Amirmasoud Shiri

ORCID: 0009-0003-9057-9756
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About
Contact & Profiles
Research Areas
  • Neonatal Respiratory Health Research
  • Congenital Diaphragmatic Hernia Studies
  • Genomics and Rare Diseases
  • Pregnancy and preeclampsia studies
  • Metabolism and Genetic Disorders
  • Respiratory Support and Mechanisms
  • Ferroptosis and cancer prognosis
  • Childhood Cancer Survivors' Quality of Life
  • Cancer-related molecular mechanisms research
  • Gestational Diabetes Research and Management
  • RNA modifications and cancer
  • Artificial Intelligence in Healthcare and Education
  • Genetics and Neurodevelopmental Disorders
  • Genetic Associations and Epidemiology
  • Machine Learning in Healthcare
  • Vitamin D Research Studies
  • Obesity, Physical Activity, Diet
  • Microtubule and mitosis dynamics
  • Congenital heart defects research
  • Medical Coding and Health Information
  • Tracheal and airway disorders
  • FinTech, Crowdfunding, Digital Finance
  • Nutrition, Genetics, and Disease
  • Genomic variations and chromosomal abnormalities
  • Fetal and Pediatric Neurological Disorders

Shiraz University of Medical Sciences
2023-2025

Shahid Sadoughi University of Medical Sciences and Health Services
2024

Background: The tumorigenesis of lung cancer is complicated, and genetic factor may have the role in malignant transformation cells. IL-10 gene polymorphisms been evaluated for their potential roles cancer. However, those studies results are controversial. To clarify effects rs1800871, rs1800872 rs1800896 on risk cancer, a meta-analysis was performed with eligible individual studies. Methods: Eligible publications were gathered by retrieving PubMed, Web Science, Embase, Wan Fang, CNKI up to...

10.31557/apjcp.2024.25.1.287 article EN cc-by Asian Pacific Journal of Cancer Prevention 2024-01-01

The use of machine learning (ML) in biomarker analysis for predicting Down syndrome exemplifies an innovative strategy that enhances diagnostic accuracy and enables early detection. Recent studies demonstrate the effectiveness ML algorithms identifying genetic variations expression patterns associated with by comparing genomic data from affected individuals their typically developing peers. This review examines how improve prenatal screening syndrome. Advancements show integrating maternal...

10.4274/tjod.galenos.2025.12689 article EN Journal of Turkish Society of Obstetric and Gynecology 2025-02-18

The Pediatric Buccal Epigenetic (PedBE) and Neonatal Estimator of Age (NEOage) clocks provide a novel method for assessing the biological age young individuals, enhancing our comprehension their health development. By analyzing DNA methylation patterns, these identify risk factors various conditions guide personalized interventions to promote optimal growth in children infants. With ongoing research validation, PedBE NEOage could revolutionize pediatric neonatal healthcare by facilitating...

10.18502/ijpho.v15i2.18178 article EN Iranian Journal of Pediatric Hematology & Oncology 2025-03-16

The PEX11β gene contains four exons and encodes peroxisomal membrane protein 11β, which is involved in peroxisome proliferation division. Pathogenic variants this result a rare genetic disorder with autosomal recessive inheritance called biogenesis 14B (MIM: 614920). Here, we report two affected siblings novel variant (NM_003846: c.11G > A, p. Trp4Ter) the that was identified by whole exome sequencing confirmed Sanger sequencing. proband 22-year-old Iranian female who born to consanguineous...

10.1016/j.ejmg.2024.104928 article EN cc-by European Journal of Medical Genetics 2024-02-28

Background: This study examines the effectiveness of AI chatbot technology in assisting patients with congenital diplopia, focusing on a case 16-month-old boy duplicated lower limbs. Methods: We assessed performance two chatbots—Sider Fusion and Perplexity AI—by analyzing their discharge summaries against previously published clinical scenario. An orthopedic specialist, geneticist, neonatologist evaluated for competence, accuracy, relevance, informativeness, support capabilities, overall...

10.18502/wjpn.v7i1.17323 article EN World Journal of Peri & Neonatology 2024-12-23

Background: The adverse outcomes correlated with GDM for both the mother and offspring are diverse. link between polymorphisms at fat mass obesity‐correlated protein (FTO), leptin (LEP), receptor (LEPR) genes is ambiguous. In this meta-analysis, we sought to investigate correlation of FTO, LEP, LEPR risk. Methods: We performed an online search on PubMed, Web Science, Google Scholar databases identify all relevant research. Results: A total 18 case-control studies including seven research 893...

10.18502/wjpn.v6i1.14250 article EN World Journal of Peri & Neonatology 2023-12-02
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