Saba Ebrahimi

ORCID: 0009-0006-1745-6639
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advanced Radiotherapy Techniques
  • Salivary Gland Tumors Diagnosis and Treatment
  • Radiation Therapy and Dosimetry
  • Evolution and Genetic Dynamics
  • CRISPR and Genetic Engineering
  • Plant Virus Research Studies
  • Protist diversity and phylogeny
  • Salivary Gland Disorders and Functions
  • Fire Detection and Safety Systems
  • Eosinophilic Disorders and Syndromes
  • Smart Grid Security and Resilience
  • Electric Power System Optimization
  • Cancer Genomics and Diagnostics
  • Child and Adolescent Health
  • Laser Applications in Dentistry and Medicine
  • Wind Energy Research and Development
  • Evolutionary Game Theory and Cooperation
  • Effects of Radiation Exposure
  • IL-33, ST2, and ILC Pathways
  • Temporomandibular Joint Disorders
  • Radiation Dose and Imaging
  • Ear and Head Tumors
  • Tumors and Oncological Cases
  • Machine Learning in Healthcare
  • Mathematical Biology Tumor Growth

Shahid Beheshti University of Medical Sciences
2021-2025

University of Houston
2019-2022

University of California, Los Angeles
2021

Mayo Clinic in Arizona
2021

Kermanshah University of Medical Sciences
2020

Eosinophilic esophagitis (EoE) is the most well-known eosinophilic gastrointestinal disorder (EGID) characterized by presence of a high number eosinophils within esophageal epithelium and clinical signs. Biopsies patients with suspected EoE may not show eosinophils, however granules help diagnosis. This study aims to evaluate cell-free eosinophil in tissue confirmed accelerate diagnosis treatment low count. Fifteen 15 were included this study. Patients' biopsies stained using...

10.5223/pghn.2025.28.1.19 article EN Pediatric Gastroenterology Hepatology & Nutrition 2025-01-01

To assess possible differences in radiation-induced lymphocyte depletion for esophageal cancer patients being treated with the following 3 treatment modalities: intensity-modulated radiation therapy (IMRT), passive scattering proton (PSPT), and (IMPT).We used 2 prediction models to estimate based on dose distributions. Model I a piecewise linear relationship between survival voxel-by-voxel dose. II assumes that lymphocytes deplete exponentially as function of total delivered The can be...

10.14338/ijpt-20-00086 article EN cc-by-nc-nd International Journal of Particle Therapy 2021-04-07

Abstract Purpose Recent studies have shown that severe depletion of the absolute lymphocyte count (ALC) induced by radiation therapy (RT) has been associated with poor overall survival patients many solid tumors. In this paper, we aimed to predict radiation‐induced in esophageal cancer during course RT based on patient characteristics and dosimetric features. Methods We proposed a hybrid deep learning model stacked structure trend toward ALC clinical information before or at early stages...

10.1002/mp.15584 article EN Medical Physics 2022-03-01

Objectives: Temporomandibular disorders (TMD) are characterized by pain or discomfort in the temporomandibular joint, periauricular region, masticatory muscles, and neck on one both sides. It may also be associated with joint sounds, restricted mandibular movements deviation. Oxidative agents have a deleterious role pathogenesis of diseases, oxidative stress can lead to TMD. The aim this study was assess biomarkers saliva TMD patients healthy controls. Materials Methods: This case-control...

10.18502/fid.v17i16.4179 article EN cc-by-nc Frontiers in Dentistry 2020-09-19

This study proposes the optimal layout of an offshore wind farm (WF) allocation for a number (N) turbines (WTs) in 2 km × fixed area. The paper aims to maximize expected WF power output and efficiency, considering joint probability distribution speed direction. In fact, effects both stochastic variables (wind direction) are considered find layout. Unlike most previous studies, using coordinate model (CM) allows WTs be located on any available spot but not only at center grids. Thus, by...

10.1109/ccwc.2019.8666609 article EN 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) 2019-01-01

A small number of extraordinary “Major Evolutionary Transitions” (METs) have attracted attention among biologists. They comprise novel forms individuality and information, are defined in relation to organismal complexity, irrespective broader ecosystem-level effects. This divorce between evolutionary ecological consequences qualifies unicellular eukaryotes, for example, as a MET although they alone failed significantly alter ecosystems. Additionally, this definition excludes revolutionary...

10.3389/fevo.2021.711556 article EN cc-by Frontiers in Ecology and Evolution 2021-12-09

In viral infections and cancer tumours, negative health outcomes often correlate with increasing genetic diversity. Possible evolutionary processes for such relationships include mutant lineages escaping host control or diversity, per se , creating too many immune system targets. Another possibility is social heterosis where mutations replicative errors create clonal varying in intrinsic capability successful dispersal; improved environmental buffering; resource extraction effective defence...

10.1098/rsos.202219 article EN cc-by Royal Society Open Science 2021-05-01

Cyber-attacks toward cyber-physical systems are one of the main concerns smart grid's operators. However, many these cyber-attacks, unmanned substations where cyber-attackers needs to be close enough substation malfunction protection and control in substations, using Electromagnetic signals. Therefore, this paper, a new threat detection algorithm is proposed prevent possible cyber-attacks substations. Using surveillance camera's streams based on You Only Look Once (YOLO) V3, suspicious...

10.1109/ccwc51732.2021.9375989 article EN 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) 2021-01-27

The prediction of the real-time (RT) electricity prices in smart grids is one challenging problems for producers as well consumers. To participate RT market, it essential to predict uncertainty inherent price values caused by data collection and analysis methods conduct risk analysis. In this paper, using Auto-regressive Integrated Moving-Average (ARIMA) formulation time-series, first a deterministic model developed. Then, Bayesian theorem considering stochastic behavior prices, ARIMA...

10.1109/ccwc51732.2021.9375962 article EN 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) 2021-01-27
Coming Soon ...