A5027892983- Gut microbiota and health
- Genomics and Phylogenetic Studies
- Probiotics and Fermented Foods
- Machine Learning in Bioinformatics
- Diet and metabolism studies
- Fractal and DNA sequence analysis
- Gastrointestinal motility and disorders
- Algorithms and Data Compression
- AI in cancer detection
- Gene expression and cancer classification
- Machine Learning in Healthcare
- Radiomics and Machine Learning in Medical Imaging
- SARS-CoV-2 detection and testing
- Microbial Community Ecology and Physiology
- SARS-CoV-2 and COVID-19 Research
- Infant Health and Development
- Nutritional Studies and Diet
- RNA and protein synthesis mechanisms
- Colorectal Cancer Screening and Detection
- Biosensors and Analytical Detection
- Oral microbiology and periodontitis research
- Pharmaceutical and Antibiotic Environmental Impacts
- COVID-19 diagnosis using AI
- Respiratory viral infections research
- Bacteriophages and microbial interactions
Erciyes University
2015-2025
Bozok Universitesi
2021-2024
Kayseri Eğitim ve Araştırma Hastanesi
2022
Kayser (Italy)
2017
University of Nebraska–Lincoln
2009-2014
Computational analysis of metagenomes requires the taxonomical assignment genome contigs assembled from DNA reads environmental samples. Because diverse nature microbiomes, length assemblies obtained can vary between a few hundred bp to Kbp. Current taxonomic classification algorithms provide accurate for long or short fragments organisms that have close relatives with annotated genomes. These are significant limitations metagenome because complexity microbiomes and paucity existing We...
This study aims to provide an effective solution for the autonomous identification of dental implant brands through a deep learning-based computer diagnostic system. It also seeks ascertain system's potential in clinical practices and offer strategic framework improving diagnosis treatment processes implantology. employed total 28 different learning models, including 18 convolutional neural network (CNN) models (VGG, ResNet, DenseNet, EfficientNet, RegNet, ConvNeXt) 10 vision transformer...
The tremendous boost in next generation sequencing and the “omics” technologies makes it possible to characterize human gut microbiome—the collective genomes of microbial community that reside our gastrointestinal tract. Although some these microorganisms are considered be essential regulators immune system, alteration complexity eubiotic state microbiota might promote autoimmune inflammatory disorders such as diabetes, rheumatoid arthritis, Inflammatory bowel diseases (IBD), obesity,...
We enrolled consecutive IBS-M patients (n = 25) according to Rome IV criteria. Fecal samples were obtained from all twice (pre-and post-intervention) and high-throughput 16S rRNA sequencing was performed. Six weeks of personalized nutrition diet 14) for group 1 a standard IBS 11) 2 followed. AI-based designed based on optimizing nutritional strategy by an algorithm regarding individual gut microbiome features. The IBS-SSS evaluation pre- post-intervention exhibited significant improvement (p...
Alzheimer's disease (AD) is a heterogeneous disorder that spans continuum with multiple phases, including preclinical, mild cognitive impairment, and dementia. Unlike for most other chronic diseases, human studies reporting on AD gut microbiota in the literature are very limited. With scarcity of approved drugs therapies, rational precise modulation composition using diet tools promising approach to management AD. Such an could be personalized if can first deconstructed into strata based...
Breast cancer is a prevalent form of across the globe, and if it not diagnosed at an early stage can be life-threatening. In order to aid in its diagnosis, detection, classification, computer-aided detection (CAD) systems are employed. You Only Look Once (YOLO)-based CAD algorithms have become very popular owing their highly accurate results for object tasks recent years. Therefore, most YOLO models implemented compare performance mass with various experiments on INbreast dataset. addition,...
INTRODUCTION: Personalized management strategies are pivotal in addressing irritable bowel syndrome (IBS). This multicenter randomized controlled trial focuses on comparing the efficacy of a microbiome-based artificial intelligence-assisted personalized diet (PD) with low-fermentable oligosaccharides, disaccharides, monosaccharides, and polyols (FODMAP) for IBS management. METHODS: One hundred twenty-one patients participated, 70 assigned to PD group 51 FODMAP group. subtypes, demographics,...
