What Is Translational Research In Digital Pathology? /w Anant Madabhushi, Emory University&Georgia Tech - a podcast by Aleksandra Zuraw, DVM, PhD

Bringing Science into the Clinic with Prof. Anant Madabhushi

Translational research - what is it actually? How do you do it? 

I can already tell you how not to do it - halfheartedly. 

If you want to translate your scientific discoveries into something that actually benefits patients, you need to do all in! 

And this is what my guest Prof. Anant Madabhushi from the Emory University and Georgia Tech has dedicated his entire professional career to. 

He offers his insights on what it really takes to "walk your scientific talk" and work as a truly translational researcher in the space of digital pathology, radiology and medical engineering. 

Listen to an in-depth discussion about conducting high-quality science and the rigorous journey of commercializing the research and actually benefiting the patients with it.

With his vast experience and profound understanding, Prof. Madabhushi gives us an insider's view of the effort and time required to successfully take a scientific discovery from the lab to a clinical trial, and then to the market. His perspective is enriched by his role as founder of several med tech companies, co-author of numerous high impact factor scientific publications, and a mentor and teacher to the next generation of brilliant computational pathology scientists.

THIS EPISODE'S RESOURCES:

• Anant Madabhushi on LinkedIn
• 🎥 Video from Anant's email signature
• 🎙️  Podcast with Rish Pai
• 📃 Paper "Deep computational image analysis of immune cell niches reveals treatment-specific outcome associations in lung cancer"
• 📃 Paper "Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma"
• ✅ Anant's company Picture Heath

DIGITAL PATHOLOGY RESOURCES:

• Bridging the Gap between Pathology and Computer Science - FREE Online Course
• Digital Pathology Starter Kit

Keywords: digital pathology, translational research, image biomarkers, clinical practice, healthcare professionals

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