Dragos Eugen Georgescu Editor at IgMin Research
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Biography
Dr. Dragos Eugen Georgescu is an Assistant Professor in the Department of Surgery at “Carol Davila” University of Medicine and Pharmacy, Bucharest, Romania. He obtained a Bachelor of Medicine at Faculty of Medicine - “Carol Davila” University of Medicine and Pharmacy- Medicine, Bucharest (Romania) - Licence Degree - 9.76. He earned Ph.D. in Medicine at “Carol Davila” University of Medicine and Pharmacy, Bucharest, Romania, in 2019 - Doctor in Medicine, PhD Thesis: “Management of Neoadjuvant Therapy in Rectal Cancer”, coordinator Prof. Dr. Traian Pătrașcu.
He has a National Certificate in Hepato- Biliary-Pancreatic Surgery, in General Ultrasonography, in Level II Laparoscopic Surgery - Advanced Techniques and also in Oncologic Surgery. In 2023, he finished Second Residency in Plastic and Reconstructive Surgery. Is an Active Member of SRC (Romanian Society of Surgery) since 2012 and an Editorial Board Member of Romanian Journal of Surgery - CHIRURGIA (Bucur) since 2020, this being the most prestigious surgical journal in Romania. He is also a board member of other important journal, such as Frontiers In Oncology.
Assist. Prof. Dr. Dragos Eugen Georgescu is interested in fields of research like surgical oncology, hepatobiliopancreatic surgery, gynecologic oncology, laparoscopy, diabetic food surgery or difficult cholecystectomy. His present research focuses on searching predictive factors for response to radiochemotheraphy in both rectal and cervical cancer. He is also International Grant Member - DIAMARK Project code: PN-III-P4- PCE-2021-1344, Contract number: PCE 114/2022 -“Molecular markers for prediction of evolution and prognosis in diabetic foot management”
Research Interest
Surgical Oncology, Gynecologic oncology, Laparoscopy, Hepatobiliopancreatic surgery
Editor
Work Details
Assistant Professor
Carol Davila University of Medicine and Pharmacy
Department of General Surgery
Romania
Contribution by Topic Area
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Research Articles
- LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- Technical & Economic Feasibility Study of Proposed Pump Storage Power Plants at Kuda Oya, Mul Oya, Gurugal Oya, and Dambagasthalawa
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
- The Examination of Game Skills of Children Aged 5-6 Years Participating in Movement Education
