AI tool predicts 80% of ovarian cancer therapy outcomes

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Here is the latest issue of the Cancer Innovations newsletter.

If you have any questions, feel free to hit reply. You can also find me on Twitter @thomassorheim 

- Thomas

Today’s topics

1. Unfold AI in Prostate Cancer Receives FDA Clearance

2. AI-powered method for cancer treatment by interpreting tumor tissue data

3. AI tool predicts 80% of ovarian cancer therapy outcomes

Unfold AI in Prostate Cancer Receives FDA Clearance

A Stanford study has shown the efficacy of Avenda Health's Unfold AI in prostate cancer treatment, surpassing traditional methods by encapsulating 80% of clinically significant cancer. The AI integrates biopsy and imaging data for improved cancer risk and margin assessment. 

This year, unfold AI was awarded a category III CPT code and FDA clearance. 

According to Unfold AI, most prostate cancers are invisible on MRI. When removing the cancer by surgery, the doctors must balance sparing healthy tissue and preserve quality of life while minimizing the risk of leaving cancer behind. Unfold AI marks a significant advance in personalized prostate cancer care. 

News coverage: 

• Urology Times

• Press release 1

• Press release 2

Doctors:

• Brittany Berry-Pusey, PhD

Company & AI: 

• Unfold AI from Avenda Health

Institutions mentioned: 

• Stanford University School of Medicine's Department of Urology

AI-powered method for cancer treatment by interpreting tumor tissue data

Researchers at Karolinska Institutet and SciLifeLab in Sweden have developed a groundbreaking AI-powered method for cancer treatment by interpreting tumor tissue data. Drawing inspiration from analysis techniques in satellite imaging and community ecology, dating back to the 1950s and 2000s, they have created a system that can handle the vast data generated by modern tumor imaging. This approach overcomes the limitations of traditional AI methods, which often act as a "black box," providing results without clear explanations. These new advances with AI can lead to more tailor-made and personalized treatments for each individual's needs and potentially reduce side effects. 

Link to research paper: Nature Communications
News coverage: News Medical
Doctor’s mentioned: 

• Jean Hausser

• Fabio Lipreri

• Ziqi Kang

• Louise Gsell

• Alper Eroglu

• David Alber

• Anissa EL MARRAHI

Institutions mentioned: 

• Karolinska Institutet

• SciLifeLab

AI tool predicts 80% of ovarian cancer therapy outcomes

In a study with 134 patients published, the AI tool IRON (Integrated Radiogenomics for Ovarian Neoadjuvant therapy) marks a significant advance in personalized oncology. Developed by Prof. Evis Sala's team, IRON achieves an 80% accuracy in predicting ovarian cancer therapy outcomes, doubling the current standard. The AI analyzes patient-specific data, including tumor DNA and CT scans, to tailor treatment plans. IRON's success in the study heralds a new era in precise, personalized ovarian cancer care.

Link to research paper: Nature Communications
News coverage: SciTechDaily
Doctor’s mentioned:

• Evis Sala

• Mireia Crispin Ortuzar

• Giovanni Scambia

• Ramona Woitek

• Marika A. V. Reinius

• Elizabeth Moore

• Lucian Beer

• Vlad Bura

• Leonardo Rundo

• Cathal McCague

• Stephan Ursprung

• Lorena Escudero Sanchez

• Paula Martin-Gonzalez

• Florent Mouliere

• Dineika Chandrananda

• James Morris

• Teodora Goranova

• Anna M. Piskorz

• Naveena Singh

• Anju Sahdev

• Roxana Pintican

• Marta Zerunian

• Nitzan Rosenfeld

• Helen Addley

• Mercedes Jimenez-Linan

• Florian Markowetz

• James D. Brenton

Institutions mentioned: 

• Faculty of Medicine and Surgery of the Catholic University

• Advanced Radiology Center at the Policlinico Universitario A. Gemelli IRCCS

• University of Cambridge

• Policlinico Universitario Agostino Gemelli IRCCS Foundation