Tehran University of Medical Sciences
Dr. Seyed Mohammad Ayyoubzadeh
Assistant Professor of Medical Informatics
AI and machine learning in healthcare — specializing in mHealth, IoT, and clinical decision support.
About Me
Medical informatics with deep experience in AI and digital health
Dr. Seyed Mohammad Ayyoubzadeh is an Assistant Professor of Medical Informatics at Tehran University of Medical Sciences and a faculty member of Digital Health department. He holds a Ph.D. in Medical Informatics, ranking 1st in Iran's Ph.D.
His expertise lies in AI and machine learning applications in healthcare, focusing on mHealth, IoT, and clinical decision support systems. He has published over 75 scientific papers in international journals and contributed to more than 50 research plans.
Key Achievements
- 1st rank in Iran's Medical Informatics Ph.D. entrance exam
- Best paper award at 22nd Avicenna Festival
- Member of Iran's National Elites Foundation
- 1st team rank at 1st Legalomed Entrepreneurship Festival
Education
From bachelor's to Ph.D. at Iran's leading universities
Ph.D. in Medical Informatics
2016 - 2021MSc in Medical Informatics
2013 - 2016BSc in Information Technology
2007 - 2012Educational Highlights
1st Rank
Medical Informatics Ph.D. Entrance Exam in Iran
Excellent Average
18.80 out of 20 in Ph.D. courses
Perfect Score
20 out of 20 for Ph.D. dissertation
Top Universities
Education at Iran's most prestigious universities
Research Interests
AI and emerging technologies applied to healthcare
Machine Learning & Artificial Intelligence
Development and application of machine learning algorithms for diagnosis, prediction, and decision-making in healthcare
Research Examples:
- Cancer prediction using artificial intelligence
- Cardiac disease diagnosis using data mining
- COVID-19 patient outcome prediction
mHealth & Mobile Health
Design and development of mobile health applications for patient monitoring, education, and care
Research Examples:
- Remote monitoring app for cancer survivors
- Mobile-based pregnancy care system
- Children's health applications
Internet of Things (IoT) in Healthcare
Design and implementation of IoT systems for health monitoring and care
Research Examples:
- Remote monitoring device for surgical patients
- AI-based car accident detection system
- Wearable sensors for health monitoring
Clinical Decision Support Systems
Development of intelligent systems to assist physicians in clinical decision-making
Research Examples:
- Breast cancer diagnosis system
- Mammography report interpretation system
- COVID-19 patient triage system
Research Methodology
Data Analysis
Advanced data mining techniques and statistical analysis
Software Development
Design and implementation of practical software systems
Clinical Evaluation
Evaluation of systems in real clinical environments
Collaborative Research
Collaboration with multidisciplinary and international teams
Research Collaborations
Publications
75 indexed papers, including major international collaborations
Global, regional, and national burden of breast cancer among females, 1990-2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023
Predicting triage levels in patients presenting with cardiac-related symptoms: a comparison of supervised machine learning methods
In silico discovery of novel small-molecule PD-L1 inhibitors through a multi-stage computational workflow integrating machine learning and molecular dynamics
Quantitative analysis of obesity predictors: Evidence from the Ravansar non-communicable disease (RaNCD) cohort study
Unveiling Epidemiologic Insights: A Case-Control Study of Congenital Cleft Lip and/or Palate Using Association Rule Mining
Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023
Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023
The global, regional, and national burden of cancer, 1990-2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023
Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950-2023: a demographic analysis for the Global Burden of Disease Study 2023
Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran
A review on protein corona formation on nanoparticles and prediction of its composition using artificial intelligence tools
AI applications in disaster governance with health approach: A scoping review
A systematic review and comparative evaluation to develop and validate a comprehensive framework for cancer surveillance systems
Circulating CCN6/WISP3 in type 2 diabetes mellitus patients and its correlation with insulin resistance and inflammation: statistical and machine learning analyses
Leveraging ensemble machine learning models (XGBoost and random forest) and genetic algorithms to predict factors contributing to the liposomal entrapment of therapeutics
Design, development, and evaluation of an advanced cancer surveillance system
Developing a minimum data set for the musculoskeletal physical therapy registry
Comparison of laboratory-acquired ZIF-8 drug delivery-related parameters with literature-based data via machine learning tools
Extracellular vesicles as therapeutic agents in rheumatoid arthritis: a systematic review of current evidence
Genetic algorithm optimization of tree-based models to predict cargo- and carrier-related factors affecting drug release from liposomes
