Academic Career and Research Areas
Since 2020, Dr. Jacqueline Lammert has been a resident in the Clinical Department of Gynecology and became a Clinician Scientist in 2024. She completed a bachelor's degree in psychology at LMU Munich at age 19, followed by medical studies at FAU Erlangen-Nuremberg and TUM, graduating in 2019. Her doctoral research on risk modifiers for breast cancer and cardiovascular disease among BRCA1 and BRCA2 mutation carriers involved international research fellowships in Toronto and Melbourne and was recognized with nine awards. In 2025, she joined the Scientific Advisory Board for Digital Transformation at AOK Nordost.
Dr. Lammert (*1993) 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.
Awards
- Hightech Young Investigator Award Bavaria 2025 (2025)
- Association for Molecular Pathology Europe Young Investigator Award (2024)
- Google's Gemma Academic Program Award (2024)
- TUM School of Medicine and Health Clinician Scientist Main Program (2024-2025)
- Teaching Award "PJ Mentor 2022 for Exceptional Dedication to Teaching at the Faculty of Medicine" (2023)
Key Publications (all publications)
Ferber, D., El Nahhas, O. S. M., Wölflein, G., Wiest, I. C., Clusmann, J., Leßmann, M. E., Foersch, S., Lammert, J., Tschochohei, M., Jäger, D., Salto-Tellez, M., Schultz, N., Truhn, D., & Kather, J. N. (2025). Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology. Nature cancer, 10.1038/s43018-025-00991-6. Advance online publication.
AbstractLammert, J., Pfarr, N., Kuligin, L., Mathes, S., Dreyer, T., Modersohn, L., Metzger, P., Ferber, D., Kather, J. N., Truhn, D., Adams, L. C., Bressem, K. K., Lange, S., Schwamborn, K., Boeker, M., Kiechle, M., Schatz, U. A., Bronger, H., & Tschochohei, M. Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors. arXiv:2409.00544 (2024). Accepted at npj Digital Medicine (Special collection: Digital twins for precision health).
AbstractLammert, J., Dreyer, T., Mathes, S., Kuligin, L., Borm, K. J., Schatz, U. A., Kiechle, M., Lörsch, A. M., Jung, J., Lange, S., Pfarr, N., Durner, A., Schwamborn, K., Winter, C., Ferber, D., Kather, J. N., Mogler, C., Illert, A. L., & Tschochohei, M. (2024). Expert-Guided Large Language Models for Clinical Decision Support in Precision Oncology. JCO precision oncology, 8, e2400478.
AbstractLammert, J., Basrai, M., Struck, J., Hartmann, O., Engel, C., Bischoff, S. C., Berling-Ernst, A., Halle, M., Kiechle, M., & Grill, S. (2022). Associations of Plasma Bioactive Adrenomedullin Levels with Cardiovascular Risk Factors in BRCA1/2 Mutation Carriers. Geburtshilfe und Frauenheilkunde, 82(6), 601–609.
AbstractLammert, J., Lubinski, J., Gronwald, J., Huzarski, T., Armel, S., Eisen, A., Meschino, W. S., Lynch, H. T., Snyder, C., Eng, C., Olopade, O. I., Ginsburg, O., Foulkes, W. D., Elser, C., Cohen, S. A., Kiechle, M., Narod, S. A., & Kotsopoulos, J. (2018). Physical activity during adolescence and young adulthood and the risk of breast cancer in BRCA1 and BRCA2 mutation carriers. Breast cancer research and treatment, 169(3), 561–571.
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