Publications by authors named "M A Javadi"
Article Synopsis
- Machine learning can predict risk factors for graft rejection in corneal transplants for keratoconus patients, using data collected over 27 years.
- Five different supervised learning algorithms were employed, and they all similarly identified key risk factors associated with rejection.
- The study found that the technique of keratoplasty, along with factors like patient age and donor age, significantly influenced the likelihood of graft rejection, recommending continued low-dose corticosteroid treatment post-surgery.
Purpose: This study aimed to investigate the association between variants in the interleukin (IL)-1 gene cluster and susceptibility to keratoconus (KC) in an Iranian population.
Methods: In the case group, there were 188 KC patients diagnosed by clinical findings and corneal tomography. The control group included all 205 healthy controls with no personal or family history of eye-related, metabolic, or immune system-related disease.
Background And Aim: The long-term impact of COVID-19 on nutrition and community health is inevitably noticeable. These effects can change the nutritional behavior and lifestyle of survivors. Due to the COVID consequential fear and anxiety, the pandemic can alter the motivations for choosing, buying, and consuming food.
View Article and Find Full Text PDF