A5002787748- AI in cancer detection
- Brain Metastases and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Cervical Cancer and HPV Research
- Paraoxonase enzyme and polymorphisms
- Vaccine Coverage and Hesitancy
- Economic and Financial Impacts of Cancer
- Education, Safety, and Science Studies
- Eating Disorders and Behaviors
- Moringa oleifera research and applications
- Teacher Professional Development and Motivation
- Animal Nutrition and Physiology
- Aluminum toxicity and tolerance in plants and animals
- Iron Metabolism and Disorders
- Protein Degradation and Inhibitors
- Curcumin's Biomedical Applications
- Chemotherapy-induced organ toxicity mitigation
- Glioma Diagnosis and Treatment
- Pancreatitis Pathology and Treatment
- Health Systems, Economic Evaluations, Quality of Life
- Educational Research and Pedagogy
- Rabbits: Nutrition, Reproduction, Health
- Nanoplatforms for cancer theranostics
- Breast Cancer Treatment Studies
- Trace Elements in Health
Nile University
2025
Zagazig University
2019-2024
University of Chicago
2024
Memorial Sloan Kettering Cancer Center
2022
Brigham and Women's Hospital
2018-2021
Harvard University
2021
Breast cancer, with its high incidence and mortality globally, necessitates early prediction of local distant recurrence to improve treatment outcomes. This study develops validates predictive models for breast cancer metastasis using Recurrence-Free Survival Analysis machine learning techniques. We merged datasets from the Molecular Taxonomy Cancer International Consortium, Memorial Sloan Kettering Center, Duke University, SEER program, creating a comprehensive dataset 272, 252 rows 23...
<title>Abstract</title> Breast cancer, with its high incidence and mortality globally, necessitates early prediction of local distant recurrence toimprove treatment outcomes. This study develops validates predictive models for breast cancer metastasisusing Recurrence-Free Survival Analysis (RFS) machine learning techniques. We merged datasets from the MolecularTaxonomy Cancer International Consortium (METABRIC), Memorial Sloan Kettering Center (MSK), DukeUniversity, SEER program, creating a...
This study presents a mechanism-based receptor-targeted cellular therapy approach to treat breast brain metastasis.
Abstract Objective: To evaluate the prevalence of financial toxicity in women diagnosed with advanced/recurrent endometrial cancer and describe characteristics qualitative aspects stressors this population. Methods: Women at an urban academic center were invited to participate a mixed-methods study quality-of-life (QOL) toxicity. Participants completed surveys including EuroQOL-5D-5 (QOL), tool (COmprehensive Score for Financial Toxicity (COST)) interview inquiring about stressors....
Abstract Heat stress (HS) represents a major environmental impact on rabbits’ health, welfare, and production. Grape seed oil (GSO) has improved health growth. However, the mechanism by which they mitigate negative effects of HS in growing rabbits is still under debate. This study explored protective role dietary grape nanoemulsion (GON) against blood changes, immune dysfunction, organ histological damage, oxidative stress, inflammation triggered rabbits. A total 120 (5 weeks age average...
Metastatic brain tumors are the most commonly observed intracranial tumors, and 10–20% of adults with cancer develop metastasis. Characterizing clinically relevant metastasis models exploring different delivery options to deliver drugs across blood barrier in such fundamental for development novel therapies metastatic cancers. We have created imageable breast tumor using patient derived seeking triple negative (TNBC) lines. show a widespread distribution micro- macro-metastasis close...