Full Professor of Applied Physics, Scientific Coordinator APNS
Her research interests include functionalization and use of nanodrops and nanobubbles for
theranostic applications in medicine; fluid dynamics in biology, applied to coronary and fetoplacental hemodynamics; medical applications of ultrasound, in particular Doppler ultrasound, imaging, and contrast agents; oncological hyperthermia; tumor growth models, in particular universal laws, scaling phenomena and study of the fractal dimensions of the microcirculation. He participated in the international collaboration cVit (Center for the
Development of a Virtual Tumor) promoted by MIT & Harvard University and funded by the US NIH
Associate Professor in Applied Physics
He deals with Neuroimaging and Imaging Genetics. The research activity is based on the
characterization of features extracted from multimodal MRI images (anatomical and functional) to study their trajectories over time and their associations with genetic information. By exploiting Big (NeuroImaging) Data Dr. Pizzagalli develops Machine Learning methods for the prediction of diagnoses such as Alzheimer's and Parkinson's. In this context, he develops both data analysis
methods for the harmonization of multi-site and multi-modal databases and statistical methods for the estimation of the reproducibility of the results
Associate Professor in Applied Physics
His research starts with the study of cognitive functions in the field of Behavioural sychology; then, he used instrumental techniques, in particular MRI and PET, to study the anatomical substrate, both in patients and healthy subjects, and finally he used non-invasive brain stimulation techniques (tACS and TDCS) for rehabilitation purposes. In parallel, he has completed his training on advanced programming and control of commercial MRI spectrometers (GyroTools Pulse Programming and Data Handling). Recently, the use of magnetic fields in medicine is the area in which Dr. D'Agata has focused most, within Applied Physics under the guidance of Prof. Guiot. In particular, he has conducted research on nanoparticles capable of interacting with iron in biological tissues
Lecturer in Applied Physics
Graduated in Mathematics and with a Ph.D. in Complex Systems for Life Sciences, she is interested in the application of mathematical models and techniques to Medicine and Biology. Her two preferred fields of research are the creation of ODE systems for the modeling of biological systems and the construction of clinical trial protocols with related statistical and modeling analysis. She actively collaborates with research groups of San Luigi di Orbassano, Molinette, Regina Margherita, CTO and Sant'Anna Hospitals of Turin. The main project, in the 'green' field, is the study and modeling of the anti-bacteriological and sterilizing capacity of curcumin nanobubbles applied to fruit and cell cultures.
Bioinformatics Research Technician, Data Stewart
Research Technician with multidisciplinary skills. Graduated in Computer Science, she has worked in Data Administration, Methodological Support, and Functional Analysis. She carried out research activities on Watermarking Techniques in multimedia and medical fields at IEIIT-CNR and at the Computer Science Department of the University of Turin. Later she specialized in the analysis of data coming from the main Open and FAIR medical and biological databases available online. She continued her activity focusing on the analysis of human proteins for the research of new epigenetic mechanisms of expression. She then obtained a degree in Body and Mind Sciences. She is currently working at the Department of Neuroscience of the University of Torino where she is in charge of data analysis and support for the creation of FAIR data while continuing the activities of protein analysis in the medical and neuroscience fields
Research fellow
With a solid background in the field of neuroscience, acquired through the study of cellular and animal models of neurodegenerative disease, she has expanded her scientific interests to include the field of Neuroimaging. Her research integrates expertise on neurodegenerative disease, particularly Alzheimer's and Parkinson's, with Big Data analysis, aiming to identify new biomarkers for early diagnosis for these pathologies. Specifically, it focuses on analyzing iron cocentration in the brain using MRI and PET.
Ph.D. student in Complex System for Quantitative Biomedicine 37th cycle
Biomedical Engineer currently pursuing a Ph.D. in Complex Systems for Quantitative Biomedicine. Her research focuses on the analysis and processing of biomedical data, spanning both experimental and computational domains. Specifically, she concentrates on cerebral haemodynamics and Brain-Computer interfaces. Additionaly, she actively contributes to teaching Physics in the Health Professions degree programs.
Alumni APNS
Her multidisciplinary scientific interests involve the integration of physics, data science, biology, and medicine. Her research work is mainly focused on biomedical data processing and modeling, in particular exploiting both computational and experimental approaches. She is currently a teaching assistant for the teaching of Physics in the degree courses of Health Professions
Alumni APNS
She received her BSc in Biochemistry and MSc in biological sciences in Pakistan. Currently, as an international Ph.D. student at the University of Turin, she is working to generate Noval nanobubbles with the properties of Reactive Oxygen Species to inhibit bacterial and fungal growth for the purpose of food preservation. The aim of his research is to investigate the antibacterial properties of nanobubbles. Antibiotic resistance is one of the most important health concerns, so such an approach could be useful to prevent the overuse of antibiotics. Moreover, this approach is totally based on biocompatible and biodegradable materials and is fully compliant with the green
food requirements promoted within the Next Generation EU platform
Alumni APNS
Researcher expert in the design of experiments from a methodological, technical, and statistical point of view. He has carried out educational and scientific communication projects with tens of thousands of students. He has always taken care of the methodological-statistical aspect both for himself and for his working groups, developing his skills also through a second degree in Statistics. He has been Coordinator of European Projects related to food and sustainability, strong of a specialization course in sustainable systems and work experience in the field with NGOs
Alumni APNS
An enthusiastic and skilled researcher working at the chemistry-pharmaceutical biology interface, he has expertise spanning medicinal chemistry, polymer design, synthesis and optimization, nanoparticle development, drug delivery development, toxicology, biological sample handling, and cell biology. Focusing on nanomedicine, he is aiming to develop new technologies and materials for life-enhancing drug delivery. Particularly interested in the development process to bring them to market