Alejandro F. Frangi

Rm G530, Stopford Building, Oxford Road, University of Manchester, M13 9PL Manchester

Rm G21, Kilburn Building, Oxford Road, University of Manchester, M13 9PL Manchester

I am Professor Alejandro Frangi FREng FIEEE, and I hold the Bicentenary Turing Chair in Computational Medicine at the University of Manchester. In my role as Director of the Christabel Pankhurst Institute, I work to support health tech innovation translation in Greater Manchester.

I have the privilege of leading the UK CEiRSI Centre of Excellence on in-Silico Regulatory Science and Innovation, which seeks to advance in silico medicine across the UK. My research centres on AI and in silico technologies, and I endeavour to foster collaboration between academia, industry, and regulators to support healthcare innovation. I work at the intersection of computational modelling and medical science, with the goal of contributing to improved patient care through innovative technologies and interdisciplinary collaboration.

I am also committed to sharing the potential benefits of in silico technologies with broader audiences through my recently launched podcast, In Silico Trials, Real Impacts!

My research interests focus on the intersection of medical image analysis and modelling, with particular emphasis on machine learning (phenomenological models) and computational physiology (mechanistic models). I am especially interested in statistical methods applied to population imaging and in silico clinical trials. My interdisciplinary work has found applications across cardiovascular, musculoskeletal, and neuroscience domains.

news

Jun 16, 2025	Website launch announcement: the new website is now live!

selected publications

Lekadir, K., Frangi, A. F. , Porras, A. R., Glocker, B., Cintas, C., and 44 more authors. (2025). FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare. BMJ, 388:e081554.

journals Bib

@article{Lekadir2025a,
  month = feb,
  year = {2025},
  pages = {e081554},
  volume = {388},
  journal = {BMJ},
  title = {{FUTURE-AI}: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare},
  author = {Lekadir, K. and Frangi, A. F. and Porras, A. R. and Glocker, B. and Cintas, C. and Langlotz, C. P. and Weicken, E. and Asselbergs, F. W. and Prior, F. and Collins, G. S. and Kaissis, G. and Tsakou, G. and Buvat, I. and Kalpathy-Cramer, J. and Mongan, J. and Schnabel, J. A. and Kushibar, K. and Riklund, K. and Marias, K. and Amugongo, L. M. and Fromont, L. A. and Maier-Hein, L. and Cerdá-Alberich, L. and Martí-Bonmatí, L. and Cardoso, M. J. and Bobowicz, M. and Shabani, M. and Tsiknakis, M. and Zuluaga, M. A. and Fritzsche, M. C. and Camacho, M. and Linguraru, M. G. and Wenzel, M. and De Bruijne, M. and Tolsgaard, M. G. and Goisauf, M. and Cano Abadía, M. and Papanikolaou, N. and Lazrak, N. and Pujol, O. and Osuala, R. and Napel, S. and Colantonio, S. and Joshi, S. and Klein, S. and Aussó, S. and Rogers, W. A. and Salahuddin, Z. and Starmans, M. P. A.},
}

Mekki, Y. M., Luijten, G., Hagert, E., Belkhair, S., Varghese, C., and 10 more authors. (2025). Digital twins for the era of personalized surgery. NPJ Digit Med, 8(1):283.

journals Bib

@article{Mekki2025a,
  month = may,
  year = {2025},
  pages = {283},
  number = {1},
  volume = {8},
  journal = {NPJ Digit Med},
  author = {Mekki, Y. M. and Luijten, G. and Hagert, E. and Belkhair, S. and Varghese, C. and Qadir, J. and Solaiman, B. and Bilal, M. and Dhanda, J. and Egger, J. and Deng, J. and Khanduja, V. and Frangi, A. F. and Zughaier, S. M. and Stotland, M. A.},
  title = {Digital twins for the era of personalized surgery},
}

Chakraborti, T., Banerji, C. R. S., Marandon, A., Hellon, V., Mitra, R., and 11 more authors. (2025). Personalized uncertainty quantification in artificial intelligence. Nat. Mach. Intell., 7:522–530.

