OSCAR-AI and GARN-CLS

Thank you to everyone who attended OSCAR AI and GARN-CLS.

To confirm your attendance and receive event updates, materials, and certificates, please complete the form below:

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We appreciate your participation and look forward to welcoming you to future events.

— OSCAR AI and GARN-CLS Team

OSCAR-AI: First Edition Event Reviews

Abdelkarim Abdelreheem

I was lucky over the last 3 days, to attend GARN and Oscar Al Winter School: Tech Fusion in Cancer-Bioinformatics and Optical Sensors Diagnostics event in The German University in Cairo. I loved the engineering, bioinformatics talks on their recent achievements in the field and how they emphasized that interdisciplanary research and team work by building connections is key to solving complex problems in our case cancer diagnosis mainly. This viewed for us a glimpse of the exciting future of technology in health care. I am glad to have met new amzing people whom we became friends and also met old friends which is heart warming. Thanks to all who made this beautiful gathering possible Assoc. Prof. Dr. Eng. Amir Roushdy Prof. Dr. Mohammed hamed Dr. Nabila Hamdi Dr. Asmaa Mohamed Reda Dr. Rasha Hanafi Dr. Rana A. Youness

And all speakers

Mina Isaac

A Moment to remember 1

thrilled to have attended the Winter School: Tech Fusion in Cancer!

Participating in this program hosted by Aratronics, focusing on Bioinformatics and Optical Sensors Diagnostics, was a truly transformative experience. It has fueled my passion for the field and opened my eyes to the incredible potential of technology in cancer research.

The absolute highlight was finally meeting Assoc. Prof. Dr.

Eng. Amir Roushdy in person—an incredibly inspiring moment for me.

Feeling motivated and ready for the next big step!

Sohaila Ahmed

I'm excited to share that I attended the Oscar Al & GARN CLS Conference

- Winter School: Tech

Fusion in Cancer: Bioinformatics and Optical Sensors Diagnostics, held at the German University in Cairo (GUC) German University in Cairo (GUC) & Universität Rostock from 20-22 December 2025.

The three-day conference offered a rich scientific agenda that explored the integration of artificial intelligence, bioinformatics go , cancer research, and

optical sensor diagnostics through a series of insightful lectures, discussions, and interactive sessions.

Throughout the event, we gained valuable knowledge about cutting-edge technologies, real-world applications, and future perspectives at the intersection of Al and cancer research. I'm truly excited to be part of this community and to collaborate and share knowledge with you all.

My sincere appreciation to the organizers and the distinguished speakers for their efforts and valuable contributions: Mohamed Hamed EG-CompBio Nabila Hamdi ARAtronics Research Center Oussema Khamessi Kais Ghedira Rasha Sayed Hanafi

It was a truly rewarding experience, and I look forward to more collaboration and future « events together.

Sahar Mansour

A remarkable scientific event organized by GARN CLS

& Oscar Al, dedicated to exploring the role of #Artificial_Intelligence in #cancer_diagnosis and #treatment and the transformative potential of combining #Biotech + Al in reshaping the future of #healthcare.

I had the privilege of sharing our work Kasr AlAiny - School of Medicine, Cairo University and Baheya Foundation on #Al-based #platforms for #breast_cancer_screening and healthcare workflow optimization, showcasing how advanced technologies can be translated into practical, clinically applicable solutions that support #early_detection, clinical decision-making, and #improved_patient_care.

A Special thanks to:

*Assoc. Prof. Dr. Eng. Amir Roushdy, and Dr. @Mohamed Hamed for organizing and leading this impactful event.

*Hugo Murua Escobar for his inspiring lecture on personalized medicine.

*Shereen Afifi for kindly inviting me to participate.

* It was a pleasure engaging in scientific discussions with colleagues

* Finally, heartfelt thanks to The German University in Cairo for hosting and supporting research and innovation.