ABSTRACT Protein sequence design is a highly challenging task, aimed at discovering new proteins that are more functional and producible under laboratory conditions than their natural counterparts. Deep learning‐based approaches developed to address this problem have achieved significant success. However, these often do not adequately emphasize the properties of proteins. In study, we heuristic optimization method enhance key functionalities such as solubility, flexibility, stability, while...
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms, including cognitive impairment (CI) ranging from mild (MCI) to dementia (PDD). Growing evidence supports the gut-brain axis as playing an essential role in pathophysiology of PD, suggesting promising applications for combining advanced neuroimaging techniques with microbiome profiling accelerate biomarker discovery therapeutic innovation. This study combines resting-state functional...
Human gut microbiota is a complex community of organisms including trillions bacteria. While these microorganisms are considered as essential regulators our immune system, some them can cause several diseases. In recent years, next-generation sequencing technologies accelerated the discovery human microbiota. this respect, use machine learning techniques became popular to analyze disease-associated metagenomics datasets. Type 2 diabetes (T2D) chronic disease and affects millions people...
Cognitive impairment (CI) is very common in patients with Parkinson's Disease (PD) and progressively develops on a spectrum from mild cognitive (PD-MCI) to full dementia (PDD). Identification of PD at risk developing decline, therefore, unmet need the clinic manage disease. Previous studies reported that oral microbiota was altered even early stages poor hygiene associated dementia. However, data single modalities are often unable explain complex chronic diseases brain cannot reliably...
Abstract Deep learning models have found extensive application in medical imaging analysis, particularly mammography classification. However, these encounter challenges associated with limited annotated public datasets. In recent years, self-supervised (SSL) has emerged as a noteworthy solution to addressing data scarcity by leveraging pretext and downstream tasks. Nevertheless, we recognize notable of designed for the classification task mammography. this context, propose novel model...
Data compression at its base is concerned with how information organized in data. Understanding this organization can lead to efficient ways of representing the and hence data compression. In paper we review which ideas approaches fundamental theory practice have been used area bioinformatics. We look basic theoretical from compression, such as notions entropy, mutual information, complexity for analyzing biological sequences order discover hidden patterns, infer phylogenetic relationships...
There is an ongoing interplay between humans and our microbial communities. The microorganisms living in gut produce energy from food, strengthen immune system, break down foreign products, release metabolites hormones, which are significant for regulating physiology. shifts away this "healthy" microbiome considered to be associated with many diseases. Inflammatory bowel diseases (IBD) including Crohn's disease ulcerative colitis, related disorders affecting the intestinal tract. Although...
Abstract Background The capacity of the current molecular testing convention does not allow high-throughput and community level scans COVID-19 infections. diameter in paradigm shallow tracing is unlikely to reach silent clusters that might be as important symptomatic cases spread disease. Group a feasible promising approach when resources are scarce relatively low prevalence regime observed on population. Methods We employed group with sparse random pooling scheme conventional test decoding...
Breast cancer is the most prevalent and crucial type that should be diagnosed early to reduce mortality. Therefore, mammography essential for diagnosis owing high-resolution imaging appropriate visualization. However, major problem of screening high false positive recall rate breast diagnosis. High rates psychologically affect patients, leading anxiety, depression, stress. Moreover, recalls increase costs create an unnecessary expert workload. Thus, this study proposes a deep learning based...
The tremendous boost in the next generation sequencing and omics technologies makes it possible to characterize human gut microbiome (the collective genomes of microbial community that reside our gastrointestinal tract). While some these microorganisms are considered as essential regulators immune system, others can cause several diseases such Inflammatory Bowel Diseases (IBD), diabetes, cancer. IBD, is a related disorder where deviations from healthy be associated with IBD. Although...
IL-22 is an alpha-helical cytokine which belongs to the IL-10 family of cytokines. produced by RORγt+ innate and adaptive lymphocytes, including ILC3, γδ T, iNKT, Th17 Th22 cells some granulocytes. receptor expressed primarily non-haematopoietic cells. critical for barrier immunity at mucosal surfaces in steady state during infection. Although knockout mice were previously shown develop experimental autoimmune encephalomyelitis (EAE), a murine model multiple sclerosis (MS), how temporal...