Search Results - "Pearson, Alexander"

Demographics of a Large International Population of Patients Affected by Leber’s Hereditary Optic Neuropathy by Poincenot, Lissa, Pearson, Alexander L., Karanjia, Rustum

“…To study the demographics of Leber’s hereditary optic neuropathy (LHON) using a large international database of people affected by LHON. Cross-sectional study…”
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Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer by Kather, Jakob Nikolas, Pearson, Alexander T., Halama, Niels, Jäger, Dirk, Krause, Jeremias, Loosen, Sven H., Marx, Alexander, Boor, Peter, Tacke, Frank, Neumann, Ulf Peter, Grabsch, Heike I., Yoshikawa, Takaki, Brenner, Hermann, Chang-Claude, Jenny, Hoffmeister, Michael, Trautwein, Christian, Luedde, Tom

“…Microsatellite instability determines whether patients with gastrointestinal cancer respond exceptionally well to immunotherapy. However, in clinical practice,…”
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Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers by Gao, Catherine A., Howard, Frederick M., Markov, Nikolay S., Dyer, Emma C., Ramesh, Siddhi, Luo, Yuan, Pearson, Alexander T.

“…Large language models such as ChatGPT can produce increasingly realistic text, with unknown information on the accuracy and integrity of using these models in…”
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Clinical trials of immunotherapy in triple-negative breast cancer by Howard, Frederick M., Pearson, Alexander T., Nanda, Rita

“…Purpose Immunotherapy has started to transform the treatment of triple-negative breast cancer (TNBC), in part due to the unique immunogenicity of this breast…”
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The impact of site-specific digital histology signatures on deep learning model accuracy and bias by Howard, Frederick M., Dolezal, James, Kochanny, Sara, Schulte, Jefree, Chen, Heather, Heij, Lara, Huo, Dezheng, Nanda, Rita, Olopade, Olufunmilayo I., Kather, Jakob N., Cipriani, Nicole, Grossman, Robert L., Pearson, Alexander T.

“…The Cancer Genome Atlas (TCGA) is one of the largest biorepositories of digital histology. Deep learning (DL) models have been trained on TCGA to predict…”
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Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning by Echle, Amelie, Grabsch, Heike Irmgard, Quirke, Philip, van den Brandt, Piet A., West, Nicholas P., Hutchins, Gordon G.A., Heij, Lara R., Tan, Xiuxiang, Richman, Susan D., Krause, Jeremias, Alwers, Elizabeth, Jenniskens, Josien, Offermans, Kelly, Gray, Richard, Brenner, Hermann, Chang-Claude, Jenny, Trautwein, Christian, Pearson, Alexander T., Boor, Peter, Luedde, Tom, Gaisa, Nadine Therese, Hoffmeister, Michael, Kather, Jakob Nikolas

“…Microsatellite instability (MSI) and mismatch-repair deficiency (dMMR) in colorectal tumors are used to select treatment for patients. Deep learning can detect…”
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Multimodal deep learning: An improvement in prognostication or a reflection of batch effect? by Howard, Frederick M., Kather, Jakob Nikolas, Pearson, Alexander T.

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Classical mathematical models for prediction of response to chemotherapy and immunotherapy by Ghaffari Laleh, Narmin, Loeffler, Chiara Maria Lavinia, Grajek, Julia, Staňková, Kateřina, Pearson, Alexander T, Muti, Hannah Sophie, Trautwein, Christian, Enderling, Heiko, Poleszczuk, Jan, Kather, Jakob Nikolas

“…Classical mathematical models of tumor growth have shaped our understanding of cancer and have broad practical implications for treatment scheduling and…”
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A 2D Nanoradiosensitizer Enhances Radiotherapy and Delivers STING Agonists to Potentiate Cancer Immunotherapy by Luo, Taokun, Nash, Geoffrey T., Jiang, Xiaomin, Feng, Xuanyu, Mao, Jianming, Liu, Jianqiao, Juloori, Aditya, Pearson, Alexander T., Lin, Wenbin

“…Despite potent preclinical antitumor activity, activation of stimulator of interferon genes (STING) has shown modest therapeutic effects in clinical studies…”
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Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer by Howard, Frederick Matthew, Kochanny, Sara, Koshy, Matthew, Spiotto, Michael, Pearson, Alexander T

“…Postoperative chemoradiation is the standard of care for cancers with positive margins or extracapsular extension, but the benefit of chemotherapy is unclear…”
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Progress in treating inherited retinal diseases: Early subretinal gene therapy clinical trials and candidates for future initiatives by Garafalo, Alexandra V., Cideciyan, Artur V., Héon, Elise, Sheplock, Rebecca, Pearson, Alexander, WeiYang Yu, Caberry, Sumaroka, Alexander, Aguirre, Gustavo D., Jacobson, Samuel G.