Rasha Sayed Hanafi

I had the pleasure of giving a talk on how we develop and optimize analytical methods to generate high-quality data for metabolomic studies. This was the central theme of my presentation at the OSCAR AI-GARN event at the German University in Cairo - GUC

Many thanks to my dear colleagues Dr. Mohamed Hamed and Dr. Amir Roushdy for organizing such a wonderful and insightful event.

Ahmed El tiaby

حين يجتمع النانو بالبايو تحت مظلة ال Al جميعاً لخدمة الطب والإنسانية نقدر نقول الحمد الله

حصول البوستر الخاص بينا فى مؤتمر OSCAR-Al & GARN

Mariam Faik أنا و 6 على المركز الثالث CLS

ضمن فعاليات OSCAR-AI Winter School بالجامعة الألمانية

Universitat ورعاية German University in Cairo بالقاهرة

Rostock

تجربة علمية مميزة ونقاشات ثرية في تقاطع

Artificial Intelligence × Optical Sensing × Cancer

Research.

بالإضافة لورش عمل عن ال

Deep Learning for Medical

Imaging: Multi-Modal Image Classification

Machine learning و ال

كل الشكر والتقدير للجهات الداعمة والرعاة على دعمهم للبحث العلمي والباحثين الشباب

EG-CompBio

ARAtronics Research Center

Khalid Badran

الحقيقة أنا مش عارف أكتب إيه!

من ناحية عاوز أكتب كلام professional يناسب المواضيع اللي تم طرحها، ومن ناحية تانية في كمية مشاعر مختلطة مخلياني بتجنب أي كلام عقلاني...

انهاردا، أو امبارح بقى لأن الساعة عدت 12 كان آخر يوم في

OSCAR-AI Winter school

أنا فرحان لأني كان بقالي فترة كبيرة من بعد التخرج تقريبا محضرتش أي محاضرات أو تدريبات, شعور جميل مع كل معلومة جديدة, ومع كل جملة صعبة بتخليني ألف حوالين نفسي وأدور علشان أفهمها.

وفي نفس الوقت ندمان إني ضيعت وقت كتير بعيد عن الجامعة والمحاضرات، ومش عارف أنا كنت عايش ازاي كدا!!

وعندي كمية فخر واعتزاز بكل شخص ساهم في إخراج العمل الرائع دا مع إني معرفش أي حد فيهم، وأول مرة أسمع أسماءهم وأشوفهم وجها لوجه كان في ال event دا.

شكرا ليكم بجد

دا بوست شخصي غير مهني على الإطلاق، فقط للتعبير عن امتناني وشكري لكل شخص ساهم في خروج الجمال دا إلى النور

شكرا

Summary, Conclusions and Future Directions

SCAR

Khalid Badran

الحقيقة أنا مش عارف أكتب إيه!

من ناحية عاوز أكتب كلام professional يناسب المواضيع اللي تم طرحها، ومن ناحية تانية في كمية مشاعر مختلطة مخلياني بتجنب أي كلام عقلاني...

انهاردا، أو امبارح بقى لأن الساعة عدت 12 كان آخر يوم في

OSCAR-AI Winter school

أنا فرحان لأني كان بقالي فترة كبيرة من بعد التخرج تقريبا محضرتش أي محاضرات أو تدريبات, شعور جميل مع كل معلومة جديدة, ومع كل جملة صعبة بتخليني ألف حوالين نفسي وأدور علشان أفهمها.

وفي نفس الوقت ندمان إني ضيعت وقت كتير بعيد عن الجامعة والمحاضرات، ومش عارف أنا كنت عايش ازاي كدا!!

وعندي كمية فخر واعتزاز بكل شخص ساهم في إخراج العمل الرائع دا مع إني معرفش أي حد فيهم، وأول مرة أسمع أسماءهم وأشوفهم وجها لوجه كان في ال event دا.