Spatiotemporal analysis of gastric cancer incidence in Iran from 2014 to 2018: a geospatial epidemiological study
Development and evaluation of the musculoskeletal physical therapy registry in Iran: a step toward enhanced evidence-based practice
Artificial intelligence in drug delivery system development
Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021
Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021
Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
Artificial intelligence in nanotechnology for treatment of diseases
Global, regional, and national stillbirths at 20 weeks' gestation or longer in 204 countries and territories, 1990-2021: findings from the Global Burden of Disease Study 2021
Toxicity prediction of nanoparticles using machine learning approaches
Burden of disease scenarios by state in the USA, 2022-50: a forecasting analysis for the Global Burden of Disease Study 2021
Practical Evaluation of ChatGPT Performance for Radiology Report Generation
A systematic review of Earthquake Early Warning (EEW) systems based on Artificial Intelligence
Prediction of ovarian cancer using artificial intelligence tools
Machine learning approaches for recognition and classification of nanomaterial morphology
Drug delivery system tailoring via metal-organic framework property prediction using machine learning: A disregarded approach
Predicting Pharmacokinetics of Drugs Using Artificial Intelligence Tools: A Systematic Review
Machine learning-assisted rheumatoid arthritis formulations: A review on smart pharmaceutical design
CCN5/WISP2 serum levels in patients with coronary artery disease and type 2 diabetes and its correlation with inflammation and insulin resistance; a machine learning approach
Physical therapy registries worldwide: A systematic review
A mobile application for postoperative education of caregivers of children with congenital hypospadias: Requirement analysis
Predicting the toxicity of nanoparticles using artificial intelligence tools: a systematic review
Remote Monitoring of Colorectal Cancer Survivors Using a Smartphone App and Internet of Things-Based Device: Development and Usability Study
Mobile health applications for children's oral health improvement: A systematic review
Exploring the geospatial epidemiology of breast cancer in Iran: identifying significant risk factors and spatial patterns for evidence-based prevention strategies
Evaluation of overweight control applications with cognitive-behavioral therapy approach: A systematic review
Prognosis of COVID-19 patients using lab tests: A data mining approach
The role of hand fingerprints on predisposition of cancer development
Synthesis and Radiolabeling of Glu-Urea-Lys with 99mTc-Tricarbonyl-Imidazole-Bathophenanthroline Disulfonate Chelation System and Biological Evaluation as Prostate-Specific Membrane Antigen Inhibitor
Predicting the mortality of patients with Covid-19 A machine learning approach: Correspondence
Discovering associations between radiological features and COVID-19 patients' deterioration
Prediction of Breast Cancer using Machine Learning Approaches
Internet of Things and healthcare system: A systematic review of ethical issues
A Smartphone Remote Monitoring App to Follow Up Colorectal Cancer Survivors: Requirement Analysis
Prediction of COVID-19 Patients' Survival by Deep Learning Approaches
Persian mobile health applications for COVID-19: A use case-based study
Requirement Analysis of mHealth app for Pregnancy Care and a Framework Suggestion for Evaluating Pregnancy Mobile Apps
Digital Health Tools for Prenatal Care in COVID-19 Pandemic
An investigation of affecting factors on MOF characteristics for biomedical applications: A systematic review
Mobile health technology and healthcare providers: Systemic barriers to adoption
Digital health solutions to control the COVID-19 pandemic in countries with high disease prevalence: Literature review
Controllable synthesis of polymeric micelles by microfluidic platforms for biomedical applications: A systematic review
A systematic review of decision aids for mammography screening: Focus on outcomes and characteristics
E-booking websites in iranian public clinics: A step toward health equity
Early Breast Cancer Prediction Using Dermatoglyphics: Data Mining Pilot Study in a General Hospital in Iran
Classification of Chest Radiology Images in Order to Identify Patients with COVID-19 Using Deep Learning Techniques
Predicting COVID-19 incidence through analysis of Google trends data in Iran: Data mining and deep learning pilot study
Challenges and practical considerations in applying virtual reality in medical education and treatment
A study of factors related to patients' length of stay using data mining techniques in a general hospital in southern Iran
Supporting colorectal cancer survivors using eHealth: a systematic review and framework suggestion
A decision support system for mammography reports interpretation
Study of challenges to utilise mobile-based health care monitoring systems: A descriptive literature review
On the second moment of a stochastic radiation field
On an improved Direct Discrete Method and its application in two dimensional multi-group neutron diffusion equation
Academic profiles
For the complete list and citation metrics, visit the academic profiles.
