Materials

The 1st Workshop on Data Science for Health and Biology has been a great success.
Live the experience through the video and materials below, and stay in touch with the community on LinkedIn and X.

7th April 2025

Data science for omics data
Plenary Session 1

Prediction of disease onset and progression using nationwide genetic and healthcare data

Prof. Andrea Ganna

Talk 1.1

Uncovering latent structure in omics features: a strategy to enhance discoveries in biomedicine

Prof. Sylvia Richardson

Round Table 1

Leveraging Multi-Omics Data in Clinical Research

Tutorial 1.1

Data science for genetic data analysis and disease prediction

Tutorial 1.2

Genomic causal inference for drug target identification

Tutorial 1.3

Computational Tools for pre-processing, optimisation, and drug-discovery-oriented analysis of CRISPR-screens

Tutorial 1.4

Microfluidic Technologies for Biomolecular Applications

Tutorial 1.5

AI-based platform for small molecules liability profiling

8th April 2025

Data science for medical imaging
Plenary Session 2

AI & deep learning for medical image analysis

Prof. Nicholas Ayache

Talk 2.1

Deep learning for micro-scale imaging: challenges and advances in osteoporosis analysis

Prof. Eleonora D'Arnese

Talk 2.2

Deep learning in medical imaging for radiotherapy: applications and challenges

Prof. Daniele Loiacono

Round Table 2

AI meets medical imaging: call for interdisciplinarity

Tutorial 2.1

On how to let osteocytes teach sr-microct bone lacunae segmentation

Tutorial 2.2

Implementing 3D neural networks on advanced neuroimaging approaches to monitor disease progression and outcome after traumatic brain injury

Tutorial 2.3

Denoising microscopy images with deep learning

Tutorial 2.4

Segmenting microscopy images with shallow- and deep-learning

Tutorial 2.5

Beyond labels: advacing medical imaging through unsupervised learning for anomaly detection, vessel segmentation, and phenotype discovery

9th April 2025

Data science for electronic health records
Plenary Session 3

Reality-centric AI

Prof. Mihaela Van der Schaar

Talk 3.1

Evidence based treatment of cardiovascular disease: the role of real-world data and machine learning

Prof. Alicia Ujil

Talk 3.2

Assessing brain diseases using smartphones

Prof. Oliver Chen

Round Table 3

Exploit the use of Electronic Health Records in healthcare policies and research

Tutorial 3.1

Mastering real-world health data in regional healthcare databases: challenges and opportunities

Tutorial 3.2

Smart remote monitoring

Tutorial 3.3

Revolutionizing maternal and child care: the power of real-world evidence

Tutorial 3.4

Personalized care pathways and optimization of the emergency room resources thanks to the analysis of health records

Tutorial 3.5

Data re-use for public good: a collaboration between Fondazione Cariplo and Novartis Farma