PalSoft Empowers Al-Quds University with AI for Diabetes Detection

Case Study: PalSoft Empowers Al-Quds University with AI for Diabetes Detection

PalSoft partnered with Al-Quds University to revolutionize healthcare education by training student doctors to build a diabetes detection machine learning model. This collaboration aimed to bridge the gap between medicine and AI, empowering future healthcare professionals with cutting-edge tools.

Through tailored workshops, PalSoft introduced students to AI fundamentals, including data preprocessing and machine learning techniques. Students gained hands-on experience by working with anonymized medical datasets to develop a model capable of predicting diabetes risk based on health indicators.

The project resulted in a highly accurate, scalable diabetes detection model, equipping students with valuable AI skills for their medical careers. This partnership highlighted the potential of cross-disciplinary collaboration, combining PalSoft’s technological expertise with students’ medical knowledge.

By fostering innovation and bridging academia and industry, PalSoft is paving the way for future advancements in healthcare. This initiative demonstrates how AI can address real-world challenges, empowering medical professionals to integrate technology into patient care.

Interested in similar collaborations? Connect with PalSoft to explore the transformative potential of AI in your field. 

www.alquds.edu