Books
3 titles including books and book chapters
Complete HTML Training with JavaScript
Digital Health
Artificial Intelligence in Biomaterials Design and Development
Chapter 8: AI in Drug Delivery Development
Skills & Expertise
Technical skills for digital health research and development
Programming Languages
Python
Machine Learning, Data Analysis, Web Development
C#.NET
Desktop Development, ASP.NET Core, Web API
Node.js
Server Development, API, Web Applications
JavaScript/TypeScript
Frontend Development, Angular, Ionic
Database Management
Oracle
Administration, Optimization, Development
MS SQL Server
Administration, T-SQL, Reporting
Data Mining & AI Tools
WEKA
Machine Learning, Classification, Clustering
Rapid Miner
Data Preprocessing, Modeling, Evaluation
TensorFlow/Keras
Deep Learning, Neural Networks
Hardware & Electronics
PCB Design
PCB Design with Altium Designer
Arduino
Microcontroller Programming, IoT Projects
SolidWorks
3D Design, Mechanical Modeling
General IT Skills
Networking
Network Concepts, IP, IP Cameras
Information Security
ISO 27001, Internal Auditing
Project Management
Planning, Execution, Monitoring
Skills Summary
Professional Experience
Academic leadership and applied technology roles
Head of Information Technology
2023 - PresentManagement and supervision of all IT systems, development of digital infrastructure, and support for faculty technological needs
Assistant Professor
2022 - PresentTeaching and research in medical informatics, artificial intelligence, and digital health
Lecturer
2021 - 2022Teaching various courses in information technology and medical informatics
Transaction Process Expert
2014 - 2021E-Ticket project management, database development and software systems for Tehran metro and bus
IT Manager
2011VOIP system establishment, software project management and website development
Network Expert
2009 - 2011DVR and NVR system deployment, software improvements and maintenance
Experience Highlights
Team Management
Leading multidisciplinary teams in various projects
Project Management
Successfully managing over 20 research and industrial projects
Teaching & Training
Teaching at prestigious universities and conducting specialized workshops
International Collaboration
Collaboration with international researchers and institutions
Academic & Executive Roles
16 appointed academic and executive roles
Head, Health IT Experts Group — TUMS Vice-Chancellery for Treatment
International Liaison, Digital Health Department
Member, Simulation in Education Council
Member, Health Committee of Iran AI Specialized Council
Examiner, PhD Comprehensive Exam in Health Information Management (2024)
Member, Systematic Review and Meta-Analysis Studies Committee
Member, Darolfonoon Comprehensive Medical Laboratory Launch Council
Liaison, Citizen Rights Protection Committee
Member, Simulation-Based Education Committee
Examiner, PhD Comprehensive Exam in Medical Informatics (2023)
Member, Scientific Committee of Technology Event
Member, School Informatics Council
Member, School International Council
International Liaison, Health Information Management Department
Head of Faculty Informatics and Information Technology
Member, IT Executive Committee
Courses Taught
46 unique courses across 13 programs
Doctoral
| Course | Program level |
|---|---|
| Introduction to Information Engineering | PhD Medical Informatics |
| Principles of Medical Systems & Software Design | PhD Medical Informatics |
| Evaluation Methods in Medical Informatics | PhD Medical Informatics |
| Data Structures & Programming Principles | PhD Medical Informatics |
| Artificial Intelligence | PhD Neuroscience |
