PHD's & Pints: How AI Sees Cancer

How AI Sees Cancer: From Microscope to Machine

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• New York Software & Tech Meetup Group
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What if a computer could look at a tiny piece of tissue and find patterns in cancer that the human eye might miss?

For the next PHDs & Pints, we're going inside one of the most fascinating applications of artificial intelligence: how AI is changing the way we study, detect, and understand cancer.

Join Dr. Akash Parvatikar, Director of Artificial Intelligence at Biobase and PhD in Computational Biology, for a look at the rapidly evolving world of digital pathology — where traditional microscope slides are transformed into massive digital images that can be analyzed using machine learning.

Akash has spent his career at the intersection of AI, biology, and pathology. His research has included developing explainable AI systems for challenging breast cancer diagnoses and studying why even trained pathologists can sometimes interpret the same tissue differently. Today, he works on AI-driven biological data platforms designed to help researchers make sense of increasingly complex biomedical data.

We'll explore questions like: What does AI actually "see" when it looks at cancer? Can a machine recognize patterns a doctor might miss? Why can two pathologists look at the same tissue and reach different conclusions? Could AI help make diagnoses more consistent? And where should we not trust AI with our health?

We'll also look at how scientists are teaching machines to analyze millions of cells, recognize biomarkers and turn traditional pathology slides into entirely new sources of data — while confronting a critical problem: if an AI reaches a conclusion, doctors need to understand why.

No biology degree. No coding experience. No academic background required.

Just a fascinating look at what happens when the microscope meets the machine.

October 6 | 6:30 PM
Sour Mouse NYC — 110 Delancey St, Lower East Side

🍻 Drinks • Games • Live Discussion

PHDs & Pints — Where academia meets nightlife.