A5062640830- Cancer Genomics and Diagnostics
- Genetic factors in colorectal cancer
- COVID-19 diagnosis using AI
- Bioinformatics and Genomic Networks
- Colorectal Cancer Treatments and Studies
- Computational Drug Discovery Methods
- Genetics, Bioinformatics, and Biomedical Research
- Pancreatic and Hepatic Oncology Research
- Radiomics and Machine Learning in Medical Imaging
- Single-cell and spatial transcriptomics
- Anomaly Detection Techniques and Applications
- Gene expression and cancer classification
- COVID-19 Clinical Research Studies
- AI in cancer detection
- Artificial Intelligence in Healthcare and Education
- Epigenetics and DNA Methylation
- Genomics and Rare Diseases
- Molecular Biology Techniques and Applications
Sharif University of Technology
2018-2023
It is now known that at least 10% of samples with pancreatic cancers (PC) contain a causative mutation in the susceptibility genes, suggesting importance identifying cancer-associated genes carry mutations high-risk individuals for early detection PC. In this study, we develop statistical pipeline using new concept, called gene-motif, utilizes both mutated and mutational processes to identify 4211 3-nucleotide PC-associated gene-motifs within 203 significantly Using these as distinguishable...
Colorectal cancer (CRC) is one of the leading causes cancer-related deaths worldwide. Recent studies have observed causative mutations in susceptible genes related to colorectal 10 15% patients. This highlights importance identifying for early detection this more effective treatments among high risk individuals. Mutation considered as key point research. Many performed subtyping based on type frequently mutated genes, or proportion mutational processes. However, best our knowledge,...
Abstract Colorectal cancer (CRC) is one of the leading causes cancer-related deaths in world. It has been reported that ∼10%-15% individuals with colorectal experience a causative mutation known susceptibility genes, highlighting importance identifying mutations for early detection high risk individuals. Through extensive sequencing projects such as International Cancer Genome Consortium (ICGC), large number somatic point have identified can be used to identify cancer-associated well...
Purpose: The rapid spread of the COVID-19 omicron variant virus has resulted in an overload hospitals around globe. As a result, many patients are deprived hospital facilities, increasing mortality rates. Therefore, rates can be reduced by efficiently assigning facilities to higher-risk patients. it is crucial estimate patients' survival probability based on their conditions at time admission so that minimum required provided, allowing more opportunities available for those who need them....
Abstract Background The advent of high throughput sequencing has enabled researchers to systematically evaluate the genetic variations in cancer, identifying many cancer-associated genes. Although cancers same tissue are widely categorized group, they demonstrate differences concerning their mutational profiles. Hence, there is no definitive treatment for most cancer types. This reveals importance developing new pipelines identify genes accurately and re-classify patients with similar...
It has now known that at least 10% of samples with pancreatic cancers (PC) contain a causative mutation in the susceptibility genes, suggesting importance identifying cancer-associated genes carry mutations high-risk individuals for early detection PC. In this study, we develop statistical pipeline using new concept, called gene-motif, utilizes both mutated and mutational processes to identify 4,211 3-nucleotide PC-associated gene-motifs within 203 significantly Using these as...
The advent of high throughput sequencing has enabled researchers to systematically evaluate the genetic variations in cancer, resulting identifying many cancer-associated genes. Although cancers same tissue are widely categorized group, they demonstrate differences concerning their mutational profiles. Hence there is no “silver bullet” for treatment a cancer type. This reveals importance developing pipeline identify genes accurately and re-classify patients with similar...
Abstract Background: The advent of high throughput sequencing has enabled researchers to systematically evaluate the genetic variations in cancer, resulting identification many cancer-associated genes. Although cancers a same tissue are widely categorized group, they demonstrate differences among them with respect their mutational profiles. Hence there is no “silver bullet” for treatment cancer type. This reveals importance developing pipeline accurately identify genes and re-classify...