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Faisal Mahmood

Biomedical Informatics

University of Nottingham

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About Faisal Mahmood at University of Nottingham

As a dedicated researcher at University of Nottingham, Faisal Mahmood has developed a specialized expertise in AI in cancer detection, radiomics, digital pathology, machine learning in medical imaging, computational pathology, whole-slide image analysis, weakly-supervised deep learning, multimodal foundation models. A representative example of their recent contribution is the study titled "High incidence of antibiotic resistance amongst isolates of Helicobacter pylori collected in Nottingham, UK, between 2001 and 2018", which offers critical insights into the dynamics of AI in cancer detection and radiomics. Additional work such as "Age-Dependent Increase in Tau Phosphorylation at Serine 396 in Huntington’s Disease Prefrontal Cortex" further demonstrates their commitment to advancing knowledge in this domain.

Research Areas

AI in cancer detectionradiomicsdigital pathologymachine learning in medical imagingcomputational pathologywhole-slide image analysisweakly-supervised deep learningmultimodal foundation models
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Academic Impact Matrix

Research output metrics for Faisal Mahmood aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations66

Emerging researcher

Publications5

Selective publication record

h-index3

Developing track record

i10-index2

Early-stage portfolio

Lab Environment

No lab data yet for Faisal Mahmood

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Top Publications

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