Dr. Nehal Atallah | Pathology | Best Researcher Award

Dr. Nehal Atallah | Pathology | Best Researcher AwardΒ 

Dr. Nehal Atallah, Nottiigham University hospitals, United Kingdom

Nehal Mohammed Nabil Atallah is a dedicated histopathologist with a strong background in digital pathology, artificial intelligence, cytology, molecular biology, and cancer research. She earned her Bachelor of Medicine and Surgery (MBBCH) with honors from Menoufia University, Egypt, in 2012, followed by a Master’s degree in Histopathology in 2018. Nehal has extensive experience in pathology education and diagnosis, having served as a Demonstrator and later as an Assistant Lecturer at Menoufia University. Currently, she is pursuing her PhD at the University of Nottingham, focusing on the role of digital pathology and AI in improving breast cancer diagnosis and prognosis. She has actively contributed to the field through research, conference presentations, and memberships in prestigious pathology societies.

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Summary of Suitability for Best Researcher Award

Dr. Nehal Mohammed Nabil Atallah is a highly accomplished researcher in histopathology, digital pathology, and artificial intelligence, with a strong focus on cancer research. Her extensive academic background, including a PhD at the University of Nottingham, multiple prestigious conference presentations, and published research in high-impact journals, highlights her significant contributions to the field. With expertise in molecular diagnostics, bioinformatics, and digital pathology applications, she has made innovative strides in breast cancer prognosis and treatment prediction. Her dedication, research impact, and active engagement in pathology communities make her a strong candidate for the Best Researcher Award.

πŸŽ“ Education

  • Bachelor of Medicine and Bachelor of Surgery (MBBCH) – Faculty of Medicine, Menoufia University, Egypt (Nov 2012) πŸ₯✨ Graduated with Excellent with Honors
  • Master’s Degree in Histopathology – Faculty of Medicine, Menoufia University, Egypt (Nov 2018) πŸ§¬πŸ”¬ Thesis: The potential diagnostic role of Trophoblastic Cell Surface Antigen (TROP-2) in papillary thyroid carcinoma
  • PhD in Histopathology – University of Nottingham & Nottingham University Hospitals NHS Trust, UK (2020 – Present) πŸŽ“πŸ“Š Focus: Digital Pathology & AI in breast cancer diagnosis & prognosis

πŸ’Ό Work Experience

  • Demonstrator (Teaching Assistant) of Pathology – Faculty of Medicine, Menoufia University, Egypt (2014–2018) πŸŽ“πŸ“š Taught practical pathology & assisted in specimen diagnosis
  • Assistant Lecturer of Pathology – Faculty of Medicine, Menoufia University, Egypt (2018–2020) πŸ₯πŸ” Conducted tutorials, TBL sessions & assisted in diagnoses
  • Full-time PhD Student – University of Nottingham & Nottingham University Hospitals NHS Trust, UK (2020 – Present) πŸ€–πŸ©Έ Researching AI & Digital Pathology in breast cancer

πŸ† Achievements & Honors

  • Published multiple poster & oral presentations at international pathology & breast cancer conferences πŸ“œπŸŽ€
  • Oral Presentation at the British Division of the International Academy of Pathology & Pathological Society of GB & Ireland (Liverpool 2023) πŸŽ™οΈπŸ…
  • Multiple conference contributions at Manchester, Edinburgh, and Nottingham Breast Cancer Conferences πŸ₯πŸ“’
  • Abstract submissions to European Breast Cancer Conference & UK pathology conferences πŸ“πŸ”¬

πŸŽ–οΈ Memberships & Professional Affiliations

  • Egyptian Society of Pathologists πŸ‡ͺπŸ‡¬
  • Pathological Society of Medicine, UK πŸ‡¬πŸ‡§
  • Association of Breast Pathology, UK πŸŽ—οΈ
  • Breast Pathology Research Group, Nottingham University πŸ₯πŸ”¬
  • Nottingham Breast Cancer Research Centre πŸ§¬πŸ’‘

PublicationΒ Top Notes:

Prediction of response to anti-HER2 therapy using a multigene assay

 

P026: Prediction of response to anti-HER2 therapy using multigene assay

 

Characterization of Breast Cancer Intra-Tumor Heterogeneity Using Artificial Intelligence

 

Deciphering the Role of ASPM in Breast Cancer: A Comprehensive Multicohort Study

 

Gene regulated by oestrogen in breast cancer 1 (GREB1) as a surrogate oestrogen receptor biomarker