A5013937422- COVID-19 diagnosis using AI
- Genomics and Chromatin Dynamics
- Radiomics and Machine Learning in Medical Imaging
- Genomic variations and chromosomal abnormalities
- Chromosomal and Genetic Variations
- RNA Research and Splicing
- COVID-19 Clinical Research Studies
- Adversarial Robustness in Machine Learning
- AI in cancer detection
- Anomaly Detection Techniques and Applications
- Artificial Intelligence in Healthcare and Education
- Explainable Artificial Intelligence (XAI)
- Advanced Neural Network Applications
- Gene expression and cancer classification
Sharif University of Technology
2020-2023
Hi-C is a genome-wide chromosome conformation capture technology that detects interactions between pairs of genomic regions and exploits higher order chromatin structures. Conceptually data counts interaction frequencies every position in the genome other position. Biologically functional are expected to occur more frequently than transient background artefactual interactions. To identify biologically relevant interactions, several models take biases such as distance, GC content mappability...
Abstract Hi-C is a genome-wide chromosome conformation capture technology that detects interactions between pairs of genomic regions, and exploits higher order chromatin structures. Conceptually data counts interaction frequencies every position in the genome other position. Biologically functional are expected to occur more frequently than random (background) interactions. To identify biologically relevant interactions, several background models take biases such as distance, GC content...
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....
COVID-19 is a virus with high transmission rate that demands rapid identification of the infected patients to reduce spread disease. The current gold-standard test, Reverse-Transcription Polymerase Chain Reaction (RT-PCR), has false negatives. Diagnosing from CT-scan images as more accurate alternative challenge distinguishing other pneumonia diseases. Artificial intelligence can help radiologists and physicians accelerate process diagnosis, increase its accuracy, measure severity We...
Despite the state-of-the-art performance of deep convolutional neural networks, they are susceptible to bias and malfunction in unseen situations. Moreover, complex computation behind their reasoning is not human-understandable develop trust. External explainer methods have tried interpret network decisions a way, but accused fallacies due assumptions simplifications. On other side, inherent self-interpretability models, while being more robust mentioned fallacies, cannot be applied already...