| Data Structures & Programming | PhD Health Information Management |
| Computer Applications in Dentistry | DDS / Doctor of Dental Surgery |
Master's
| Course | Program level |
|---|---|
| Computer Networks & Security Principles | MSc Medical Informatics |
| Web Programming (.NET) | MSc Medical Informatics |
| Health Information Systems Analysis & Modeling | MSc Medical Informatics |
| HCI / Evaluation in Health Systems | MSc Medical Informatics |
| Medical Informatics Seminar | MSc Medical Informatics |
| Research Seminar | MSc Medical Informatics |
| Object-Oriented Programming Fundamentals | MSc Medical Informatics |
| Thesis | MSc Medical Informatics |
| Communication Technologies in Telehealth | MSc Telehealth |
| Software Programming Fundamentals | MSc Telehealth |
| Entrepreneurship in Health IT | MSc Telehealth |
| Internship | MSc Telehealth |
| Smartphone Application Programming | MSc Health Information Technology |
| Web Programming | MSc Health Information Technology |
| Data Structures & Computer Programming | MSc Health Information Technology |
| Research Seminar | MSc Health Information Technology |
| Health Communication Technology | MSc Health Information Technology |
Bachelor's
| Course | Program level |
|---|---|
| IT in the Operating Room | BSc Operating Room Technology |
| Practical Computer | BSc Radiotherapy Technology |
| Theoretical Computer | BSc Radiotherapy Technology |
| Introduction to Modern Information Technology | BSc Radiology Technology |
| Computer | BSc Laboratory Sciences |
| Introductory Programming Lab | BSc Health Information Technology |
| Advanced Programming Lab | BSc Health Information Technology |
| Health Data Analysis & Visualization Lab | BSc Health Information Technology |
| Computer Networks Lab | BSc Health Information Technology |
| Computer Fundamentals Lab | BSc Health Information Technology |
| Databases Lab | BSc Health Information Technology |
| Introductory Programming | BSc Health Information Technology |
| Advanced Programming | BSc Health Information Technology |
| Health Data Analysis & Visualization | BSc Health Information Technology |
| Data Structures | BSc Health Information Technology |
| Data Structures & Computer Programming | BSc Health Information Technology |
| Computer Networks | BSc Health Information Technology |
| Computer Fundamentals | BSc Health Information Technology |
| Databases | BSc Health Information Technology |
| Research Project | BSc Health Information Technology |
| Internship: Health Indicators & Data Analysis | BSc Health Information Technology |
| Information Technology | BSc Prehospital Emergency Medicine |
Live Systems & Projects
Selected systems I designed and built that are live in production
Clinical Pharmacy Internship
Role-based management of clinical wards, residents, and internship grades with Jalali calendar support.
Visit projectHealth IT Virtual Console
Unified TUMS treatment-affairs platform for inspection, reporting, infection control, and nursing indicators.
Visit projectPubScore — Publication Scoring
ISID profile analysis with academic impact scoring and CSV export for review committees.
Visit projectHF Mirror — Hugging Face Downloads
Fetch Hugging Face model repositories onto the server and serve files for local download.
Visit projectBinesh Wound Clinic
Wound assessment and follow-up system for Binesh Wound Clinic.
Visit projectSajam — Property Management
Comprehensive real-estate and property management system.
Visit projectDr. Marjan Ahmadi Website
Specialty perinatology site covering pregnancy care services, education, and clinic contact details.
