| A Vector Theory of Assessing Clinical Trials: An Application to Bioequivalence VD Karalis Journal of Cardiovascular Development and Disease 11 (7), 185, 2024 | | 2024 |
| Preservative contact allergy in occupational dermatitis: a machine learning analysis A Kyritsi, A Tagka, A Stratigos, V Karalis Archives of Dermatological Research 316 (7), 372, 2024 | | 2024 |
| Implementation of a Generative AI Algorithm for Virtually Increasing the Sample Size of Clinical Studies A Nikolopoulos, VD Karalis Applied Sciences 14 (11), 4570, 2024 | | 2024 |
| Thermoresponsive Hydrogels: Current Status and Future Perspectives A Karnaki, A Siamidi, V Karalis, N Lagopati, N Pippa, M Vlachou IntechOpen, 2024 | | 2024 |
| Machine Learning in Allergic Contact Dermatitis: Identifying (Dis) similarities between Polysensitized and Monosensitized Patients A Kyritsi, A Tagka, A Stratigos, VD Karalis BioMedInformatics 4 (2), 1348-1362, 2024 | | 2024 |
| Introducing an Artificial Neural Network for Virtually Increasing the Sample Size of Bioequivalence Studies D Papadopoulos, VD Karalis Applied Sciences 14 (7), 2970, 2024 | 2 | 2024 |
| Contact allergy caused by acrylates in nail cosmetics: A pilot study from Greece M Gkousiaki, VD Karalis, A Kyritsi, C Almpani, S Geronikolou, A Stratigos, ... Contact Dermatitis 90 (3), 273-279, 2024 | 1 | 2024 |
| Bioequivalence Studies of Highly Variable Drugs: An Old Problem Addressed by Artificial Neural Networks D Papadopoulos, G Karali, VD Karalis Applied Sciences 14 (12), 5279, 2024 | | 2024 |
| The integration of artificial intelligence into clinical practice VD Karalis Applied Biosciences 3 (1), 14-44, 2024 | 13 | 2024 |
| Artificial intelligence in drug discovery and clinical practice VD Karalis From Current to Future Trends in Pharmaceutical Technology, 215-255, 2024 | | 2024 |
| Dried blood spots in neonatal studies: A computational analysis for the role of the hematocrit effect C Daousani, V Karalis, YL Loukas, KH Schulpis, K Alexiou, Y Dotsikas Pharmaceuticals 16 (8), 1126, 2023 | 3 | 2023 |
| Variational autoencoders for data augmentation in clinical studies D Papadopoulos, VD Karalis Applied Sciences 13 (15), 8793, 2023 | 13 | 2023 |
| Joint use of population pharmacokinetics and machine learning for optimizing antiepileptic treatment in pediatric population I Damnjanović, N Tsyplakova, N Stefanović, T Tošić, A Catić-Đorđević, ... Therapeutic Advances in Drug Safety 14, 20420986231181337, 2023 | 5 | 2023 |
| Analysis of Polysensitization and Monosensitization using Classic and Machine Learning Techniques A Kyritsi, A Tagka, A Stratigos, V Karalis Free Radical Biology and Medicine 201, 49-50, 2023 | | 2023 |
| An In Silico Approach toward the Appropriate Absorption Rate Metric in Bioequivalence VD Karalis Pharmaceuticals 16 (5), 725, 2023 | 3 | 2023 |
| Ropivacaine pharmacokinetics in the arterial and venous pools after ultrasound-guided continuous thoracic paravertebral nerve block P Matsota, V Karalis, T Saranteas, F Kiospe, SL Markantonis Journal of Anaesthesiology Clinical Pharmacology, 2023 | | 2023 |
| Modeling the double peak phenomenon in drug absorption kinetics: the case of amisulpride R Kousovista, G Karali, V Karalis BioMedInformatics 3 (1), 177-192, 2023 | 1 | 2023 |
| COVID-19 BNT162b2 mRNA vaccine for patients with type 2 diabetes mellitus SA Paschou, V Karalis, T Psaltopoulou, I Charitaki, AD Sklirou, ... Hormones 22 (1), 17-18, 2023 | 1 | 2023 |
| Patients with type 2 diabetes mellitus present similar immunological response to COVID-19 BNT162b2 mRNA vaccine to healthy subjects: a prospective cohort study SA Paschou, V Karalis, T Psaltopoulou, I Charitaki, AD Sklirou, ... Hormones 22 (1), 5-11, 2023 | 5 | 2023 |
| On the Interplay between Machine Learning, Population Pharmacokinetics, and Bioequivalence to Introduce Average Slope as a New Measure for Absorption Rate VD Karalis Applied Sciences 13 (4), 2257, 2023 | 4 | 2023 |
