Sara Aghamiri's Projects
An AI-powered tool designed to help users improve their French pronunciation by providing real-time feedback and tailored exercises. Utilizes advanced speech recognition and machine learning algorithms to analyze and enhance spoken French.
This repository highlights the revolutionary potential of digital twin technology in healthcare, emphasizing its ability to offer personalized treatment and improve healthcare outcomes
NEI has identified the most common eye diseases in people over age 40 as: Age-related macular degeneration Cataracts Diabetic eye disease Glaucoma To catch eye conditions early and help prevent vision loss, you should get a baseline eye exam when you are 40. If you are at high risk for an eye problem, yearly visits are recommended. If there are no
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Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
This project amalgamates the outcomes of a DCVaccine predictive model within a machine learning framework utilizing Multiple Linear Regression techniques
Multimodal AI in medicine represents a transformative approach to healthcare, integrating diverse data sources such as medical imaging, electronic health records, genomic data, and sensor information to enhance diagnostic accuracy and treatment efficacy.
my new github account
A one-size-fits-many treatment strategy for hypertension is efficacious for most people; however, a more personalized approach could be useful in patients with subtypes of hypertension that do not respond as expected to treatment. Clinicians seeing patients with unusual hypertension phenotypes should be familiar with emerging trends in personalized
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
The purpose of this GitHub repository is to provide a prototype for conducting radiogenomics research, particularly focusing on the interplay between imaging features and genomic profiles in glioblastoma patients.
Codes for Radiomics/Radiogenomics Analysis
Radiomics is a field that involves extracting large amounts of quantitative features from medical images using data-characterization algorithms. These features, known as radiomics features, can be used for various applications such as diagnosing diseases, predicting outcomes, or assessing response to therapy.
Omics-data analysis- Single Cell