Cristina Drugan

Prof. Dr. Cristina Drugan

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 August 2002 in European Journal of Human Genetics
Verified
Journal Article
Closed access
CDCristina Drugan
Cristina Drugan
LPLucia Procopciuc
Lucia Procopciuc
GJGheorghe Jebeleanu
Gheorghe Jebeleanu
PGPaula Grigorescu-Sido
Paula Grigorescu-Sido
JDJane Dussau
Jane Dussau
CCCatherine Caillaud
Catherine Caillaud

1 January 2002 in Blood Cells, Molecules, and Diseases
Verified
Journal Article
Closed access
CDCristina Drugan
Cristina Drugan
GJGheorghe Jebeleanu
Gheorghe Jebeleanu
PGPaula Grigorescu-Sido
Paula Grigorescu-Sido
CCCatherine Caillaud
Catherine Caillaud
ACAlexandra Craciun
Alexandra Craciun

8 September 2003 in Gene Therapy
Verified
Journal Article
Closed access
CBC Bourgoin
C Bourgoin
Carla EmilianiCarla Emiliani
Carla Emiliani
EKE J Kremer
E J Kremer
AGA Gelot
A Gelot
BTBrunella Tancini
Brunella Tancini
CCC Caillaud
C Caillaud

29 June 2025 in Diagnostics
Verified
Journal Article
Open access
PDF file
AUAndrada Urda-Cimpean
Andrada Urda-Cimpean
DLDaniel Corneliu Leucuta
Daniel Corneliu Leucuta
CDCristina Drugan
Cristina Drugan
ADALINA GABRIELA DUTU
ALINA GABRIELA DUTU
TCTudor Călinici
Tudor Călinici
Tudor DruganTudor Drugan
Tudor Drugan
Background: In recent years, numerous artificial intelligence applications, especially generative large language models, have evolved in the medical field. This study conducted a structured comparative analysis of four leading generative large language models (LLMs)—ChatGPT-4o (OpenAI), Grok-3 (xAI), Gemini-2.0 Flash (Google), and DeepSeek-V3 (DeepSeek)—to evaluate their diagnostic performance in clinical case scenarios. Methods: We assessed medical knowledge recall and clinical reasoning capabilities through staged, progressively complex cases, with responses graded by expert raters using a 0–5 scale. Results: All models performed better on knowledge-based questions than on reasoning tasks, highlighting the ongoing limitations in contextual diagnostic synthesis. Overall, DeepSeek outperformed the other models, achieving significantly higher scores across all evaluation dimensions (p < 0.05), particularly in regards to medical reasoning tasks. Conclusions: While these findings support the feasibility of using LLMs for medical training and decision support, the study emphasizes the need for improved interpretability, prompt optimization, and rigorous benchmarking to ensure clinical reliability. This structured, comparative approach contributes to ongoing efforts to establish standardized evaluation frameworks for integrating LLMs into diagnostic workflows.

20 August 2007 in Journal of Inherited Metabolic Disease
Verified
Journal Article
Closed access
PDF file
PSP. Grigorescu Sido
P. Grigorescu Sido
CDCristina Drugan
Cristina Drugan
VCV. Cret
V. Cret
CAC. Al‐Kzouz
C. Al‐Kzouz
CDC. Denes
C. Denes
AZA. Zimmermann
A. Zimmermann

15 July 2016 in Central European Journal of Immunology
Verified
Journal Article
Open access
AMAndrei M. Malutan
Andrei M. Malutan
CDCristina Drugan
Cristina Drugan
Tudor DruganTudor Drugan
Tudor Drugan
RCRazvan Ciortea
Razvan Ciortea
DMDan Mihu
Dan Mihu
Aim of the study was to investigate interleukin (IL)-4 serum levels in patients with advanced endometriosis and whether IL-4 promoter region (-590C/T) genetic polymorphism is involved in genetic susceptibility to endometriosis. Material and methods: IL-4 serum levels and IL-4 -590C/T genetic polymorphism were determined for 80 patients with advanced endometriosis and 85 healthy fertile women using a multiplex cytokine kit, with a Luminex 200 system; high molecular weight genomic DNA was extracted from peripheral blood leukocytes, and further analyzed by PCR amplification and restriction fragment length polymorphism (PCR-PFLP). The relationship between IL-4 serum levels, genotypes and haplotypes and the presence of endometriosis was explored. Results: Interleukin 4 serum levels were significantly higher in the endometriosis group compared to controls (138,459 compared to 84,710, p < 0.001). No significant difference was observed in IL-4 serum levels between genotypes. There were no differences in IL-4 -590C/T genotypes and allele frequencies between control women and patients with endometriosis (χ2 = 0.496, and χ2 = 0.928, OR = 1.3636, CI: 0.725-2.564). Conclusions: The results suggest that in patients with advanced stages of endometriosis there is a higher serum level of IL-4, and that this value, or the presence of the disease, is not influenced by the presence of IL-4 -590C/T genetic polymorphism.