cell death and disease study by Institute scientists Sheds light on targeted protein to fight breast cancer - Austin Daily Herald

Cell death and disease study by Institute scientists Sheds light on targeted protein to fight breast cancer - Austin Daily Herald

Roughly 1 in 8 women will be diagnosed with invasive breast cancer over their lifetimes, according to the American Cancer Society—and for the year 2024, it was estimated that more than 300,000 women in the United States would be diagnosed with breast cancer, and more than 40,000 would die from the disease. If we want to reduce these numbers, increasing our understanding of how breast cancer operates in order to improve prevention, detection, and…

AI Shows Promise in Detecting Overlooked Breast Cancers Between Screenings

Source Credit: freepik What You Should Know:  – Artificial intelligence (AI) could play a crucial role in identifying breast cancers that develop between routine screening mammograms, potentially detecting them before they become more advanced and challenging to treat, according to a new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center.  – The research suggests that integrating AI into breast cancer screening pra…

Mammography Study Compares False Positives Between AI and Radiologists in DBT Screening

For DBT breast cancer screening, 47 percent of radiologist-only flagged false positives involved mass presentations whereas 40 percent of AI-only flagged false positive cases involved benign calcifications, according to research presented at the recent American Roentgen Ray Society (ARRS) conference.