Who we are
Balázs Győrffy
Balázs Győrffy's research focuses on translational oncology, where bioinformatics and molecular biology are combined to improve cancer diagnosis, treatment, and patient outcomes. His work integrates large-scale genomic, transcriptomic, and clinical datasets to identify biomarkers that support precision medicine, predict therapeutic response, and uncover new pharmacological targets across multiple cancer types. By developing innovative bioinformatics platforms and analytical tools, he helps transform complex molecular data into practical resources that support researchers and clinicians in evidence-based decision-making. His research also contributes to pharmacology by accelerating drug target discovery and improving the selection of personalized therapies. Through interdisciplinary collaborations, he advances the translation of biomedical discoveries into clinical practice while supporting public health through more accurate diagnostics, data-driven treatment strategies, and improved outcomes for patients with cancer.
https://pubmed.ncbi.nlm.nih.gov/?term=Gy%C5%91rffy+B&cauthor_id=41692938
Zoltán Ungvari
Zoltán Ungvari's research focuses on understanding the biological mechanisms of aging and translating these discoveries into innovative strategies that promote healthy longevity. His work explores how vascular aging, cellular senescence, mitochondrial dysfunction, and impaired neurovascular function contribute to cardiovascular disease, cognitive decline, and other age-related conditions. By integrating translational research, pharmacology, and public health, he aims to identify novel therapeutic targets and preventive approaches that improve health across the lifespan. Through international collaborations, his research has advanced the fields of geroscience, healthy brain aging, and vascular biology, while supporting the development of precision medicine approaches that bridge laboratory discoveries with clinical practice. His work contributes to improving prevention, diagnosis, and treatment strategies for an aging population and reinforces the role of translational science in addressing major public health challenges.
https://pubmed.ncbi.nlm.nih.gov/?term=Ungvari+Z&cauthor_id=42133166
Otília Menyhárt
Otília Menyhárt's research focuses on translational cancer research, where bioinformatics, genomics, and molecular biology are combined to advance precision medicine. Her work explores how large-scale genomic and multi-omics datasets can be translated into clinically meaningful biomarkers that improve cancer diagnosis, prognosis, and treatment selection. By identifying molecular pathways and cancer hallmark signatures, she contributes to the discovery of new therapeutic targets and supports the development of more effective pharmacological interventions. Her research also helps transform complex biological data into practical tools that support clinicians and researchers in making evidence-based decisions. Through interdisciplinary collaboration, she bridges computational research with clinical oncology, strengthening the translation of scientific discoveries into patient care while contributing to public health through more personalized cancer prevention and treatment strategies.
https://pubmed.ncbi.nlm.nih.gov/?term=Menyh%C3%A1rt+O&cauthor_id=41692938
Gyöngyi Munkácsy
Gyöngyi Munkácsy's research focuses on translational oncology, with particular expertise in cancer bioinformatics, molecular biomarker discovery, and precision medicine. Her work combines genomic, transcriptomic, and clinical data to improve the understanding of cancer biology and to identify biomarkers that support earlier diagnosis, more accurate prognosis, and personalized treatment strategies. She is actively involved in research exploring the molecular characteristics of different cancer subtypes, mechanisms of drug resistance, and the identification of novel therapeutic targets that can guide the development of more effective pharmacological interventions. Through interdisciplinary collaborations, she contributes to translating complex biomedical data into clinically relevant knowledge that supports evidence-based oncology. By bridging computational biology with patient-oriented research, her work advances translational medicine while contributing to public health through more precise diagnostics, individualized therapies, and improved long-term outcomes for patients with cancer.
https://pubmed.ncbi.nlm.nih.gov/?term=Munk%C3%A1csy+G&cauthor_id=39797935
Áron Bartha
Áron Bartha's research focuses on translational oncology, where bioinformatics and large-scale genomic data analysis are applied to improve cancer research and precision medicine. His work centers on developing innovative computational tools that transform complex transcriptomic and clinical datasets into practical resources for biomarker discovery, pharmacological target identification, and personalized treatment strategies. By integrating molecular profiling with advanced data analytics, he contributes to a better understanding of cancer progression and supports the identification of clinically relevant therapeutic opportunities. His research bridges computational biology with clinical applications, helping translate genomic discoveries into evidence-based decision-making in oncology. Through interdisciplinary collaborations, he advances translational research, strengthens pharmacological research by facilitating target validation and drug discovery, and contributes to public health by supporting more accurate diagnostics and individualized cancer care.
https://pubmed.ncbi.nlm.nih.gov/?term=Bartha+%C3%81&cauthor_id=37913680
Andrea Lehoczki
Andrea Lehoczki's research focuses on translational medicine, exploring how the biological mechanisms of aging, immune regulation, and vascular health influence the development and progression of chronic diseases. Her work integrates insights from geroscience, immunology, pharmacology, and public health to better understand the complex interactions between aging, inflammation, and disease. Through interdisciplinary research, she investigates how discoveries in basic science can be translated into innovative strategies for disease prevention, early diagnosis, and personalized treatment. Her recent studies address important healthcare challenges, including the long-term consequences of COVID-19, healthy aging, and difficult-to-treat immune-mediated diseases, with the aim of improving patient outcomes and quality of life. By bridging laboratory research with clinical practice, she contributes to the development of evidence-based approaches that advance translational research and support more effective healthcare for aging populations.
https://pubmed.ncbi.nlm.nih.gov/?term=Lehoczki+A&cauthor_id=41692938