AI-driven genomic analysis could help researchers identify existing drugs that may be repurposed for subtype-specific breast ...

In a major breakthrough, a team of researchers from The City College of New York and Memorial Sloan Kettering Cancer Center (MSKCC) has developed a new AI model that can detect breast cancer in MRI ...

The U.S. Food and Drug Administration (FDA) has approved the first artificial intelligence (AI) tool to predict breast cancer risk. The authorization was confirmed by digital health tech company ...

HOPPR, a company focused on transforming how AI is developed for medical imaging, today introduced its HOPPR® EB 2D Mammo Narrative Model, a vision-language model designed to translate 2D mammography ...

Mikael Eriksson, PhD, epidemiologist at Karolinska Institute in Sweden, discusses the development and implementation of an artificial intelligence (AI) model to reduce bias and improve breast cancer ...

Advances in artificial intelligence (AI) are revolutionizing cancer detection and care. Researchers now report that AI tools can identify breast cancer up to five years before clinical diagnosis, ...

The United Kingdom is embarking on one of its most ambitious healthcare initiatives as artificial intelligence prepares to revolutionize breast cancer screening. The £11 million Early Detection using ...

When 68-year-old retiree Ellen Costello received an email asking if she wanted to participate in a medical study about artificial intelligence and breast cancer, she hesitated at first. Did she really ...

Forbes contributors publish independent expert analyses and insights. Juergen Eckhardt leads Bayer’s impact investment unit, Leaps by Bayer. Over the next 12 months, tens of thousands of women across ...

The Minns Labor Government is delivering over $11 million in funding to support novel cancer research projects, including research into incurable childhood brain cancer Diffuse Intrinsic Pontine ...

Breast cancer is the most common cancer among women, with over 2.3 million new cases diagnosed each year. Traditional diagnostic methods rely heavily on human judgment, which can lead to inconsistent ...

According to a study published in the European Journal of Cancer, the fairness and equity of datasets for AI-driven mammogram interpretation might be jeopardized by the underrepresentation of racial ...