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Jacqueline Lammert

7 papers hereh-index 10461 citations40 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.CL3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedLarge Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors

25 citations · 58 across the 7 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2024★ 25 cited

Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors

Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin +16

Rare gynecological tumors (RGTs) present major clinical challenges due to their low incidence and heterogeneity. The lack of clear guidelines leads to suboptimal management and poo…

cs.CL2024★ 8 cited

Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data

Felix J. Dorfner, Amin Dada, Felix Busch +8

Large language models (LLMs) have shown potential in biomedical applications, leading to efforts to fine-tune them on domain-specific data. However, the effectiveness of this appro…

cs.CL2024★ 13 cited

End-To-End Clinical Trial Matching with Large Language Models

Dyke Ferber, Lars Hilgers, Isabella C. Wiest +13

Matching cancer patients to clinical trials is essential for advancing treatment and patient care. However, the inconsistent format of medical free text documents and complex trial…

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