Wählby, Carolina

In situ sequencing for RNA analysis in preserved tissue and cells

Ke, R., Mignardi, M., Pacureanu, A., Svedlund, J., Botling, J., Wählby, C., & Nilsson, M. (2013) · Nature Methods

Single-cell and spatial transcriptomicsMolecular Biology Techniques and Applications

Cited by 934

Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study

Ström, P., Kartasalo, K., Olsson, H., Solorzano, L., Delahunt, B., Berney, D. M., Bostwick, D. G., Evans, A. J., Grignon, D. J., Humphrey, P. A., et al. (2020) · The Lancet Oncology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 620

Pseudomonas aeruginosa Disrupts Caenorhabditis elegans Iron Homeostasis, Causing a Hypoxic Response and Death

Kirienko, N. V., Kirienko, D. R., Larkins-Ford, J., Wählby, C., Ruvkun, G., & Ausubel, F. M. (2013) · Cell Host & Microbe

Bacterial biofilms and quorum sensingBacterial Genetics and Biotechnology

Cited by 221

Improved breast cancer histological grading using deep learning

Wang, Y., Acs, B., Robertson, S., Liu, B., Solorzano, L., Wählby, C., Hartman, J., & Rantalainen, M. (2022) · Annals of Oncology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 211

Spage2vec: Unsupervised representation of localized spatial gene expression signatures

Partel, G., & Wählby, C. (2021) · The FEBS Journal

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 50