• Oscar AI is a pioneering research and innovation initiative that brings together students, researchers, and professionals to explore the integration of optical sensing technologies with artificial intelligence for affordable and responsive healthcare solutions.

• The project aims to:

🔹 Advance the use of optical sensors for medical diagnostics, particularly in cancer detection.
🔹 Develop AI-driven methods for early, cost-effective, and reliable healthcare applications.
🔹 Provide a collaborative platform for students, graduates, and experts to exchange knowledge and drive innovation.

📅 Project Duration: September 2025 – December 2025

🔹 As part of this framework, you will be invited to join the OSCAR-AI Winter School, which will take place on 20, 21, and 22 December 2025 at the German University in Cairo (GUC) campus. The program will provide intensive training in optical sensing, AI-based diagnostics, and hands-on research methodologies.

Introduction to Machine Learning and Deep Learning Workshop (20 December 2025)

1. 🚀 Introduction to Machine Learning for bio-optical sensors Data Workshop — Your First Step Into OSCAR AI!
Are you ready to learn how computers “learn”?
Join us on 20 December 2025 for a hands-on workshop where you’ll discover how machines recognize patterns, how Neural Networks work at the most fundamental level, and how ML can be applied to bio-optical sensor data!

✨ What you will learn:
🔹 What “learning” means in Machine Learning
🔹 How computers detect patterns in data
🔹 The basics of supervised learning
🔹 Introduction to Linear & Logistic Regression
🔹 What a Neural Network is and how it works
🔹 Activation functions & hidden layers
🔹 Training fundamentals: gradient descent & loss functions
🔹 Using ML for bio-optical sensor applications
🔹 Mini hands-on projects:
 • Simple classification model
 • Optical sensor data demo

🖥️ Requirements: Laptop
⏱️ Duration: 1 day — 3 hours
🎯 Perfect for: beginners, engineering students, AI learners, researchers, and anyone curious about Machine Learning

2.  🚀 Single Cell Transcriptomics: Insights into Cell Diversity and Tumor Heterogeneity

Are you ready to explore how single-cell RNA sequencing (scRNA-seq) reveals the hidden diversity of cells and uncovers the complex heterogeneity within tumors?
Join us on 20 December 2025 for a focused, hands-on workshop introducing cutting-edge scRNA-seq technologies and their transformative applications in biomedical and cancer research.

✨ What you will learn:
🔹 What scRNA-seq measures and how it captures cellular diversity
🔹 How raw sequencing data becomes a usable gene-expression matrix
🔹 Essential steps: quality control, normalization & feature selection
🔹 Visualizing cellular structure using PCA, t-SNE & UMAP
🔹 Clustering techniques & cell-type identification
🔹 Marker gene analysis & differential expression
🔹 Tumor heterogeneity: identifying malignant vs. non-malignant populations
🔹 Trajectory inference & understanding cellular evolution
🔹 Practical mini-projects:
 • Exploring cell clusters from real datasets
 • Detecting biological and tumor-related signatures

🖥️ Requirements: Laptop
⏱️ Duration: 1 day — 3 hours
🎯 Perfect for: biology students, bioinformatics beginners, medical researchers, oncology learners, and anyone interested in modern single-cell genomics

3. 🚀 Deep Learning for Medical Imaging: Multi-Modal Image Classification — Level Up Your AI Skills!

Ready to explore how artificial intelligence analyzes medical images with high accuracy?
Join us on 20 December 2025 for a hands-on workshop where you’ll learn how Deep Learning models process multi-modal medical images and perform automated classification using real-world datasets.

✨ What you will learn:
🔹 What multi-modal medical imaging means (X-ray, CT, MRI, Ultrasound, Histopathology)
🔹 How deep learning models interpret medical images
🔹 Convolutional Neural Networks (CNNs) for classification
🔹 Working with multi-modal fusion models
🔹 Data preprocessing & augmentation for medical datasets
🔹 Training and evaluating classification models
🔹 Key performance metrics (Accuracy, AUC, F1-score)
🔹 Model explainability for clinicians (Grad-CAM & saliency maps)
🔹 Hands-on mini-projects:
 • Multi-modal image classification
 • Model interpretation and visualization

🖥️ Requirements: Laptop
⏱️ Duration: 1 day — 3 hours
🎯 Perfect for: medical students, biomedical engineers, AI learners, and researchers looking to apply deep learning to real medical imaging tasks

👉 Limited seats! Register now and start your OSCAR AI journey!

🚀 APPLY NOW for the OSCAR AI & GARN-CLS Poster Session 2025!

📅 Event Dates: 20, 21, 22 December 2025

📍 Organized by: OSCAR AI × GARN-CLS

We’re excited to open applications for the OSCAR AI & GARN-CLS Poster Session 2025 — your chance to present your research in a 3-minute poster presentation during this major scientific event!

💡 Example Research Areas (not limited to):

* Optical sensors & bio-optical diagnostic technologies

* AI-driven medical analysis & affordable healthcare innovations

* Machine learning, deep learning & intelligent systems

* LLMs & VLMs for smart healthcare

* Cancer detection & precision oncology

* Bioinformatics, pipelines & omics analysis

* Biomedical sensing & diagnostic innovations

* Any interdisciplinary project linking tech, data science & life sciences

📌 Important Instructions

Your poster must be designed using the official OSCAR AI & GARN-CLS template.

📎 Download the poster template & guidelines:

https://drive.google.com/drive/folders/1EEi5NG_ALjpFrIVUTYOVsDYTSciQpEXr?usp=drive_link

You will download the PPTX template, prepare your poster using it, then upload your final poster (PPTX or PDF) in the form.

📄 The form includes:

* Official poster template

* Poster formatting & design guidelines

📥 You will submit:

* Name & email

* Poster title

* Abstract (150–250 words)

* Research category

* Final poster (using the provided template)

⏰ Submission Deadline: 16 December 2025

📨 Acceptance Notifications: 17–18 December 2025

Thank you for being part of the OSCAR AI & GARN-CLS scientific community.

We can’t wait to see your contribution to intelligent healthcare innovation! 🌟

🔗 Apply Here: https://www.aratronics.org/events/oscar-ai