Visit projectResearch Projects
50 approved research plans across Iranian medical universities
Machine-learning system to predict fertility intention among married couples
معصومه سیمبر، سپیده رضایی قمصری، ماهرخ دولتیان، زهرا کیانی، سید محمد ایوبزاده
AI tools for nanomedicine and precision drug development
فاطمه قربانی بیدکرپه، زهرا انوری رستمی، پرنیا آفتابی، سید محمد ایوبزاده، نیلوفر معصومی، مریم کاظمی، مهناز احمدی، ریحانه مسعودیفر، نیکی پویانفر
Machine-learning analysis of autophagy markers in liver cancer
سید محمد ایوبزاده، ملیکا عاملی مجرد، ماندانا عاملی مجرد، مصطفی صابریان
Clinical, technical, ethical and regulatory requirements for an AI digital therapeutic for PTSD
ریحانه وحیدیان صادق، سید محمد ایوبزاده، زینب برزگر، جعفر بولاهری، مرتضی ناصربخت
Kidney anomaly detection and classification with pretrained, custom and transformer networks
ثریا رضایی، محمدهادی قهرودی تالی، سید محمد ایوبزاده، لیلا راننده کلانکش، فرهنوش فرنود
ZIF-8/rosuvastatin wood composite with mucilage for bone regeneration
فاطمه قربانی بیدکرپه، نیکی پویانفر، سید فرشاد حسینی شیرازی، الهام اسدیان، گلرخ فرنام، مهناز احمدی، سید محمد ایوبزاده
Multimodal AI diagnostic models for early Alzheimer detection and personalized care
غلامرضا حسنزاده، بهادر مکیآبادی، فاطمه حاجیعلی عسگری، سید محمد ایوبزاده، لیدا شفقی، سیمین محکیزاده
Deep-learning classification of endometrial tissue images
ثریا رضایی، سید محمد ایوبزاده، شراره رستمنیکان کلهری، سهیلا سعیدی، علیرضا بنای یزدیپور، صادق دهقانی، پروین حکیمی، نرگس نوروزخانی
AI clinical decision support for culture-aware, climate-friendly nutrition advice
کوروش جعفریان، سید رضا سبحانی، فاطمه فهیمی اسکوئی، مریم کریم دهنوی، محمدرضا علیاکبری، محمد حیدری، سید محمد ایوبزاده
ML model for maternal weight gain and newborn birth-weight prediction
سید رضا سبحانی، محمدرضا علیاکبری، الیاس باستانیفر، محمد حیدری، سید محمد ایوبزاده، امید امامی
Clinical nutrition and food-service guidelines for hospital crisis management
مهدی صادقیان خوراسگانی، علی گنجعلیخان حاکمی، ماجده منصوری، رامش عالیپور، محبوبه سادات ابراهیمنژاد شیروانی، سید محمد ایوبزاده، پرشنگ ناظمی
Faculty perspectives on LLMs in medical education at TUMS
شراره رستمنیکان کلهری، محمد حیدری، سید محمد ایوبزاده، شهره نادری مقام، محبوبه شالی
ML prediction of chitosan hydrogel porosity for tissue engineering
مهناز احمدی، سید محمد ایوبزاده، کامیار خوشنویسان، فروغ شمس، الهام شریف، نادر هاشمی
ML prediction of aqueous solubility for drug design
مهناز احمدی، سید محمد ایوبزاده، علیرضا بنای یزدیپور، فاطمه قربانی بیدکرپه، نیکی پویانفر، شایا مختاری
RAG model to improve geriatric care
شراره رستمنیکان کلهری، سید محمد ایوبزاده، علیرضا نمازی شبستری، مرضیه جهانیان، عطا امینی، ملیکا وفامند، علی شنائی
LLM/RAG app to optimize coronary CT angiography protocols and reduce dose
وحید چنگیزی، محمد اکبرنژاد بایی، صادق دهقانی، شاپور شیرانی، سید محمد ایوبزاده
Android educational app for computer fundamentals — Mashhad Allied Health
علیرضا بنای یزدیپور، سید محمد ایوبزاده، علیرضا علیآبادی، ثریا رضایی، مهدی یزدی، مجید خادم رضائیان
