New Stanford Study Supports Personalized Prostate Cancer Mapping Through Machine Learning

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Stanford University School of Medicine’s Department of Urology has published a new study in the European Urology Open Science journal highlighting the effectiveness of Avenda Health’s artificial intelligence (AI) model, Unfold AI, in identifying the extent of prostate cancer. The study found that Unfold AI is effective in encapsulating all of the clinically significant cancer within the prostate. In 80% of cases, Unfold AI identified clinically significant prostate cancer, significantly higher than conventional margins, which was only 56%. Dr. Brittany Wenger, co-founder and CEO of Avenda Health, said the validation of their AI mapping platform represents a shift from the standard of treating the entire prostate, which results in nearly 50% of patients losing their sexual or urinary function. She added that personalized care needs to be provided to achieve the goal of improving quality of life, and preventing recurrence.

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Frequently Asked Questions (FAQs) Related to the Above News

What is the new study published by Stanford University's Department of Urology?

The department has published a study in the European Urology Open Science journal that supports the effectiveness of Avenda Health's artificial intelligence (AI) model, Unfold AI, in identifying the extent of prostate cancer.

How effective is Unfold AI in identifying clinically significant prostate cancer?

In the study, Unfold AI identified clinically significant prostate cancer in 80% of cases. This is significantly higher than conventional margins, which only identified cancer in 56% of cases.

Who led the study and what did they conclude?

The study was led by the Department of Urology at Stanford University School of Medicine. They concluded that Unfold AI is effective in encapsulating all of the clinically significant cancer within the prostate.

What is the current standard treatment for prostate cancer?

The standard of treating the entire prostate usually results in nearly 50% of patients losing their sexual or urinary function.

What solution does Dr. Brittany Wenger, co-founder and CEO of Avenda Health, propose?

Dr. Brittany Wenger stated that personalized care needs to be provided to achieve the goal of improving quality of life and preventing recurrence. This represents a shift from relying on the standard of treating the entire prostate to treating only the clinically significant cancer through machine learning.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Kunal Joshi
Kunal Joshi
Meet Kunal, our insightful writer and manager for the Machine Learning category. Kunal's expertise in machine learning algorithms and applications allows him to provide a deep understanding of this dynamic field. Through his articles, he explores the latest trends, algorithms, and real-world applications of machine learning, making it accessible to all.

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