I hold a Master's degree in Biomedical Engineering from Politecnico di Milano, specializing in the development of software and AI solutions for healthcare. I am passionate about leveraging technology to drive innovation and make a positive impact in the world.
Artificial Intelligence
- Exploring Prediabetes Pathways: Using Machine Learning and Counterfactual Explanations for Type 2 Diabetes Prediction and Prevention
Machine Learning and Counterfactual Explanations to predict and prevent transitions between normoglycemia, prediabetes, and type 2 diabetes mellitus using EMR data.
Console D., Lenatti M., Simeone D., Keshavjee K., Guergachi A., Mongelli M., Paglialonga A., “Exploring Prediabetes Pathways Using Explainable AI on Data from Electronic Medical Records,” Proceedings of the 34th Medical Informatics Europe Conference (EFMI MIE 2024), Aug 25-29, 2024, Athens, Greece. Studies in Health Technology and Informatics, 2024. In press.
- Pneumonia and tubercolosis detection
X-ray classifier capable of distinguishing pneumonia and tubercolosis cases, coupled with explainable techniques to gain model interpretability and transparency.
- CycleGAN for domain adaptation of medical images
Development of a Deep Learning algorithm for task-agnostic domain adaptation technique on MR, PET, and CT images.
Presented @NECSTResearchLineFairEventFebruary2022.
- Time series classification
Classification of time series through the explorement of different models, as long short-term memory neural networks, recurrent neural networks, 1D-convolutional neural networks, and 2D-convolutional neural network with several preprocessing pipelines. - Customers' approval rating prediciton
Prediction of approval rating based on the data from the customers' orders.
- Regression of received likes
Prediction of received likes based on the data from the customers' orders.
Software Development
- Astroattention
Development of a 3D game for tablets to help children with ADHD familiarize and train on the Stroop test in a playful and interactive way. The application sends the collected data to the doctor via email.
- Visualizer for DICOM images
Development of a program to visualize and analyse DICOM images using a GUI.
Signal Processing
- 3D lungs segmentation
Algorithm for segmentation of lungs starting from medical images and computing of the volume of the lungs. - Neonates' HRV analysis
Development of an algorithm for the analysis of HRV of neonates to investigate the relationship between Sympathetic and Parasympathetic systems during neonate active and quiet sleep to supervise the development of Autonomic Nervous System within the first year of life. - Sensitivity analysis to the order reduction of a connectome
Development of a brute force algorithm to reduce the order of the connectome in order to identify functional networks and cerebral hubs using healthy patients’ fMRI data.
Internet of Things
