Theory Meets Practice #5: Al for Precision Medicine
About this event
⚠️ 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). We then look at how pathology foundation models are built and what separates a good one from a fragile one — not just accuracy, but robustness to non-biological artifacts — with a short hands-on segment. Finally, we put these models to work: with Atlas H&E-TME we profile the tumor microenvironment from routine H&E slides, and you'll get hands-on with OpenTME — an open dataset of TME profiles across five cancer types from TCGA — and TME Studio to run your own analyses.
⚡ FINAL REMINDER ⚡
You MUST register and be approved on Luma to attend. The event location will only be visible after your registration is confirmed by the host. Link: https://luma.com/zzuvu98h?utm_source=meetup
We are BLISS e.V., Berlin’s AI community connecting like-minded individuals passionate about machine learning and data science. Our BLISS Workshops connect students and young professionals with industry partners, offering an inside look into how machine learning is applied in real-world settings - from research and development to deployment.
We are dida, scientific engineers who believe that reliable AI should not be a "black box". That is why we prioritize transparency, mathematics, and code over hype. By bridging the gap between theoretical research and production, we develop custom white-box AI solutions that are fully explainable, rigorously engineered, and free of "magic".
dida Website: https://dida.do
dida Youtube: https://www.youtube.com/@dida-do
BLISS Website: https://bliss.berlin
BLISS Youtube: https://www.youtube.com/@bliss.ev.berlin
Source: meetup