Personalized learning platform for ENT residents based on patient cases
شراره رستمنیکان کلهری، سید محمد ایوبزاده، پرنیا حسینی یزدی، ابراهیم کریمی
ML prediction of polymeric nanoparticle loading capacity
فاطمه قربانی بیدکرپه، مهناز احمدی، سید محمد ایوبزاده، آرش مقصودلو، آذین بیگزاده، آرین رضایی ارجرودی
ML and molecular docking for chemotherapy drug–interaction prediction
مهناز احمدی، سید محمد ایوبزاده
Review of nanoparticle protein corona formation and AI-based composition prediction
مهناز احمدی، فاطمه قربانی بیدکرپه، سید محمد ایوبزاده
AI-based colon disease detection from endoscopy images
سهیلا سعیدی، ثریا رضایی، سید محمد ایوبزاده، شراره رستمنیکان کلهری، علیرضا بنای یزدیپور، علیرضا خلیلیان، صادق دهقانی
AI prediction of ZIF-8 nanoparticle properties with laboratory evaluation
فاطمه قربانی بیدکرپه، نیکی پویانفر، مهناز احمدی، سید محمد ایوبزاده، نیلوفر معصومی
RAG-optimized LLMs for cardiac Cine MRI technique parameters
صادق دهقانی، سید محمد ایوبزاده، سعید دبیریفر، علیرضا بنای یزدیپور، شراره رستمنیکان کلهری، ثریا رضایی، ولیالله بایگی، ساناز موحد، سهیلا سعیدی، محمد اکبرنژاد بایی
Deep-learning detection of brain tumors in MRI
علیرضا بنای یزدیپور، صادق دهقانی، شراره رستمنیکان کلهری، سید محمد ایوبزاده، ثریا رضایی، سهیلا سعیدی، مژگان تنهاپور، مهناز احمدی، حانیه محبی
Incremental deep-learning mammography diagnostic system
سید محمد ایوبزاده، محمدهادی قهرودی تالی، نسرین احمدینژاد، وحید چنگیزی
Deep-learning segmentation and quantification of myocardial infarction MRI
سید محمد ایوبزاده، صادق دهقانی، سعید صادقی، شراره رستمنیکان کلهری، محمد طاهر احمدی، ایلیا سعادتی
Evaluating O4-GPT and Claude-3.5 for chronic kidney disease diagnosis and prediction
شراره رستمنیکان کلهری، سید محمد ایوبزاده، شهریار ناجی، محمد طاهر احمدی
AI model to predict DMARD treatment response
کامیار داوریکیا، هادی اسماعیلی، مهناز احمدی، سید محمد ایوبزاده، پریسا دلکش
Machine-learning–guided rheumatoid arthritis formulations
نیکی پویانفر، فاطمه قربانی بیدکرپه، مهناز احمدی، سید محمد ایوبزاده
AI prediction of gold nanostructure efficacy in photothermal therapy
مهناز احمدی، الهام اسدیان، سید محمد ایوبزاده
Translation and cultural adaptation of a mHealth app usability instrument
سید محمد ایوبزاده، شراره رستمنیکان کلهری، حامد صمدپور، فاطمه لطفی، رضا ربیعی، علیرضا بنای یزدیپور
Deep-learning prediction of COVID-19 patient outcomes
سعید غلامزاده، فریبا خونرز، محمود خدادوست، سید محمد ایوبزاده، عاطفه نیتی
IoT and machine-learning rapid road-accident alert system
سید محمد ایوبزاده، شراره رستمنیکان کلهری
Machine-learning factors associated with angiography in coronary artery disease
سهیلا سعیدی، امیرحسین یزدی، حمید بورقی، علی محمدپور، طالب خداویسی، سید محمد ایوبزاده، شیوا خشنودی، سید عابدین حسینی آهنگری، علی پورمحمدی، فرهود مومنپور
AI analysis of RAGE gene and soluble protein effects in multiple sclerosis
محمدرضا صفری، سهیلا سعیدی، سید محمد ایوبزاده، مهردخت مزده، علی پورمحمدی
