Neuroscience & Neoplaisa
Artificial Intelligence Research Group
NAIRG, founded in 2022, is an independent research group dedicated to exploring the intersection of neuroscience and AI. Initially established at Hamadan University of Medical Sciences (UMSHA), it has since evolved beyond institutional affiliation, focusing on advancing scientific understanding and applications in these fields. We are independent, do not receive funding, and have formed this group out of passion and perceived necessity.
Our Mission
At NAIRG, our mission is to advance AI-driven research in neuroscience and oncology by integrating machine learning, bioinformatics, and multi-omics data analysis. We aim to enhance the understanding, diagnosis, and treatment of neurological disorders and cancers through predictive modeling, biomarker discovery, and explainable AI (XAI). By bridging computational research with clinical practice, we strive to develop innovative, interpretable, and impactful solutions that drive precision medicine forward.
Recent Posts
The Utopia of Artificial Intelligence in Medicine
In previous posts, I’ve discussed various breakthroughs and tools in artificial intelligence that are helping transform the world of medical science and healthcare. Today, I want to dive into a
Evaluating AI Models: Decision Curve Analysis (DCA)
Today, we have a variety of tools to evaluate the performance of AI models. From basic metrics like accuracy and AUC to more complex ones like calibration plots and precision-recall
AI-Powered Survival Prediction in Lung Cancer Using PET/CT Imaging
Published in: Journal of Nuclear Medicine (2024)
Cited by: 1
Breakthrough:
This study evaluates semi-supervised machine learning approaches for predicting lung cancer survival outcomes, integrating PET/CT imaging and clinical features.
PerPsych: Open-Source iPadOS Software for Neuropsychological Assessments
Published in: MethodsX (2024)Cited by: 2 Breakthrough:NAIRG introduces PerPsych, an open-source, tablet-based tool for assessing time perception and cognitive function. Key Findings:iPad-based assessment makes neuropsychological testing more accessible.PerPsych enhances real-time
Recent Publications
Semi-supervised vs. Supervised Machine Learning Approaches for Improved Overall Survival Prediction: Application to Lung Cancer PET/CT Images
Authors: Mohammad R. Salmanpour, Ali Fathi Jouzdani, Arman Gorji, Fatemeh Panahabadi, Mohammad Rajabi, Amirali Abootorabi, Nima Sanati, Amir Mahmoud Ahmadzadeh, Arman Rahmim
Conference: Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting
Publication Date: June 2024, Volume 65, Supplement 2, Abstract 242097
Link: Access the abstract here
Google Scholar Citation: View on Google Scholar
DOI: 10.48550/arXiv.2412.00068
Exploring Several Novel Strategies to Enhance Prediction of Lung Cancer Survival Time
Authors: Arman Gorji, Mohammad R. Salmanpour, Ali Fathi Jouzdani, Arman Rahmim
Title: Exploring Several Novel Strategies to Enhance Prediction of Lung Cancer Survival
Conference: IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2022
DOI: 10.1109/NSS/MIC.2022.10657702
Neuroprotective effects of crocin and crocin-loaded niosomes against the paraquat-induced oxidative brain damage in rats
Daneshvar, Afsoon; Fathi Jouzdani, Ali; Firozian, Farzin; Soleimani Asl, Sara; Mohammadi, Mojdeh; Ranjbar, Akram
Open Life Sciences |
DOI: 10.1515/biol-2022-0468
Differentiation Between High-Grade Glioma and Brain Metastasis Using Cerebral Perfusion-Related Parameters (Cerebral Blood Volume and Cerebral Blood Flow): A Systematic Review and Meta-Analysis of Perfusion-weighted MRI Techniques
Sana Mohammadi, Sadegh Ghaderi, Ali Fathi Jouzdani, Iman Azinkhah, Sanaz Alibabaei, Mobin Azami, Vida Omrani
Journal of Magnetic Resonance Imaging |
DOI: 10.1002/jmri.29473
Our team
Ali Fathi Jouzdani
Founder
Arman Gorji
Co-Founder
Motahare Baqeri
Researcher
Nima Sanati
Researcher
Shiva Fallahian
Researcher
Mohamad Zahedi
Researcher
Samaneh Safari
Researcher
Masoume Hamedi
Researcher
Partners
