AI at Work: How Salesforce AI Could Make Therapeutic Decision-Making for Breast Cancer More Accurate, Affordable and Accessible
An article from Salesforce - Breast cancer affects 1/8 women in the USA, and rates of breast cancer are increasing.
[An article from Salesforce]
AI at Work: How Salesforce AI Could Make Therapeutic Decision-Making for Breast Cancer More Accurate, Affordable and Accessible
- Breast cancer affects 1/8 women in the USA, and rates of breast cancer are increasing.
- Humans are good at spotting cancer by looking at patterns in cells. But a new AI tool, ReceptorNet, can supplement human theragnosis by identifying the subtle differences in those patterns to inform better treatment decisions.
- ReceptorNet was developed in collaboration between Salesforce and Dr. David Agus at the Lawrence J. Ellison Institute for Transformative Medicine of USC.
- ReceptorNet could make treatment less expensive and more readily available, particularly in developing countries.
Imagine being a doctor and having a precocious resident permanently by your side, giving you brilliant insight into disease and helping you to identify the best treatment path for your patients.
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https://www.salesforce.com/news/stories/salesforce-ai-breast-cancer/?bc=OTH&