Speakers 2026

Jacqueline Lammert

Attending Physician, Clinician Scientist, Research Group Lead AI for Women's Health at Technical University of Munich

Website

Dr. med. Jacqueline Lammert is a Clinician Scientist and Attending Physician (Oberärztin) for Gynecological Precision Oncology at the Technical University of Munich (TUM) University Hospital, holding a dual appointment at the Clinical Department of Gynecology and the Institute for AI and Informatics in Medicine. Dr. Lammert leads the AI for Women's Health research group, dedicated to overcoming disparities in female health research and care. She combines AI and precision medicine to develop AI-enhanced systems that analyze complex biomedical data and support data-driven decisions in gynecologic precision oncology. Clinically, she specializes in gynecologic tumor genetics and personalized therapies for rare and advanced gynecologic cancers. Dr. Lammert followed an accelerated academic track, completing a B.Sc. in Psychology at LMU Munich at age 19 before graduating from medical school in 2019 and earning her board certification as a specialist in gynecology and obstetrics in January 2026. For her visionary research at the intersection of clinical care and key technologies, she was awarded the prestigious Bavarian High-Tech Young Talent Award (Hightech-Nachwuchspreis Bayern) in 2025. A member of the Junges Kolleg at the Bavarian Academy of Sciences and Humanities (BAdW), she is a strong advocate for Open Science, committed to developing open-source software and FAIR-compliant research artifacts to advance women's health.

Sessions (1)

14:0014:50
Fri 3 Jul
Theater Stage

Personalized Oncology: Kunst, KI, Klinik – und die Frage nach Bedeutung

Medizinische Bilder sind keine neutralen Abbilder, sondern Entscheidungen im Entstehen. Zwischen Mikroskop, Algorithmus und Atelier treffen unterschiedliche Formen des Sehens aufeinander: klinische Praxis, KI-gestützte Diagnostik und künstlerische Forschung. Diese Session bringt …

Medicine of the Future (WSJ26)
Powered by