Lynch, Magnus D.

Developmental cell programs are co-opted in inflammatory skin disease

Reynolds, G., Vegh, P., Fletcher, J., Poyner, E. F. M., Stephenson, E., Goh, I., Botting, R. A., Huang, N., Olabi, B., Dubois, A., et al. (2021) · Science

Dermatology and Skin DiseasesPsoriasis: Treatment and Pathogenesis

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Analysis of hundreds of cis-regulatory landscapes at high resolution in a single, high-throughput experiment

Hughes, J. R., Roberts, N., McGowan, S., Hay, D., Giannoulatou, E., Lynch, M., De Gobbi, M., Taylor, S., Gibbons, R., & Higgs, D. R. (2014) · Nature Genetics

Genomics and Chromatin DynamicsChromatin Remodeling and Cancer

Cited by 461

Spatial and Single-Cell Transcriptional Profiling Identifies Functionally Distinct Human Dermal Fibroblast Subpopulations

Philippeos, C., Telerman, S. B., Oulès, B., Pisco, A. O., Shaw, T. J., Elgueta, R., Lombardi, G., Driskell, R. R., Soldin, M., Lynch, M. D., et al. (2018) · Journal of Investigative Dermatology

Wound Healing and TreatmentsSingle-cell and spatial transcriptomics

Cited by 454

What is AI? Applications of artificial intelligence to dermatology

Du‐Harpur, X., Watt, F. M., Luscombe, N. M., & Lynch, M. D. (2020) · British Journal of Dermatology

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 355

Intragenic Enhancers Act as Alternative Promoters

Kowalczyk, M. S., Hughes, J. R., Garrick, D., Lynch, M. D., Sharpe, J. A., Sloane-Stanley, J. A., McGowan, S. J., De Gobbi, M., Hosseini, M., Vernimmen, D., et al. (2012) · Molecular Cell

RNA Research and SplicingGenomics and Chromatin Dynamics

Cited by 267

DNA methylation of intragenic CpG islands depends on their transcriptional activity during differentiation and disease

Jeziorska, D. M., Murray, R. J. S., De Gobbi, M., Gaentzsch, R., Garrick, D., Ayyub, H., Chen, T., Li, E., Telenius, J., Lynch, M., et al. (2017) · Proceedings of the National Academy of Sciences

Epigenetics and DNA MethylationGenomics and Chromatin Dynamics

Cited by 166

Applications and future directions for optical coherence tomography in dermatology*

Wan, B., Ganier, C., Du‐Harpur, X., Harun, N., Watt, F. M., Patalay, R., & Lynch, M. D. (2021) · British Journal of Dermatology

Optical Coherence Tomography ApplicationsCutaneous Melanoma Detection and Management

Cited by 148

Systematic Review of Deep Learning Image Analyses for the Diagnosis and Monitoring of Skin Disease

Choy, S. P., Kim, B. J., Paolino, A., Tan, W. R., Lim, S. M. L., Seo, J., Tan, S. P., Francis, L., Tsakok, T., Simpson, M., et al. (2023) · npj Digital Medicine

Cutaneous Melanoma Detection and ManagementDermatology and Skin Diseases

Cited by 105

Clinically relevant vulnerabilities of deep machine learning systems for skin cancer diagnosis

Du-Harpur, X., Arthurs, C., Ganier, C., Woolf, R., Laftah, Z., Lakhan, M., Salam, A., Wan, B., Watt, F. M., Luscombe, N. M., et al. (2021) · Journal of Investigative Dermatology

Cutaneous Melanoma Detection and ManagementAI in cancer detection

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