Data-mining approaches for nanoparticle toxicity prediction
فاطمه قربانی بیدکرپه، مهناز احمدی، سید محمد ایوبزاده
Review of ML approaches for predicting metal–organic framework properties
فاطمه قربانی بیدکرپه، مهناز احمدی، نیکی پویانفر، سید محمد ایوبزاده
Systematic review of AI tools for drug pharmacokinetic prediction
مهناز احمدی، مهدیه آبیار قمصری، سید محمد ایوبزاده
Comparing selected AI models for ovarian cancer prediction
سید محمد ایوبزاده، علیرضا بنای یزدیپور، فاطمه قربانی بیدکرپه، مهناز احمدی، مرجان احمدی
Data-mining factors associated with congenital cleft lip (Mahkam Institute, 2006–2021)
سید محسن لعل موسوی، لیلا شاهمرادی، مریم علیدادی، صلاحالدین دلشاد، اعظم صباحی، ثریا رضایی، سید محمد ایوبزاده
Electronic health record for twin school students
سید حمیدرضا ابطحی، مهسا صوتی خیابانی، سید محمد ایوبزاده، مرسا غلامزاده، زهرا طالب
Behyar telecare system for postoperative gastric and colorectal cancer patients
سید محمد ایوبزاده، شراره رستمنیکان کلهری، محمد شیرخدا، نیلوفر محمدزاده
AI methods for managing COVID-19 patients in intensive care
شراره رستمنیکان کلهری، مهدی ابراهیمی، سید حمیدرضا ابطحی، سید محمد ایوبزاده، مرسا غلامزاده، احمد ناصرپور، حمیدرضا مهارلو
Evaluation of Persian-language COVID-19 mobile health applications
شراره رستمنیکان کلهری، رسول نوری، مرجان قاضی سعیدی، مبین یاسینی، مرسا غلامزاده، سید محمد ایوبزاده
COVID-19 ICU triage and outcome prediction
شراره رستمنیکان کلهری، سید حمیدرضا ابطحی، مهدی ابراهیمی، سید محمد ایوبزاده، حمیدرضا مهارلو، مرسا غلامزاده
Competitive platform for ranking AI algorithms for COVID-19 diagnosis
حسین قناعتی، سید محمد ایوبزاده، محمد شیرخدا، شراره رستمنیکان کلهری، و همکاران
Deep learning for COVID-19 detection from lung images
سید محمد ایوبزاده، شراره رستمنیکان کلهری، مرسا غلامزاده
Decision-support system for breast cancer prediction using fingerprint patterns and data mining
سکینه عباسی، شراره رستمنیکان کلهری، سید محمد ایوبزاده، آیسان الماسی زند
Remote monitoring system for postoperative gastric and colorectal cancer patients
شراره رستمنیکان کلهری، سید محمد ایوبزاده، محمد شیرخدا
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Awards & Honors
Scientific and professional recognition
Best Paper Award
22nd Avicenna Festival - "Predicting COVID-19 incidence through analysis of google trends data in Iran"
Member of Iran's National Elites Foundation
Membership in Iran's National Elites Foundation with military service facilities
1st Team Rank
1st Legalomed Entrepreneurship Festival
1st Team Rank
Smart Startup Propulsion Event
1st Rank in Ph.D. Entrance Exam
Medical Informatics Ph.D. Entrance Exam in Iran
Exceptional Talents Development Center
Member of Tehran University of Medical Sciences Exceptional Talents Development Center
Honors Summary
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Tehran, Iran
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School of Allied Medical Sciences, Tehran University of Medical Sciences
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