Ahsan Akram (MBChB, PhD)
- Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Molecular Medicine
- MRC Centre for Inflammation Research, QMRI
Contact details
- Tel: 0131 2429100
- Email: ahsan.akram@ed.ac.uk
Address
- Street
-
Cancer Research UK Edinburgh Centre
MRC Institute of Genetics and Molecular Medicine
The University of Edinburgh
Western General Hospital
Crewe Road
EDINBURGH - City
- Post code
- EH4 2XR
- Street
-
The University of Edinburgh/MRC Centre for Inflammation Research
The Queen's Medical Research Institute
47 Little France Crescent - City
- Edinburgh
- Post code
- EH16 4TJ
Background
Ahsan Akram is a Cancer Research UK Clinician Scientist Fellow and Honorary Consultant in Respiratory Medicine. He undertook a PhD in Pulmonary Optical Imaging (2012-2015) and now is planning to apply some of these modalities Lung Cancer for treatment stratification.
Qualifications
MBChB, MRCP, PhD
Open to PhD supervision enquiries?
Yes
Current PhD students supervised
Layla Mathieson- OPTIMA PhD Student
Helen Titmarsh (co-supervisor)- OPTIMA PhD Student
Dr Susan Fernandes (co-supervisor)- MRC Clinical Research Tranining Fellow
Research summary
Characterising and imaging the tumour microenvironment, developing translational imaging tools for human in vivo imaging.
Current project grants
Cancer Research UK Clinician Scientist Fellowship. Fibroblast Activation Protein Expressing Cancer Associated Fibroblasts From Lung Cancer As Imaging Biomarkers For Immunotherapy Stratification. 2017-2022, £1.13M
Wellcome Trust Translation Fund Award. Clinical Validation of Optical Molecular Alveoscopy for the Immediate Bed-Side Diagnosis of Pneumonia in the Intensive Care Unit. Co-applicant on proposal, 2017-21, £3.1M.
-
Computational Fluorescence Suppression in Shifted Excitation Raman Spectroscopy
(18 pages)
In:
IEEE Transactions on Biomedical Engineering
DOI: https://doi.org/10.1109/TBME.2023.3243866
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Understanding patient barriers and facilitators to uptake of lung screening using low dose computed tomography: a mixed methods scoping review of the current literature
In:
Respiratory research, vol. 23, pp. 374
DOI: https://doi.org/10.1186/s12931-022-02255-8
Research output: Contribution to Journal › Review article (Published) -
Optimizing the implementation of lung cancer screening in Scotland: Focus group participant perspectives in the LUNGSCOT study
In:
Health Expectations, vol. 25, pp. 3246-3258
DOI: https://doi.org/10.1111/hex.13632
Research output: Contribution to Journal › Article (Published) -
A Layer-Level Multi-Scale Architecture for Lung Cancer Classification with Fluorescence Lifetime Imaging Endomicroscopy
(14 pages)
In:
Neural Computing and Applications, vol. 34, pp. 18881-18894
DOI: https://doi.org/10.1007/s00521-022-07481-1
Research output: Contribution to Journal › Article (Published) -
Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Images
In:
Communications biology, vol. 5
DOI: https://doi.org/10.1038/s42003-022-04090-5
Research output: Contribution to Journal › Article (Published)