Beck, Andrew H.

Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Ehteshami Bejnordi, B., Veta, M., Johannes van Diest, P., van Ginneken, B., Karssemeijer, N., Litjens, G., van der Laak, J. A. W. M., and the CAMELYON16 Consortium, Hermsen, M., Manson, Q. F., et al. (2017) · JAMA

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 3,293

Inconsistency in large pharmacogenomic studies

Haibe-Kains, B., El-Hachem, N., Birkbak, N. J., Jin, A. C., Beck, A. H., Aerts, H. J. W. L., & Quackenbush, J. (2013) · Nature

Computational Drug Discovery MethodsCancer Genomics and Diagnostics

Cited by 499

The Reprogramming of Tumor Stroma by HSF1 Is a Potent Enabler of Malignancy

Scherz-Shouval, R., Santagata, S., Mendillo, M. L., Sholl, L. M., Ben-Aharon, I., Beck, A. H., Dias-Santagata, D., Koeva, M., Stemmer, S. M., Whitesell, L., et al. (2014) · Cell

Heat shock proteins researchTGF-β signaling in diseases

Cited by 386

Combination Therapies Including Cilofexor and Firsocostat for Bridging Fibrosis and Cirrhosis Attributable to NASH

Loomba, R., Noureddin, M., Kowdley, K. V., Kohli, A., Sheikh, A., Neff, G., Bhandari, B. R., Gunn, N., Caldwell, S. H., Goodman, Z., et al. (2021) · Hepatology

Liver Disease Diagnosis and TreatmentLiver Diseases and Immunity

Cited by 296

Antibody therapy targeting the CD47 protein is effective in a model of aggressive metastatic leiomyosarcoma

Edris, B., Weiskopf, K., Volkmer, A. K., Volkmer, J.-P., Willingham, S. B., Contreras-Trujillo, H., Liu, J., Majeti, R., West, R. B., Fletcher, J. A., et al. (2012) · Proceedings of the National Academy of Sciences

Phagocytosis and Immune RegulationImmune cells in cancer

Cited by 258

Etiologic field effect: reappraisal of the field effect concept in cancer predisposition and progression

Lochhead, P., Chan, A. T., Nishihara, R., Fuchs, C. S., Beck, A. H., Giovannucci, E., & Ogino, S. (2015) · Modern Pathology

Cancer Genomics and DiagnosticsHealth, Environment, Cognitive Aging

Cited by 206

PHD3 Loss in Cancer Enables Metabolic Reliance on Fatty Acid Oxidation via Deactivation of ACC2

German, N. J., Yoon, H., Yusuf, R. Z., Murphy, J. P., Finley, L. W. S., Laurent, G., Haas, W., Satterstrom, F. K., Guarnerio, J., Zaganjor, E., et al. (2016) · Molecular Cell

Cancer, Lipids, and MetabolismCancer, Hypoxia, and Metabolism

Cited by 156

AlphaGo, Deep Learning, and the Future of the Human Microscopist

Granter, S. R., Beck, A. H., & Papke, D. J. (2017) · Archives of Pathology & Laboratory Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 152

Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab

Baxi, V., Lee, G., Duan, C., Pandya, D., Cohen, D. N., Edwards, R., Chang, H., Li, J., Elliott, H., Pokkalla, H., et al. (2022) · Modern Pathology

Cancer Immunotherapy and BiomarkersAI in cancer detection

Cited by 66

AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases

Iyer, J. S., Juyal, D., Le, Q., Shanis, Z., Pokkalla, H., Pouryahya, M., Pedawi, A., Stanford-Moore, S. A., Biddle-Snead, C., Carrasco-Zevallos, O., et al. (2024) · Nature Medicine

Liver Disease Diagnosis and TreatmentArtificial Intelligence in Healthcare and Education

Cited by 54

Safety and efficacy of combination therapies including cilofexor/ firsocostat in patients with bridging fibrosis and cirrhosis due to NASH: Results of the phase 2b ATLAS trial

Loomba, R., Noureddin, M., Kowdley, K., Kohli, A., Sheikh, A., Neff, G., Bhandari, B. R., Gunn, N. T., Caldwell, S., Goodman, Z., et al. (2020) · Journal of Hepatology

Liver Disease Diagnosis and TreatmentOrgan Transplantation Techniques and Outcomes

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