Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data von Shao, Wei, Luo, Xiao, Zhang, Zuoyi, Han, Zhi, Chandrasekaran, Vasu, Turzhitsky, Vladimir, Bali, Vishal, Roberts, Anna R, Metzger, Megan, Baker, Jarod, La Rosa, Carmen, Weaver, Jessica, Dexter, Paul, Huang, Kun

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Innovation at the Intersection of Clinical Trials and Real‐World Data Science to Advance Patient Care von Swift, Brandon, Jain, Lokesh, White, Craig, Chandrasekaran, Vasu, Bhandari, Aman, Hughes, Dyfrig A., Jadhav, Pravin R.

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Recent Estimates of the Structure of the Factor VIIa (FVIIa)/Tissue Factor (TF) and Factor Xa (FXa) Ternary Complex von Lee, Chang Jun, Chandrasekaran, Vasu, Wu, Sangwook, Duke, Robert E, Pedersen, Lee G

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Predicting dementia with routine care EMR data von Ben Miled, Zina, Haas, Kyle, Black, Christopher M., Khandker, Rezaul Karim, Chandrasekaran, Vasu, Lipton, Richard, Boustani, Malaz A.

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Comparison of real-world mortality data among patients with glioblastoma (GBM) and metastatic pancreatic cancer (mPC) treated in the community oncology setting von Cosgrove, David, Aguilar, Kathleen, Wang, Yunfei, Sykes, Charles, Reinwald, Sarah, Kubisiak, Emily, Su, Zhaohui, Chandrasekaran, Vasu, Stees, Larisa, Iyer, Rupa, Robert, Nicholas J.

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Sequence- and target-independent angiogenesis suppression by siRNA via TLR3 von Ambati, Jayakrishna, Kleinman, Mark E, Yamada, Kiyoshi, Takeda, Atsunobu, Chandrasekaran, Vasu, Nozaki, Miho, Baffi, Judit Z, Albuquerque, Romulo J. C, Yamasaki, Satoshi, Itaya, Masahiro, Pan, Yuzhen, Appukuttan, Binoy, Gibbs, Daniel, Yang, Zhenglin, Karikó, Katalin, Ambati, Balamurali K, Wilgus, Traci A, DiPietro, Luisa A, Sakurai, Eiji, Zhang, Kang, Smith, Justine R, Taylor, Ethan W

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Applying interpretable deep learning models to identify chronic cough patients using EHR data von Luo, Xiao, Gandhi, Priyanka, Zhang, Zuoyi, Shao, Wei, Han, Zhi, Chandrasekaran, Vasu, Turzhitsky, Vladimir, Bali, Vishal, Roberts, Anna R., Metzger, Megan, Baker, Jarod, La Rosa, Carmen, Weaver, Jessica, Dexter, Paul, Huang, Kun

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Passive Digital Signature for Early Identification of Alzheimer's Disease and Related Dementia von Boustani, Malaz, Perkins, Anthony J., Khandker, Rezaul Karim, Duong, Stephen, Dexter, Paul R., Lipton, Richard, Black, Christopher M., Chandrasekaran, Vasu, Solid, Craig A., Monahan, Patrick

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Comparing Machine Learning Models for Identifying Chronic Cough Using Diagnosis and Medication in the Electronic Health Records von Bali, Vishal, Luo, Xiao, Gandhi, Priyanka, Zhang, Zuoyi, Shao, Wei, Han, Zhi, Chandrasekaran, Vasu, Turzhitsky, Vladimir, Roberts, Anna, Metzger, Megan, Baker, Jarod, La Rosa, Carmen, Weaver, Jessica, Dexter, Paul, Huang, Kun

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Targeting Bacterial Cell Wall Peptidoglycan Synthesis by Inhibition of Glycosyltransferase Activity von Mesleh, Michael F., Rajaratnam, Premraj, Conrad, Mary, Chandrasekaran, Vasu, Liu, Christopher M., Pandya, Bhaumik A., Hwang, You Seok, Rye, Peter T., Muldoon, Craig, Becker, Bernd, Zuegg, Johannes, Meutermans, Wim, Moy, Terence I.

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Molecular modeling of the oxidized form of nuclear factor-κB suggests a mechanism for redox regulation of DNA binding and transcriptional activation von Chandrasekaran, Vasu, Taylor, Ethan Will

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Recent Estimates of the Structure of the Factor VIIa (FVIIa)/Tissue Factor (TF) and Factor Xa (FXa) Ternary Complex: Factor VIIA and Tissue Factor: from Cell Biology to Animal Mode... von CHANG JUN LEE, CHANDRASEKARAN, Vasu, SANGWOOK WU, DUKE, Robert E, PEDERSEN, Lee G

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Molecular docking and analysis of interactions between vascular endothelial growth factor (VEGF) and SPARC protein von Chandrasekaran, Vasu, Ambati, Jayakrishna, Ambati, Balamurali K., Taylor, Ethan Will

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Computational study of the putative active form of protein Z (PZa): Sequence design and structural modeling von Chandrasekaran, Vasu, Lee, Chang Jun, Duke, Robert E., Perera, Lalith, Pedersen, Lee G.

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Free Energy Correction to Rigid Body Docking : Application to the Colicin E7 and Im7 Complex von Wu, Sangwook, Chandrasekaran, Vasu, Pedersen, Lee G.

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