1. Design and fabricating prototype of ivf micropipetter (IR.TUMS.IKHC.REC.1402.237)
  2. Identification of microRNA panels and molecular interactions in melanoma using bioinformatics methods (IR.TUMS.IKHC.REC.1402.194)
  3. Identification of potential biomarkers associated with effective miRs in gastric cancer using bioinformatics analysis (IR.TUMS.IKHC.REC.1401.414)
  4. Digital Pathology Development Program at Cancer Biology Research Center (IR.TUMS.IKHC.REC.1401.330)
  5. Development of web-based digital pathology software for data sharing, analysis and archiving in the Cancer Institute (IR.TUMS.IKHC.REC.1401.326)
  6. Designing artificial intelligence software to improve endoscopic diagnosis of precancerous lesions and early stomach cancers (IR.NIMAD.REC.1400.166)
  7. Analyzing breast cancer histopathology images using artificial intelligence and deep learning models in order to increase the accuracy in determining breast carcinoma grading (IR.TUMS.IKHC.REC.1400.030)
  8. Using artificial intelligence tools to analyze existing data of gastric cancer patients in order to determine prognosis with high accuracy (IR.TUMS.IKHC.REC.1400.001)
  9. Using artificial intelligence and deep learning models to determine the prognosis of COVID-19 disease based on available laboratory and clinical findings (IR.TUMS.IKHC.REC.1400.040)
  10. Translation and implementation of Gil’s breast cancer risk assessment model in a web application with the ability to connect to a mobile application (IR.TUMS.IKHC.REC.1399.540)
  11. Systematic review of breast cancer risk assessment and prognosis models, preparation of a comprehensive model based on deep learning and artificial intelligence (IR.TUMS.IKHC.REC.1399.454)