Current Members
Email:Â reza.vatankhahbarenji@ntu.ac.uk
Telephone:Â +44 (0)115 941 8418
Ali INAN
MPharm Student
Project:
Digital pharmacy, the new era in eHealth
The digital pharmacy project aims to revolutionize healthcare delivery by leveraging cutting-edge technology and online platforms to enhance pharmaceutical services. In this new era of eHealth, the project focuses on the seamless integration of digital solutions into traditional pharmacy practices, enabling patients to access medications, consultations, and health information remotely. Through user-friendly interfaces and secure systems, the digital pharmacy optimizes medication management, facilitates teleconsultations with healthcare professionals, and provides personalized health resources. This innovative approach not only enhances accessibility and convenience for patients but also contributes to improved medication adherence, health outcomes, and the overall efficiency of the healthcare system.
Nisa Nur YAVAÅž
MPharm student
Project:
Enhancing Medication Safety: Artificial Intelligence-Driven Detection of Drug Interactions.
The project on enhancing medication safety through artificial intelligence (AI)-driven detection of drug interactions aims to address a critical aspect of healthcare by leveraging advanced technology. Using AI algorithms, the system analyzes vast datasets to identify potential drug interactions that may pose risks to patients. By integrating this technology into healthcare workflows, the project aims to provide real-time alerts to healthcare professionals and patients, thereby preventing adverse reactions and enhancing overall medication safety. The AI-driven approach ensures a more comprehensive and proactive identification of drug interactions, leading to improved patient outcomes and a reduction in medication-related risks. This innovative solution aligns with the evolving landscape of healthcare technology, offering a scalable and efficient means of enhancing medication safety through intelligent detection mechanisms.
Ä°rem Nur YILDIZ
MPharm Student
Project:
Personalized Medication Regimens: Pharmacogenomics and Artificial Intelligence in Pharmacy Practice
The project on personalized medication regimens combines the principles of pharmacogenomics and artificial intelligence (AI) to revolutionize pharmacy practice. By incorporating genetic information, the system tailors medication regimens to individual patients based on their unique genetic profiles, optimizing treatment outcomes and minimizing adverse effects. The integration of AI enhances the precision of these personalized recommendations by continuously analyzing real-time patient data, adapting to changes in health status or medication efficacy. This innovative approach not only contributes to more effective and safer drug therapies but also aligns with the paradigm shift towards personalized medicine in healthcare. By leveraging the synergies of pharmacogenomics and AI, the project aims to usher in a new era of customized pharmacy interventions, fostering improved patient care and outcomes.
Betül KOCAMAN
MPharm Student
Project:
Revolutionizing Drug Information Resources: Artificial Intelligence-Powered Tools for Healthcare Professionals
The project focuses on revolutionizing drug information resources through the integration of artificial intelligence (AI)-powered tools designed for healthcare professionals. Leveraging advanced algorithms and machine learning, the system aims to enhance the accessibility, accuracy, and efficiency of drug-related information. By continuously analyzing vast datasets, the AI tools can provide real-time updates on drug interactions, side effects, dosage recommendations, and other critical details, empowering healthcare professionals to make informed decisions quickly. This innovative approach not only streamlines the drug information retrieval process but also contributes to improved patient safety and treatment efficacy. The project aligns with the evolving landscape of healthcare technology, offering a sophisticated and user-friendly solution that facilitates evidence-based decision-making in the dynamic field of pharmacology.
Türker Berke TATLICI
MPharm Student
Project:
RNA interference therapeutics, shortcomings and futures
The exploration of RNA interference (RNAi) therapeutics represents a promising avenue in medical research, aiming to selectively regulate gene expression for the treatment of various diseases. However, the field faces several challenges. Delivery mechanisms for small interfering RNA (siRNA) face hurdles in terms of stability, specificity, and efficient targeting. Off-target effects and potential immunogenicity also present concerns. Overcoming these shortcomings requires advancements in delivery technologies and a deeper understanding of RNAi mechanisms. The future of RNA interference therapeutics lies in refining delivery systems, enhancing target specificity, and addressing safety concerns. Continued research into novel delivery platforms, nanotechnology, and personalized medicine approaches holds the key to unlocking the full potential of RNAi therapeutics, offering a transformative impact on the treatment of genetic disorders, infectious diseases, and cancers.
Miraç Sena SARITAŞ YÜCEL
MPharm Student
Project:
Empowering Patient Education: Artificial Intelligence Applications in Medication Counseling
The project on empowering patient education focuses on integrating artificial intelligence (AI) applications into medication counseling to enhance the quality and effectiveness of patient interactions. Through AI-driven tools, healthcare professionals can provide personalized and interactive medication education, tailoring information to individual patient needs and preferences. These applications can analyze patient health data, identify potential comprehension barriers, and adapt communication strategies accordingly. By offering real-time information, interactive simulations, and answering patient queries, AI contributes to improved medication adherence and patient empowerment. This innovative approach aligns with the evolving landscape of healthcare, leveraging technology to strengthen the patient-provider relationship and foster a better understanding of medication regimens, ultimately leading to enhanced health outcomes and a more informed patient community.
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Mahdi Kouchehmeshkipouran
BSc Student
Email:
Anil Kacer
BSc Student
Email:
Emirhan Poyrazoglu
BSc Student
Email:
Tuncay Ataman
BSc Student
Email:
Ibrahim Orkun Cinar
BSc Student
Email:
