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followers: 42.0 following: 35.0 repos: 22.0 gists: 0.0

Name: Sara Aghamiri

Type: User

Company: French National Institute for Health and Medical Research

Bio: Human Digital Twins Developer. Biomedical Informatics engineer @UNL | Multimodal AI for precision medicine.

Twitter: SaraAghamiri_

Location: US, France

Hi there,👋 I'm currently using this account!

I'm an engineer specializing in developing human-digital twins and multimodal AI models for precision medicine.

Sara Aghamiri's Projects

ai_based_french_pronunciation_trainer icon ai_based_french_pronunciation_trainer

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.

digital-twins-in-healthcare icon digital-twins-in-healthcare

This repository highlights the revolutionary potential of digital twin technology in healthcare, emphasizing its ability to offer personalized treatment and improve healthcare outcomes

eye_conditions_and_diseases_treatments icon eye_conditions_and_diseases_treatments

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

github_ach icon github_ach

Complete list of all GitHub profile Badges and Achievements

gradio_fork icon gradio_fork

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

ml_template1_dcvaccine icon ml_template1_dcvaccine

This project amalgamates the outcomes of a DCVaccine predictive model within a machine learning framework utilizing Multiple Linear Regression techniques

multimodal-ai-in-medicine-tutorial icon multimodal-ai-in-medicine-tutorial

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.

personalized-medicine-and-the-treatment-of-hypertension icon personalized-medicine-and-the-treatment-of-hypertension

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

pyradiomics icon pyradiomics

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

radiogenomics_tutorial icon radiogenomics_tutorial

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.

radiomics_tutorial icon radiomics_tutorial

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.

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