#OpenAccess in Nature Medicine
Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning
nature.com/articles/s4159…
Fantastic study that uses tens of thousands of cytology cases for training & test sets for assessing CUP patients.

Thrilled to report our latest paper 'An Integrated Radiology-Pathology Machine Learning Classifier for Outcome Prediction Following Radical Prostatectomy: Preliminary Findings' Heliyon. Work led by Amogh Hiremath now PictureHealth.
Full paper: sciencedirect.com/science/articl…

📍Such a delight to Chair the Plenary session at AACR #AACR24 last week
✅AI at the Interface: Accelerating Evidence Generation, Advancing Disparities Research, & Improving Trial Design
✅Thanks to AACR scientific meeting team for the vision for this session on AI.
Thanks to…

Thrilled to report new $4.6M, 4-year Veterans Affairs grant 'Imaging AI-driven predictive chemoradiation response tool for Veterans with oropharyngeal cancer' with Dr Vlad Sandulache. Looking to impact Vets with H&N cancer via #Radiomic and #Pathomic approaches.

Thrilled and honored to have received funding from the Scott R Mackenzie foundation for our project 'OvaRiSc: A digital pathology AI approach for predicting Effectiveness of Platinum-based combination chemotherapy'.
scottrmackenziefoundation.com

Awesome work to all who presented at the Emory Research Retreat. Learned about new breakthroughs in AI being utilized for urologic cancer diagnosis, prognosis, and treatment and the role of the human microbiome in cancer among other topics
#emory #urology #research

Fantastic talk on AI and GU cancer by Anant Madabhushi presenting an exciting outlook to how we diagnose and manage Gu cancer, future is bright!! Emory Urologic Oncology Emory School of Medicine Emory Urology

Christine Lovly, MD, PhD Anant Madabhushi AACR ECOG-ACRIN Cancer Research Group Cool insights from Anant Madabhushi's study on the relationship between blood vessel tortuosity and tumor volume changes. Radiomics opens up new avenues in understanding drug response and resistance, leveraging existing data in innovative ways. A brilliant example of how advanced…

Generative #AI for medical images: incorporating synthetic images in diffusion models improved fairness, accuracy for underrepresented people
nature.com/articles/s4159…
Nature Medicine Ira Ktena Sven Gowal Alan Karthikesalingam Google DeepMind

.Vivek Subbiah, MD chaired the Plenary Session on 'AI at the Interface: Accelerating Evidence Generation, Advancing Disparities Research, and Improving Trial Design' this morning at #AACR24 .

This is the coolest! Anant Madabhushi studies showing changes in blood vessel tortuosity a/w change in tumor volume. Radiomics fo learn more about drug response/resistance with data already in hand. If you missed it - you can view Anant Madabhushi presentation virtually! AACR ECOG-ACRIN Cancer Research Group #AACR24

Fantastic lecture by Anant Madabhushi at #AACR24 - this slide shows the great need for more #pathologists across the world 🌎. AACR

Really great talk from Anant Madabhushi of Emory School of Medicine at #AACR24 - on the use of AI for affordable and equitable precision medicine. By developing cloud-based AI that can analyse images of pathological slides (he works on breast cancer), you can in theory open up cheap and quick…

At the #AACR24 plenary session, Anant Madabhushi, PhD, (Anant Madabhushi) of Winship Cancer Institute of Emory University discussed integrating #AI , radiology and pathology for affordable and equitable precision medicine.

Key considerations:

🌎 Access - Will the underlying data for #AI be available globally?

🌍…

📍Today is the day ‼️
📍Honored & thrilled to Chair the Plenary session at AACR #AACR24
✅Plenary: AI at the Interface: Accelerating Evidence Generation, Advancing Disparities Research, & Improving Trial Design
✅If you're at #AACR24 , don't miss it.
👉A rockstar panel of…

⭐️Calling all AACR attendees! Don't miss tomorrow morning's futuristic PLENARY session at #AACR24 :
👉🏼 'AI at the Interface: Accelerating Evidence Generation, Advancing Disparities Research, and Improving Trial Design'.
👉🏼Honored to Chair this session on #AI . Join us for a…

AI at the Interface: Accelerating Evidence Generation, Advancing Disparities Research, Improving Trial Design—Vivek Subbiah, MD chairs this #AACR24 plenary (Wed 4/10), featuring Maryellen Giger, Anant Madabhushi, Mia Levy, MD, PhD, & Thomas Clozel. bit.ly/43Vlfc2 Anant Madabhushi Thomas Clozel

James Dahlman & Gabe Kwong, associate professors, Wallace H. Coulter Dept of Biomedical Engineering at GA Tech & Emory University Coulter BME | Emory & Georgia Tech, have been elected to the American Institute for Medical & Biological Engineering @AIMBE College of Fellows ➡️ brnw.ch/21wIxHt

Can Artificial Intelligence Predict Treatment Response and Outcomes in Breast Cancer? ascopost.com/news/april-202… #bcsm #breastcancer #AI #oncology

Thanks to Caroline Helwick for a fabulous summary of the recent talk I gave at Daniel A. Osman, MD on our work use of #AI to Predict Treatment Response and Outcomes in Breast Cancer. Story in the The ASCO Post here.
ascopost.com/news/april-202…