PHDs & Pints: How AI Sees Cancer

PHDs & Pints: How AI Sees Cancer

Tuesday, October 6, 2026 · 6:30 PM EDT · Moxy NYC Chelsea · New York, NY

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About this event

​Join us in meeting at Sour Mouse's evening lecture series, PHDs and Pints! We'll meet up a little beforehand to hang out, chat, and socialize a bit before the lecture. Join the **[Whatsapp chat](https://waprotect.com/b4SxaaAB?utm_source=luma)** to make sure you find our group. ​This is not a dry academic talk. Expect storytelling, humor, surprising insights, and plenty of “wait… that’s actually true” moments. ​**How AI Sees Cancer: From Microscope to Machine** ​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…

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