A5024177595- Diet, Metabolism, and Disease
- Aldose Reductase and Taurine
- Dietary Effects on Health
- AI in cancer detection
- Liver Disease Diagnosis and Treatment
- Dermatology and Skin Diseases
- Circadian rhythm and melatonin
- Radiomics and Machine Learning in Medical Imaging
- Tissue Engineering and Regenerative Medicine
- Pharmacological Effects of Natural Compounds
- Sleep and related disorders
- Electrospun Nanofibers in Biomedical Applications
- Advancements in Transdermal Drug Delivery
- Fibroblast Growth Factor Research
- Phytoestrogen effects and research
- Cholesterol and Lipid Metabolism
- Research on Leishmaniasis Studies
- Muscle Physiology and Disorders
- Gestational Diabetes Research and Management
- Olfactory and Sensory Function Studies
- Pharmacology and Obesity Treatment
- Nutritional Studies and Diet
- Pain Mechanisms and Treatments
- Diverse Scientific Research Studies
- Cervical Cancer and HPV Research
University of Tehran
2019-2025
Islamic Azad University, Shoushtar Branch
2023-2025
University of British Columbia
2023-2024
Shiraz University of Medical Sciences
2020-2024
Ahvaz Jundishapur University of Medical Sciences
2016-2023
Medical University of Ilam
2022
Tabriz University of Medical Sciences
2015-2021
Shahrekord University
2021
Kabul University
2020
Islamic Azad University, Science and Research Branch
2020
Abstract Endometrial cancer (EC) has four molecular subtypes with strong prognostic value and therapeutic implications. The most common subtype (NSMP; No Specific Molecular Profile) is assigned after exclusion of the defining features other three includes patients heterogeneous clinical outcomes. In this study, we employ artificial intelligence (AI)-powered histopathology image analysis to differentiate between p53abn NSMP EC consequently identify a sub-group that markedly inferior...
Abstract Estimating sediment load of rivers is one the major problems in river engineering that has been using various data mining algorithms and variables. It desirable to obtain accurate estimates while techniques limit computational intensity when datasets are large. This study investigates usefulness geo-morphometric factors machine learning (ML) models for predicting suspended (SSL) several basins Lorestan Gilan, Iran. Six ML models, namely, multiple linear regression (MLR), artificial...
Aim The present study aimed to investigate major dietary patterns and their association with risk of gestational diabetes mellitus (GDM) in Yazd city located Iran. Methods This case–control designed was conducted at six healthcare centres. Two hundred seventy‐eight pregnant women who referred for GDM screening participated. Dietary assessment carried out by using a 67‐item validated food frequency questionnaire evaluate history participants during the last year. Principal component analysis...
Background: Taurine (Tau) is naturally synthesized in the body from cysteine. It plays a crucial role lipid and carbohydrate metabolism, increasing energy consumption, reducing inflammation, controlling appetite. Some research suggests that obesity may be associated with decreased serum Tau levels. This study first randomized controlled trial to assess effectiveness of supplement combination weight loss intervention on fibroblast growth factors (FGF) 19, 21, β-Klotho co-receptor obese women....
Liver tissue engineering via cell sheet technology would open new doors for treatment of patients with liver failure. Decellularized tissues could provide sufficient extracellular matrix (ECM) to support development hepatocytes in vivo niches. Besides, the potential temperature responsive polymer (pNIPAAm) as an intelligent surface controlling attachment/detachment cell, we set out generate three vitro microenvironments models including I: pNIPAAm hydrogel (pN hydrogel), II: decellularized...
Cancer subtyping is one of the most challenging tasks in digital pathology, where Multiple Instance Learning (MIL) by processing gigapixel whole slide images (WSIs) has been spotlight recent research. However, MIL approaches do not take advantage inter- and intra-magnification information contained WSIs. In this work, we present GRASP, a novel graph-structured multi-magnification framework for WSIs pathology. Our approach designed to dynamically emulate pathologist's behavior handling...
Taurine (Tau) is involved in many biochemical functions such as regulation of glucose and lipid metabolism, enhancement energy expenditure, anti-inflammatory effects appetite control. The most important effect Tau obesity its direct on adipose tissue. Some evidence has shown an impaired FGF (fibroblast growth factor) 19 21 biosyntheses obesity. Besides the eicosapentaenoic acid serum concentrations, other nutrients FGFs not clear. Since health problem rising around world side, biosynthesis...
Serum amyloid-A (SAA) and protein carbonyl group are rigorously related with cardiovascular diseases (CVDs) as a sensitive marker of an acute inflammatory state important index oxidative stress, respectively. Moreover, diet is one the main factors that can modify risks. Therefore, this study aimed to investigate effects Ramadan fasting on SAA levels in patients CVDs.Twenty-one (21 male; mean age 52±9 years old) CVDs (coronary artery disease, cerebrovascular, or peripheral arterial diseases)...
Evaluating the Effect of Chronotype on Meal Timing and Obesity in Iranian Housewives: A Cross-Sectional Study
Predicting survival rates based on multi-gigapixel histopathology images is one of the most challenging tasks in digital pathology. Due to computational complexities, Multiple Instance Learning (MIL) has become conventional approach for this process as it breaks image into smaller patches. However, technique fails account individual cells present each patch, while they are fundamental part tissue. In work, we developed a novel dynamic and hierarchical point-cloud-based method (CO-PILOT)...