شكرا ليكم بجد

دا بوست شخصي غير مهني على الإطلاق، فقط للتعبير عن امتناني وشكري لكل شخص ساهم في خروج الجمال دا إلى النور

شكرا

Summary, Conclusions and Future Directions

SCAR

Yara Ayman

Today, I had the incredible opportunity to attend the OSCAR-AI & GARN-CLS event at the German University in Cairo (GUC), hosted by Prof. Dr. Mohamed Hamed, and Assoc. Prof. Dr. Eng. Amir Roushdy. The event was an inspiring exploration of how bioinformatics, Al, and advanced optical sensing technologies are reshaping the future of cancer diagnostics. A special thanks to: Dr. Hugo Murua Escobar for the amazing session on personalizing healthcare and introducing complex molecular signatures in patient care. Dr. Sahar Mansour for her insightful talk on Al platforms for breast cancer screening and workflow optimization.

Dr. Asma and Dr. Mohamed Hamed for the fulfilling workshop on single-cell transcriptomics.

Abdelrahman El sayed

I was pleased to attend the Winter School: "Tech Fusion in Cancer Bioinformatics & Optical Sensor Diagnostics" at the German University in Cairo, organized through the collaboration of GARN CLS and OSCAR Al.

The event focused on how ML bioinformatics collaborate with Bio-optical sensors transforming cancer diagnostics and personalized healthcare, with an emphasis on data-driven and interdisciplinary research.

I also attended ML with Bio-Optical Sensors Data workshop gaining hands-on experience with core ML concepts, supervised learning, regression models, neural network basics, and applying ML to bio-optical sensor data.

Abdelrahman Adham

I am beyond happy to announce that I had the wonderful opportunity to Give the workshop Introduction to Machine Learning for Bio-Optical Sensors Data under the lead and supervision of Assoc. Prof. Dr. Eng. Amir Roushdy. This workshop was a part of the "OSCAR-Al Tech Fusion in Cancer: Bioinformatics and Optical Sensor Diagnostics. In this workshop, I managed to deliver the basics of ML and Neural Networks with optical sensor applications to many enthusiastic attendees.

Many thanks to Assoc. Prof. Dr. Eng. Amir Roushdy for making this possible!

Khalid Badran

الحقيقة أنا مش عارف أكتب إيه!

من ناحية عاوز أكتب كلام professional يناسب المواضيع اللي تم طرحها، ومن ناحية تانية في كمية مشاعر مختلطة مخلياني بتجنب أي كلام عقلاني...

انهاردا، أو امبارح بقى لأن الساعة عدت 12 كان آخر يوم في

OSCAR-AI Winter school

أنا فرحان لأني كان بقالي فترة كبيرة من بعد التخرج تقريبا محضرتش أي محاضرات أو تدريبات, شعور جميل مع كل معلومة جديدة, ومع كل جملة صعبة بتخليني ألف حوالين نفسي وأدور علشان أفهمها.

وفي نفس الوقت ندمان إني ضيعت وقت كتير بعيد عن الجامعة والمحاضرات، ومش عارف أنا كنت عايش ازاي كدا!!

وعندي كمية فخر واعتزاز بكل شخص ساهم في إخراج العمل الرائع دا مع إني معرفش أي حد فيهم، وأول مرة أسمع أسماءهم وأشوفهم وجها لوجه كان في ال event دا.

شكرا ليكم بجد

دا بوست شخصي غير مهني على الإطلاق، فقط للتعبير عن امتناني وشكري لكل شخص ساهم في خروج الجمال دا إلى النور

شكرا

Summary, Conclusions and Future Directions

SCAR

Abdelkarim Abdelreheem

I was lucky over the last 3 days, to attend GARN and Oscar Al Winter School: Tech Fusion in Cancer-Bioinformatics and Optical Sensors Diagnostics event in The German University in Cairo. I loved the engineering, bioinformatics talks on their recent achievements in the field and how they emphasized that interdisciplanary research and team work by building connections is key to solving complex problems in our case cancer diagnosis mainly. This viewed for us a glimpse of the exciting future of technology in health care. I am glad to have met new amzing people whom we became friends and also met old friends which is heart warming. Thanks to all who made this beautiful gathering possible Assoc. Prof. Dr. Eng. Amir Roushdy Prof. Dr. Mohammed hamed Dr. Nabila Hamdi Dr. Asmaa Mohamed Reda Dr. Rasha Hanafi Dr. Rana A. Youness

And all speakers

Mostafa Hafez

Hardware meets Intelligence.

