Theory Meets Practice #5: Al for Precision Medicine

⚠️ IMPORTANT: REGISTRATION MANDATORY ⚠️

Registration on Luma is REQUIRED to attend this event. Link: https://luma.com/zzuvu98h?utm_source=meetup
Your registration is subject to host approval. You must complete the registration process on lu.ma to receive the full event location details and confirmation of your attendance.
Please note: Without approved registration on Luma, you will NOT be able to access the event location or attend.

We are excited to host a BLISS x dida workshop featuring Lukas Ruff (VP of Data Science @ Aignostics) together with his colleagues (Christina Embacher, Jonas Dippel, and Maaike Galama), who will guide us through an interactive session on AI for Precision Medicine.
​Title: Al for Precision Medicine: From Foundation Models to Tumor Tissue Profiling in Computational Pathology
📅 Date: 24.06.2026
🕕 Time: 18:00
📍 Location: TU Berlin Marchstrasse 23 [Room 0.011]

​The session will last around 2 hours, followed by a networking session with dida and fellow AI enthusiasts (and free pizza!🍕). Bring your laptop!

​The session will last around 2 hours, followed by a networking session with dida and fellow AI enthusiasts (and free pizza!🍕). Bring your laptop!

​Abstract: Nearly every cancer diagnosis still begins with a pathologist examining a stained tissue slide under a microscope. Digital pathology turns those slides into gigapixel images — and with them, a uniquely demanding frontier for machine learning. But getting from raw pixels to clinically meaningful, quantitative insight about a tumor and its microenvironment is far from trivial.
​In this workshop, Aignostics — a computational pathology company and Charité spin-off — walks you along the arc from core ML research to real-world application. We start with an overview of digital pathology and what makes it challenging for ML (gigapixel images, scarce labels, scanner and staining variability).