journals Bib

@article{Chakraborti2025a,
  year = {2025},
  pages = {522--530},
  volume = {7},
  journal = {Nat. Mach. Intell.},
  title = {Personalized uncertainty quantification in artificial intelligence},
  author = {Chakraborti, T. and Banerji, C. R. S. and Marandon, A. and Hellon, V. and Mitra, R. and Lehmann, B. and Bräuninger, L. and McGough, S. and Turkay, C. and Frangi, A. F. and Bianconi, G. and Li, W. and Rackham, O. and Parashar, D. and Harbron, C. and MacArthur, B.},
}

Chew, E., Burns, S., Abraham, A., Bakhoum, M., Beckman, J., and 19 more authors. (2025). Standardization and Clinical Applications of Retinal Imaging Biomarkers for Cardiovascular Disease: NHLBI Workshop/Roadmap. Nat Rev Cardiol., 22(1):47–63.

journals Bib

@article{Chew2025a,
  pages = {47--63},
  number = {1},
  volume = {22},
  month = jan,
  year = {2025},
  journal = {Nat Rev Cardiol.},
  title = {Standardization and Clinical Applications of Retinal Imaging Biomarkers for Cardiovascular Disease: NHLBI Workshop/Roadmap},
  author = {Chew, E. and Burns, S. and Abraham, A. and Bakhoum, M. and Beckman, J. and Chui, T. and Finger, R. and Frangi, A. F. and Gottesman, R. and Grant, M. and Hanssen, H. and Lee, C. and Meyer, M. and Rizzoni, D. and Rudnicka, A. and Schuman, J. and Seidelmann, S. and Tang, H. W. and Adhikari, B. and Danthi, N. and Hong, Y. and Reid, D. and Shen, G. and Oh, Y.},
}

Dou, H., Virtanen, S., Ravikumar, N., and Frangi, A. F. . (2025). A Generative Shape Compositional Framework to Synthesize Populations of Virtual Chimeras. IEEE Trans Neural Netw Learn Syst., 36(3):4750–4764.

journals Bib

@article{Dou2025a,
  pages = {4750--4764},
  number = {3},
  volume = {36},
  month = mar,
  year = {2025},
  journal = {IEEE Trans Neural Netw Learn Syst.},
  title = {A Generative Shape Compositional Framework to Synthesize Populations of Virtual Chimeras},
  author = {Dou, H. and Virtanen, S. and Ravikumar, N. and Frangi, A. F.},
}

Lashgari, M., Yang, Z., Bernabeu, M. O., Li, J.-R., and Frangi, A. F. . (2025). SpinDoctor-IVIM: A virtual imaging framework for intravoxel incoherent motion MRI. Med Image Anal., 99:103369.

journals Bib

@article{Lashgari2025a,
  pages = {103369},
  volume = {99},
  month = jan,
  year = {2025},
  journal = {Med Image Anal.},
  title = {SpinDoctor-IVIM: A virtual imaging framework for intravoxel incoherent motion MRI},
  author = {Lashgari, M. and Yang, Z. and Bernabeu, M. O. and Li, J.-R. and Frangi, A. F.},
}

Diaz-Pinto, A., Attar, R., Ravikumar, N., Suinesiaputra, A., Zhao, Y., and 11 more authors. (2022). Predicting Infarction through your Retinal Scans and Minimal Personal Information. Nat Machine Intel., 4(1):55–61. Available at: https://doi.org/10.1038/s42256-021-00427-7.

journals Bib

@article{DiazPinto2021a,
  url = {https://doi.org/10.1038/s42256-021-00427-7},
  pages = {55--61},
  number = {1},
  volume = {4},
  month = apr,
  year = {2022},
  journal = {Nat Machine Intel.},
  title = {Predicting Infarction through your Retinal Scans and Minimal Personal Information},
  author = {Diaz-Pinto, A. and Attar, R. and Ravikumar, N. and Suinesiaputra, A. and Zhao, Y. and Levelt, E. and {Dall'Armellina}, E. and Lorenzi, M. and Chen, Q. and Keenan, T. D. L. and {Agr\'{o}n}, E. and Chew, E. Y. and Lu, Z. and Gale, C. P. and Plein, S. and Frangi, A. F.},
}