A reminder that no one knows what they're doing in deep learning and why things work and that the best we can do is pray for our models to perform 🤣

Implementation of organized low-dose CT screening in over 4,000 individuals with high risk for lung cancer as part of the Ontario lung cancer screening pilot program reported high cancer detection rates, early detection of cancer and low serious harms
nature.com/articles/s4159…

Today is the birthday (and death day) of William Shakespeare. This short thread serves as a reflection on the passage of time, love, beauty, mortality and the meaning of life 🧵

1. Dame Judi Dench, Sonnet 29

Are you interested in working at the interface of machine learning and pathology? Consider joining Drew FK Williamson's lab at Emory.

Nice story on our recent Veterans Affairs grant on use of #AI for predicting outcome in head & neck cancers. Multi-institutional collaborative leveraging #digitalpathology & #Radiomics with Vlad Sandulache and others.
research.va.gov/currents/0424-…

reedsy.com/navah-wolfe

reedsy.com/navah-wolfe

Cleveland Clinic MD mini reunion Miami Cancer Institute Research
#Precision Oncology Symposium org by
Manmeet Ahluwalia, MD, MBA, FASCO
Great to meet Vamsi Velcheti, MD MBA in person. Amazing outline of precision-immuno oncology in lung ca & AI based approaches for response prediction Anant Madabhushi Petros Grivas Rohan Garje, MD

⭐️Yes! The future IS now! “AI at the Interface: Accelerating Evidence Generation, Advancing Disparities Research, and Improving Trial Design” — Read a recap of this #AACR24 plenary session in AACR Annual Meeting News: bit.ly/4aROQ8q
Anant Madabhushi Thomas Clozel Mia Levy, MD, PhD…

National Cancer Institute’s Cancer Imaging Program will be featuring ways to use affordable, interpretable, and equitable #AI in clinical practice. Hear from Anant Madabhushi to learn how you can apply AI to pathology images and radiologic scans in #PrecisionOncology . datascience.cancer.gov/news-events/ev…

AI at the Interface: Accelerating Evidence Generation, Advancing Disparities Research, and Improving Trial Design — Read a recap of this #AACR24 plenary session in AACR Annual Meeting News: bit.ly/4aROQ8q Vivek Subbiah, MD Anant Madabhushi Thomas Clozel Mia Levy, MD, PhD

Nice coverage from AACR news regarding the AI plenary session at the annual meeting. Was honored to have been able to present our work on #AI for precision oncology, disparity & global health at the meeting.
aacrmeetingnews.org/news/plenary-s…

Don’t miss the next National Cancer Institute Cancer Imaging Program webinar on May 6! Anant Madabhushi will be discussing pioneering clinical uses for #AI in precision oncology. datascience.cancer.gov/news-events/ev…

#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