I am glad to be part of The German University in Cairo

As I recently spent time at the ARAtronics Research Center for the Oscar Al Workshop. The focus was on a field I'm deeply passionate about: Machine Learning and its synergy with micro-optical sensors. Special thanks to Assoc. Prof. Dr. Eng. Amir Roushdy for an enlightening presentation on how these sensors are revolutionizing robotics and biomedical diagnostics. As we move toward a more automated world, the precision of optical sensing combined with ML is where the real magic happens. Grateful for the knowledge shared and the connections made!

EBI (Egyptian bio inventors)

We are proud to share our participation in this important scientific event, which focused on the application of Artificial Intelligence (Al) in cancer diagnosis and treatment, and how the integration of Biotech + Al can reshape the future of healthcare. (Oscar Al) ARAtronics Research Center

During the event, we learned a great deal and explored advanced and powerful technologies that have real potential to be translated into practical, clinically applicable solutions in the near future particularly in early detection, clinical decision support, and improving care for cancer patients,

with a strong focus on breast cancer. ان شاء اللّه

We believe that continuous learning, scientific research, and the integration of biotechnology with Al are essential steps toward building a more precise, efficient, and human-centered healthcare system. Special thanks to the person who played a key role in supporting and helping build our team:

DR Amin Elazony

DR Radwa Abdalinasser

We also extend our appreciation to the two doctors responsible for organizing and leading this scientific event:

Assoc. Prof. Dr. Eng. Amir Roushdy

Dr. Asma and Dr. Mohamed Hamed

We extend our sincere appreciation to: Hugo Murua Escobar for his valuable lecture on personalized medicine and the clinical application of complex molecular signatures. DR. Sahar Mansour for her comprehensive talk on Al-based platforms for breast cancer screening and healthcare workflow optimization.

Menna Ezzat

Sometimes, a single scientific event can genuinely change the way you see your field. I was really happy to attend the Winter School "Tech Fusion in Cancer: Bioinformatics & Optical Sensor Diagnostics" at The German University in Cairo, organized by GARN in collaboration with OSCAR Al and Universität Rostock. What I appreciated most about this event was how naturally it connected different fields like bioinformatics, Al, and bio-optical sensing and showed how they come together in real medical and research applications, especially in cancer diagnostics and personalized medicine. I'm very thankful to the speakers for sharing their knowledge and experience: Assoc. Prof. Dr. Eng. Amir Roushdy, Prof. Dr Mohamed Hamed, Ph.D and PD. Dr. Hugo Murua Escobar. Each talk added a new perspective and helped me see how research ideas move from theory to real clinical impact. The workshops were a big part of the experience for me. The Single-Cell Transcriptomics workshop lead by Assoc.

Prof. Dr. Mohamed Hamed & Dr Asmaa Mohamed Reda gave me a clearer understanding of scRNA-seq analysis pipelines, dimensionality reduction, clustering, and cell-type annotation, while the Machine Learning for Bio-Optical Sensors workshop lead by Assoc. Prof. Dr. Amir Roushdy & Eng. Abdelrahman Adham Almowafy helped me better understand about machine learning fundamentals and neural networks. Most importantly, the experience directly enriched my understanding of biosensor-based detection systems, which is highly relevant to my current project on developing a sensor-based device for toxin detection.

OSCAR-AI: First Edition Event

DAY 1

DAY 2

DAY 3

OSCAR AI AGENDA (20, 21, 22 DEC. 2025)

OSCAR-AI and GARN-CLS Winter School (20-22 December 2025)

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.

Apply

Speakers

OSCAR AI Workshops (20, 21, 22 DEC. 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

OSCAR AI Poster Session

🚀 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

Apply