Development of a flexible and interoperable architecture to customize clinical solutions targeting the care of multimorbid patients. - Martin Breidenbach; Florim Hamiti; Aynur Guluzade; Naguib Heiba; Yehya Mohamad; Carlos A. Velasco; Birgit Herbeck Belnap; Dagmar Lühmann (DSAI, 2022)

A step forward in supporting home care more effectively: Individually tailored in-home care consultancy utilizing machine learning. - Henrike Gappa; Yehya Mohamad; Naguib Heiba; Daniel Zenz; Tassilo Mesenhöller; Alexia Zurkuhlen; Janine Pöpper; Wolfgang Schmidt-Barzynski (DSAI, 2022)

Key scenarios, Use Cases & Architecture of an E-health Homecare Instance. - Yehya Mohamad; Henrike Gappa; Naguib Heiba; Mustafa Yuksel; Carlos A. Velasco; Mert Gençtürk; Pedro Abizanda; Gokce Banu Laleci Erturkmen; Antje Steinhoff; Jaouhar Ayadi; Theodoros N. Arvanitis; Bilal Ahmad; et al. (DSAI, 2022)

Predicting and Understanding Care Levels of Elderly People with Machine Learning - A Random Forest Classifier Integrated with E-Health App and FHIR-Based Data Modeling. - Naguib Heiba; Yehya Mohamad; Carlos A. Velasco; Henrike Gappa; Thomas Berlage; Sandra Geisler (HCI (49), 2023)

A Data Space infrastructure supporting the integration of clinical data nodes and cancer registries to improve personalized medicine. - Florim Hamiti; Martin Breidenbach; Naguib Heiba; Aynur Guluzade; Yehya Mohamad; Carlos A Velasco (DSAI, 2024)

ELMTEX: Fine-Tuning LLMs for Structured Clinical Information Extraction. A Case Study on Clinical Reports. - Aynur Guluzade; Naguib Heiba; Zeyd Boukhers; Florim Hamiti; Jahid Hasan Polash; Yehya Mohamad; Carlos A. Velasco (AIME (2), 2025)

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports. - Aynur Guluzade; Naguib Heiba; Zeyd Boukhers; Florim Hamiti; Jahid Hasan Polash; Yehya Mohamad; Carlos A. Velasco (CoRR, 2025)