Event Details
Underdiagnosis of ADHD in women and improve gender-specific diagnostics in mental healthcare.
WiDS Datathon 2025
The Women in Data Science (WiDS) Datathon 2025, organized by Prince Sultan University in collaboration with Stanford University, challenges the global data science community to develop AI models for detecting ADHD in women using fMRI data. This initiative aims to address the underdiagnosis of ADHD in women and improve gender-specific diagnostics in mental healthcare.
Why This Matters
- ADHD in women is often underdiagnosed due to differing symptom presentations
- AI can uncover neurological patterns unique to women
- Aligns with Saudi Vision 2030 and UN Sustainable Development Goals
- Opportunity to make real impact in women's healthcare
Workshops Details
Introductory Session: Overview of PSU WIDS DATATHON
Presented by Prof. Tanzila Saba, Dr. Souad Larabi, and Dr. Anees Ara.
Workshop 1: Data Analysis: Preprocessing and Visualization
Learn techniques for data preprocessing and visualization.
Workshop 2: Machine Learning/Deep Learning in MRI data
Explore applications of ML/DL in analyzing MRI datasets.
Workshop 3: Model Training & Testing using Python
Hands-on session on building and evaluating models with Python.
Workshop 4: Model Validation using Python
Focus on validation techniques to ensure model robustness.
Workshop 5: Success Stories by previous DATATHON Winners
Inspirational talks and insights from past winners.
Competition Timeline
Registration Opens
December 2024
Datathon Period
January 29 - April 7, 2025
Winner Announcement
Celebration of achievements and announcement of DATATHON 2025 winners.
May 1, 2025 at WiDS PSU Annual Conference
Technical Specifications
Tools
- Python (Primary language)
- TensorFlow/PyTorch
- Scikit-learn
- Neuroimaging libraries (NiBabel, Nilearn)
Dataset
Curated fMRI scans from 1,200 women (600 with ADHD, 600 controls)
Pre-processed
De-identified
Challenge
Develop AI models to identify ADHD biomarkers in women's brain scans with ≥85% accuracy
Classification Task
Event Gallery
WiDS Ambassadors
Prof. Tanzila Saba
PSU WiDS Ambassadors
Associate Director PSU Research & Initiative Center (CW)
AIDA Lab Leader
tsaba@psu.edu.sa
+966 11 494 8655
Ms. Fatima Khan
PSU WiDS Ambassadors
Associate Director Evaluation & Academic Accreditation Center CW, Manager Digital Academy
fkhan@psu.edu.sa
+966 11 494 8145
Committee Members
AIDA Lab Team