“…Due to improved phenotyping and genetic characterization, the field of ‘incurable’ and ‘blinding’ inherited retinal diseases (IRDs) has moved substantially…”
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Deep learning applications in visual data for benign and malignant hematologic conditions: a systematic review and visual glossary by Srisuwananukorn, Andrew, Salama, Mohamed E, Pearson, Alexander T

“…Deep learning (DL) is a subdomain of artificial intelligence algorithms capable of automatically evaluating subtle graphical features to make highly accurate…”
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A mathematical model for IL-6-mediated, stem cell driven tumor growth and targeted treatment by Nazari, Fereshteh, Pearson, Alexander T, Nör, Jacques Eduardo, Jackson, Trachette L

“…Targeting key regulators of the cancer stem cell phenotype to overcome their critical influence on tumor growth is a promising new strategy for cancer…”
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Academics as leaders in the cancer artificial intelligence revolution by Kochanny, Sara E., Pearson, Alexander T.

“…The successful translation of artificial intelligence (AI) applications into clinical cancer care practice requires guidance by academic cancer researchers and…”
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Ovarian Carcinoma‐Associated Mesenchymal Stem Cells Arise from Tissue‐Specific Normal Stroma by Coffman, Lan G., Pearson, Alexander T., Frisbie, Leonard G., Freeman, Zachary, Christie, Elizabeth, Bowtell, David D., Buckanovich, Ronald J.

“…Carcinoma‐associated mesenchymal stem cells (CA‐MSCs) are critical stromal progenitor cells within the tumor microenvironment (TME). We previously demonstrated…”
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The emerging role of immune checkpoint inhibitors for the treatment of breast cancer by Howard, Frederick M, Villamar, Dario, He, Gong, Pearson, Alexander T, Nanda, Rita

“…Breast cancer has traditionally been viewed as immunogenically 'cold,' but two immune checkpoint inhibitors have been approved in combination with chemotherapy…”
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Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology by Dolezal, James M., Srisuwananukorn, Andrew, Karpeyev, Dmitry, Ramesh, Siddhi, Kochanny, Sara, Cody, Brittany, Mansfield, Aaron S., Rakshit, Sagar, Bansal, Radhika, Bois, Melanie C., Bungum, Aaron O., Schulte, Jefree J., Vokes, Everett E., Garassino, Marina Chiara, Husain, Aliya N., Pearson, Alexander T.

“…A model’s ability to express its own predictive uncertainty is an essential attribute for maintaining clinical user confidence as computational biomarkers are…”
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Mucoepidermoid Carcinoma: A Comparison of Histologic Grading Systems and Relationship to MAML2 Rearrangement and Prognosis by Cipriani, Nicole A, Lusardi, Jonathan J, McElherne, James, Pearson, Alexander T, Olivas, Andrea D, Fitzpatrick, Carrie, Lingen, Mark W, Blair, Elizabeth A

“…Mucoepidermoid carcinoma (MEC) is the most common salivary gland malignancy, but categorization is complicated by variability in grading systems and uncertain…”
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Machine learning can identify newly diagnosed patients with CLL at high risk of infection by Agius, Rudi, Brieghel, Christian, Andersen, Michael A., Pearson, Alexander T., Ledergerber, Bruno, Cozzi-Lepri, Alessandro, Louzoun, Yoram, Andersen, Christen L., Bergstedt, Jacob, von Stemann, Jakob H., Jørgensen, Mette, Tang, Man-Hung Eric, Fontes, Magnus, Bahlo, Jasmin, Herling, Carmen D., Hallek, Michael, Lundgren, Jens, MacPherson, Cameron Ross, Larsen, Jan, Niemann, Carsten U.

“…Infections have become the major cause of morbidity and mortality among patients with chronic lymphocytic leukemia (CLL) due to immune dysfunction and…”
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Is This the Dawn of Precision Oncology in Head and Neck Cancer? by Pearson, Alexander T, Vokes, Everett E

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