COURSES

Courses of XLI cycle

Course	Hours	ETCS	Years targeted by the course	Course description	Teachers	Mandatory	Final test
AI tools for biomedical data analysis	12	1.5	first	Advanced AI;  Biomedical Data Analysis; Graph Neural Networks (GNNs); Transformers; Multiple Instance Learning (MIL); Multimodal Learning; Genomic Data; Whole Slide Images (WSI); Cancer Research; DECIDER Framework; Personalized Medicine	Marta Lovino	No	No
Methods to decode EEG	16	2	first	Preprocessing (Filters, ASR, ICA, epoching, time-frequency), basic statistical inference on ERPs (t-test, ANOVA, TFCE) and advanced methods (UNFOLD, RIDE, lmeEEG).	Antonino Visalli	Yes	No
Biomedical Reseach principles and methodology	12	1.5	first	Literature searches in the biomedical field: PubMed vs. AI-driven searches The issue of Predatory Journals Scientific journal selection and Bibliometric profiling of authors Open science approach: from theory to practice Publishing open access at UNIMORE How to use IRIS Unimore, the open institutional archive Open data limitations for research in humans Ethics in biomedical research: basic principles, gender and race discrimination issues Performing biomedical research abroad: opportunities and caveats	Carmela Palazzi , Nicola De Bellis, Maria Chiara Bassi, Simone Cocchi, Andrea Solieri, Raffaella Ingrosso, Valentina Davighi, Veronique Fiorini, Enrica Baldelli, Erica Molinari, Vittorio Colomba, Rossana Cecchi, Johanna Blom, Corrado Confalonieri, Serena Carra, Giulia Curia, Sandra Marmiroli, Carlo Salvarani, Marco Vinceti, Giovanna Zamboni, Ferdinando di Maggio	Yes	No
Methodology and Techniques for Neurophysiological Research	16	2	first	Neurobiology, Synaptic connections and neuronal properties, fMRI, Broca areas and brain functions. MRI principles, DTI, DWI, tractography, EEG, Point Neuron models and Brain virtual Twin	Daniela Gandolfi, Fausta Lui	Yes	No
PhD Spring School –Residential course on research methodology	24	3	first	How to write a scientific paper Study design. Measures of disease frequency. Measures of association Validity and efficiency + Sources of bias and misclassification + Introduction to confounding Statistics vs Epidemiology. Time-dependent variables and the central role of rate Beware of age at diagnosis Directed acyclic graphs (DAGs) and role of variables: confounders, effect modifiers, mediators, synergistic factors, colliders Poisson, logistic, and log-binomial regression. Survival analysis and Cox model, Time-varying counfounders. G-models. Models for correlated outcomes Data analysis in biomedical research: principles and applications	Dario Consonni, Lauren A. Wise	Yes	No
Scientific English	18	2.5	first	Written and oral english practices. Scientific jargon with examples	Tamara Sassi	Yes	Yes
Scientific writing and communicating science	16	2	second	From basic principle of scientific writing to a description of all written scientific productions (posters, reviews, case report). How to interact with peers and the peer review process	Chiara Gabbi	Yes	No

All activities are mandatory for first-year doctoral students and optional for those in their second and third years.