Im Rahmen der curAMeet Konferenz wurde die Doktorandin Nadja Paeslack für ihre Forschung zum Thema “Sex-dependent differences in Ldlr-deficient mice in in vivo platelet adhesion” mit dem diesjährigen curATime Award ausgezeichnet. Mit einem Vortrag zu ihrer Forschung unterstütze sie das wichtige Thema, in der Forschung auch auf die Unterschiede von Geschlechtern zu achten.
curATime wurde für die zweite Förderphase ausgewählt und erhält für die kommenden drei Jahre 15 Millionen Euro Unterstützung durch das BMFTR. Die Projekte werden durch zusätzliche 6 Millionen Euro Eigenmittel der beteiligten Partner unterstützt.
Graphische Darstellung: Tatsiana Trynkun
Together with the Clusters4Future PROXIDRUGS and CNATM, we co-organize the premier conference on Translational Medicine focused on proxidrugs, nucleic acid-based strategies and cell therapies.
13th-16th April 2026, Frankfurt am Main, Steigenberger Hotel Bad Homburg
Registration deadline: 16th January 2026
We are delighted to invite you to our upcoming {Bio-} Hackathon 2026 – two full days of tackling exciting biotech challenges in teams!
The hackathon is specifically aimed at young career researchers, including PhD, Master, and Bachelor students but of course, everyone who is interested, can join, too.
AI in cardiovascular genomics
21.01.2026, 17 - 18 Uhr
Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Zentrum München
Das Seminar findet vor-Ort, auf dem Campus der Universitätsmedizin Mainz, Hörsaal 401, statt.
TFmed 2026 features a dynamic, transdisciplinary four-day program focused on proxidrugs (e.g., PROTACs and molecular glues), nucleic acid-based strategies (mRNA and antisense technologies), and cell therapies, with applications across cardiology, diabetes, ageing, inflammation, infection, cancer and neurodegeneration.
Registration is open until 16th January.
We are delighted to invite you to our upcoming (Bio-)Hackathon curAHack 2025 – two full days of tackling exciting biotech challenges in teams!
The hackathon is specifically aimed at young career researchers, including PhD, Master, and Bachelor students but of course, everyone who is interested, can join, too.
You can choose from 5 different challenges and sign-up using the link below.
Date & Time: 23 March, 09:30 CET – 24 March, 17:00 CET
Location: German Research Center for Artificial Intelligence (DFKI), Trippstadter Str. 122, 67663 Kaiserslautern
Register and select your preferred challenges:
Important: Participation is first come, first served. Registration deadline is March 1st 2026.
Challenge 1 – Smarter Cell Cycle (UMC Mainz)
Develop an integrated model using single-cell RNA and chromatin data to more accurately resolve all cell-cycle phases, including challenging G0/G1 states.
Challenge 2 – Hack AlphaFold (TRON)
Identify targeted mutations that cause AlphaFold to mispredict molecular structures and contribute to improving model robustness for immunologically relevant targets.
Challenge 3 – Rethinking Ultrasound (DFKI)
Build a point-driven AI system that segments cardiac and vascular structures in ultrasound images, reducing manual annotation efforts while preserving clinical performance.
Challenge 4 – Hidden Paths in Single-Cell Data (DFKI)
Use machine learning to reconstruct complex cellular developmental trajectories from scRNA-seq data, uncovering branches, transitions, and dynamic states overlooked by classical methods.
Challenge 5 – Microbiome-Based CVD Prediction (DFKI)
Develop a machine learning model that predicts individual cardiovascular risk from 16S microbiome data, leveraging microbial networks and functional patterns.
Die Veranstaltung bietet interaktive Workshops, Networking-Möglichkeiten und Einblicke in vielfältige Karrierewege in Wissenschaft, Industrie und darüber hinaus. Weitere Informationen folgen in Kürze.
Innovationen in der kardiovaskulären Forschung, KI-gestützte Biomarkerentwicklung und translationale Ansätze.
