Faisal A. Rahim | Medical Physicist & Data Science Expert

Faisal

Education

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"name": "Faisal Shenawy",

"occupation": "Medical Physics and Data Scientist ",

"likes": ["Math", "Scientific Problem Solving", Car Repair and Maintenance Enthusiast]

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Education

Bachelor of Science (Physics and Mathematics Section), Al-Azhar University, Cairo, Egypt, 2009 - 2013
GPA: 3.60
Graduated with First Class Honors

Graduation Project: Applying Artificial Neural Networks in Neuroscience

Developed a MATLAB-based neural network model to differentiate between epilepsy, schizophrenia, and normal brain activity using EEG data.
Analyzed and processed EEG signals to classify neurological conditions with a focus on early diagnosis.
Demonstrated the potential of artificial neural networks in aiding medical diagnostics through accurate classification of neurological disorders.

Certifications

IBM Professional Certificate in Data Science

Completed a comprehensive data science curriculum covering Python, data analysis, machine learning, and databases.
Gained practical experience through hands-on projects and case studies

Data Science in Stratified Healthcare and Precision Medicine

Institution: The University of Edinburgh
Date: October 20, 2023

Udemy Certifications in Data Science and AI

Building & Deploying an AI-Powered Medical Imaging Chatbot
Python Data Science: Data Prep & EDA with Python
Modern Artificial Intelligence with Zero Coding
Data Analysis And Science Bootcamp
Machine Learning and Computer vision
Deep learning Bootcamp

Projects section

Chest X-Ray Disease Classification with Google Teachable Machine

Simple yet powerful: I used Google Teachable Machine's intuitive interface to train a model without complex coding.
Image Recognition: The model analyzes chest X-rays and predicts the most likely disease category.
Rapid Results: The tool delivers diagnoses in less than a minute, contributing to faster decision-making.
Positive Impact: This project could make a real difference in healthcare by speeding up the diagnosis process and potentially improving patient outcomes.

Organ Dosimetry Calculator for Lu-177 DOTATATE using Streamlit

Easy to Use: The tool features a simple interface for inputting patient data and viewing results.
Accurate Calculations: The tool uses established scientific methods (MIRD and Hanscheid approximation) for accurate dose calculations.
Personalized Treatment: Doctors can use the tool to tailor treatment plans for individual patients, minimizing side effects.
Improved Safety: The tool helps ensure that radiation exposure to healthy tissues stays within safe limits.

BREAST CANCER CLASSIFICATION

Predicting if the cancer diagnosis is benign or malignant based on several observations/features

Diabetes Prediction with AutoGluon

This project demonstrates the use of AutoGluon, an automated machine learning library, to build a robust predictive model for diabetes. The model is designed to assist healthcare professionals in early detection and intervention for diabetes patients.

Phantom Dosimetry Analysis:

Sphere Volume vs.Recovery Coefficient

Occupational Eye Radiation Dose App

Work Experience

Medical imaging physicist, Alfa Medical Group, Egypt , Cairo Jun, 2014 - Feb 2016

During my tenure at Alfa Medical Group from 2014 to 2016, I specialized as an Imaging Physicist in the CT and PET-CT sections. This role provided me with the opportunity to work across multiple modalities, significantly enhancing my experience in the field of medical imaging. My responsibilities included:

Overseeing and optimizing the performance of CT and PET-CT imaging systems.

Ensuring the accuracy and quality of diagnostic images while adhering to safety standards.

Collaborating with a team of professionals to improve imaging techniques and procedures.

Providing technical support and guidance for complex imaging processes.

Contributing to the development of innovative imaging solutions to enhance patient care.

This period at Alfa Medical Group was pivotal in my career, allowing me to refine my expertise in

medical imaging physics and contributing to my professional growth in the healthcare technology sector.

⦿ Since 2016, my role as a Medical Physicist at the Kuwait Cancer Control Center has not only encompassed managing advanced diagnostic modalities but also leveraging data science tools to enhance our medical physics practices. My expertise is particularly prominent in the realm of internal dosimetry, where I apply data science methodologies to improve diagnostic accuracy and patient treatment.

⦿ Key Responsibilities:

• Implementing and overseeing SPECT-CT and PET-CT imaging systems.

• Specializing in Radionuclide Dosimetry with therapeutic isotopes like Lu-177 and Iodine-131, employing data-driven approaches for optimized patient treatment plans.

• Conducting thorough Quality Control checks of imaging devices, leveraging data analysis to enhance equipment performance and diagnostic reliability.

• Skilled operation of advanced imaging workstations, including Hermes and Xeleris GE systems, backed by a strong understanding of these platforms.

• Expertise in using GE PET-CT and Siemens SPECT-CT systems, ensuring the highest standards of diagnostic imaging.

⦿ Data Science Integration:

• Integrating data science tools and techniques into the medical physics domain, especially in the field of internal dosimetry.

• Utilizing statistical and analytical methods to interpret complex datasets, enhancing the accuracy and effectiveness of dosimetry calculations.

• Innovating within the medical physics department by applying data science for more precise and personalized patient care strategies.

Medical Physicist, Ministry of Health Kuwait, Jul 2016 - Prese

Publications

National Diagnostic Reference Levels for Nuclear Medicine in KuwaitNational Diagnostic Reference Levels for Nuclear Medicine in Kuwait

Journal of Nuclear Medicine Technology · Mar 1, 2022

Assessment of eye doses to staff involved in interventional cardiology procedures in KuwaitAssessment of eye doses to staff involved in interventional cardiology procedures in Kuwait

Radiation and Environmental Biophysics · Aug 5, 2021