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Research Topics

Projects at the Sano Center are implemented thanks to funding obtained through grants such as:

the European Union’s Horizon 2020 research and innovation programme under grant agreement Sano No 857533,
the International Research Agendas programme of the Foundation for Polish Science, co-financed by the European Union under the European Regional Development Fund, the European Union’s Horizon 2020 research and innovation programme under grant agreement ISW No 101016503,
the European Union’s Horizon Europe research and innovation programme under grant agreement NEARDATA No 101092644,
the undertaking of the Polish Minister of Science and Higher Education "Support for the activities of Centers of Excellence established under Horizon 2020".

Effect of blindness on macroscale functional brain organization

To understand how blindness affects the structural-functional organization

Relationship between eye movements and resting-state brain connectivity in congenitally blind people

To understand how or if spontaneous eye movements in blind people are related to brain activity at whole-brain and network levels

Multimodal Neuroimaging: EEG and fNIRS

In recent years, the integration of neuroimaging techniques, particularly the combination of EEG (Electroencephalography) and fNIRS (functional N...

A Machine Learning Benchmark for Effective Connectivity Network Derivation

The project introduces a novel benchmark for assessing methods that derive effective connectivity networks from brain imaging data. By employing ...

Brain tumor surgical planning and prediction & AR for neuroimaging

Define a workflow to visualize connectome analysis and machine learning predicted outcome of surgery

Effect of Stroke on Brain Connectivity

To understand how ischemic stroke affects the brain function depending on its location and size, and possible delays due to MRI acquisition scan.

Brain time series classification for PTSD and other disorders

This study seeks to investigate neural abnormalities in individuals with PTSD, schizophrenia, epilepsy, and autism, utilizing machine learning an...

Brain tumor classification and image translation

Gliomas, aggressive, highly heterogeneous brain tumors, require precise grading for effective treatment. The role of myeloid cells in the tumor m...

Brain tumor surgical planning and prediction

Our research focuses on using AI to improve brain tumor surgeries. By predicting the brain's connectome, AI helps plan surgeries more accurately,...

SaNDA A small and incomplete dataset analyser

CACTUS: a Comprehensive Abstraction and Classification Tool for Uncovering Structures

Health in your pocket

Building a Machine Mind by Integrating Explicit and Tacit Knowledge for personalised medicine

Data abstractions as the foundation of machine self-learning from different data sources

Development of machine learning algorithms to create a multilayer network approach for the understanding of Age-Related Macular Degeneration (AMD) and its implication on stratification and prevention decision making processes

The long-term effects of diabetes include damage to large and small blood vessels, which can lead to heart attack and stroke, and problems with the kidneys, eyes, feet and nerves

Virtual Reality Surgical Simulators

Deep Reinforcement Learning in Surgical Robotics

Deep Learning-based Surgical Robots

Application of biclustering and artificial intelligence to the analysis of biological and medical data

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