Search Results - "Ta, Casey N."

Hollow silica and silica-boron nano/microparticles for contrast-enhanced ultrasound to detect small tumors by Liberman, Alexander, Martinez, H. Paul, Ta, Casey N, Barback, Christopher V, Mattrey, Robert F, Kono, Yuko, Blair, Sarah L, Trogler, William C, Kummel, Andrew C, Wu, Zhe

“…Abstract Diagnosing tumors at an early stage when they are easily curable and may not require systemic chemotherapy remains a challenge to clinicians. In order…”
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2-Tier In-Plane Motion Correction and Out-of-Plane Motion Filtering for Contrast-Enhanced Ultrasound by Ta, Casey N, Eghtedari, Mohammad, Mattrey, Robert F, Kono, Yuko, Kummel, Andrew C

“…OBJECTIVESContrast-enhanced ultrasound (CEUS) cines of focal liver lesions (FLLs) can be quantitatively analyzed to measure tumor perfusion on a pixel-by-pixel…”
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Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records by Ta, Casey N, Zucker, Jason E, Chiu, Po-Hsiang, Fang, Yilu, Natarajan, Karthik, Weng, Chunhua

“…To identify and characterize clinical subgroups of hospitalized Coronavirus Disease 2019 (COVID-19) patients. Electronic health records of hospitalized…”
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Applying unsupervised machine learning approaches to characterize autologous breast reconstruction patient subgroups: an NSQIP analysis of 14,274 patients by Kim, Dylan K., Corpuz, George S., Ta, Casey N., Weng, Chunhua, Rohde, Christine H.

“…Autologous breast reconstruction is composed of diverse techniques and results in a variety of outcome trajectories. We propose employing an unsupervised…”
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Focal Liver Lesions: Computer-aided Diagnosis by Using Contrast-enhanced US Cine Recordings by Ta, Casey N, Kono, Yuko, Eghtedari, Mohammad, Oh, Young Taik, Robbin, Michelle L, Barr, Richard G, Kummel, Andrew C, Mattrey, Robert F

“…Purpose To assess the performance of computer-aided diagnosis (CAD) systems and to determine the dominant ultrasonographic (US) features when classifying…”
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DQueST: dynamic questionnaire for search of clinical trials by Liu, Cong, Yuan, Chi, Butler, Alex M, Carvajal, Richard D, Li, Ziran Ryan, Ta, Casey N, Weng, Chunhua

“…Abstract Objective Information overload remains a challenge for patients seeking clinical trials. We present a novel system (DQueST) that reduces information…”
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From clinical trials to clinical practice: How long are drugs tested and then used by patients? by Yuan, Chi, Ryan, Patrick B, Ta, Casey N, Kim, Jae Hyun, Li, Ziran, Weng, Chunhua

“…Abstract Objective Evidence is scarce regarding the safety of long-term drug use, especially for drugs treating chronic diseases. To bridge this knowledge gap,…”
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Columbia Open Health Data, clinical concept prevalence and co-occurrence from electronic health records by Ta, Casey N., Dumontier, Michel, Hripcsak, George, Tatonetti, Nicholas P., Weng, Chunhua

“…Columbia Open Health Data (COHD) is a publicly accessible database of electronic health record (EHR) prevalence and co-occurrence frequencies between…”
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Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria’s impact on patient count and safety by Rogers, James R., Pavisic, Jovana, Ta, Casey N., Liu, Cong, Soroush, Ali, Kuen Cheung, Ying, Hripcsak, George, Weng, Chunhua

“…[Display omitted] •This study presents an approach for helping select trial eligibility criteria.•It informs criteria’s impact on recruitment pool size and…”
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OARD: Open annotations for rare diseases and their phenotypes based on real-world data by Liu, Cong, Ta, Casey N., Havrilla, Jim M., Nestor, Jordan G., Spotnitz, Matthew E., Geneslaw, Andrew S., Hu, Yu, Chung, Wendy K., Wang, Kai, Weng, Chunhua

“…Diagnosis for rare genetic diseases often relies on phenotype-driven methods, which hinge on the accuracy and completeness of the rare disease phenotypes in…”
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Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials by Kim, Jae Hyun, Ta, Casey N, Liu, Cong, Sung, Cynthia, Butler, Alex M, Stewart, Latoya A, Ena, Lyudmila, Rogers, James R, Lee, Junghwan, Ostropolets, Anna, Ryan, Patrick B, Liu, Hao, Lee, Shing M, Elkind, Mitchell S V, Weng, Chunhua

“…This research aims to evaluate the impact of eligibility criteria on recruitment and observable clinical outcomes of COVID-19 clinical trials using electronic…”
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The potential role of EHR data in optimizing eligibility criteria definition for cardiovascular outcome trials by Kim, Jae Hyun, Butler, Alex M., Ta, Casey N., Sun, Yingcheng, Maurer, Mathew S., Weng, Chunhua

“…[Display omitted] Cardiovascular outcome trials (CVOTs) include patients with high risks for cardiovascular events based on specific inclusion criteria. Little…”
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Ensembles of natural language processing systems for portable phenotyping solutions by Liu, Cong, Ta, Casey N., Rogers, James R., Li, Ziran, Lee, Junghwan, Butler, Alex M., Shang, Ning, Kury, Fabricio Sampaio Peres, Wang, Liwei, Shen, Feichen, Liu, Hongfang, Ena, Lyudmila, Friedman, Carol, Weng, Chunhua

“…[Display omitted] •Ensembles of natural language processing can improve phenotypic concept recognition.•A simple majority voting-based ensemble can increase…”
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Extended Lifetime In Vivo Pulse Stimulated Ultrasound Imaging by Wang, James, Barback, Christopher V., Ta, Casey N., Weeks, Joi, Gude, Natalie, Mattrey, Robert F., Blair, Sarah L., Trogler, William C., Lee, Hotaik, Kummel, Andrew C.

“…An on-demand long-lived ultrasound contrast agent that can be activated with single pulse stimulated imaging (SPSI) has been developed using hard shell liquid…”
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Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network by Shang, Ning, Liu, Cong, Rasmussen, Luke V., Ta, Casey N., Caroll, Robert J., Benoit, Barbara, Lingren, Todd, Dikilitas, Ozan, Mentch, Frank D., Carrell, David S., Wei, Wei-Qi, Luo, Yuan, Gainer, Vivian S., Kullo, Iftikhar J., Pacheco, Jennifer A., Hakonarson, Hakon, Walunas, Theresa L., Denny, Joshua C., Wiley, Ken, Murphy, Shawn N., Hripcsak, George, Weng, Chunhua

“…[Display omitted] •Developed a novel method to quantify the portability of phenotype algorithms•Uncovered substantial phenotype implementation efforts across…”
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A machine learning approach to identifying delirium from electronic health records by Kim, Jae Hyun, Hua, May, Whittington, Robert A, Lee, Junghwan, Liu, Cong, Ta, Casey N, Marcantonio, Edward R, Goldberg, Terry E, Weng, Chunhua

“…The identification of delirium in electronic health records (EHRs) remains difficult due to inadequate assessment or under-documentation. The purpose of this…”
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Ultrasound Responsive Macrophase-Segregated Microcomposite Films for in Vivo Biosensing by Yang, Jian, Wang, James, Ta, Casey N, Ward, Erin, Barback, Christopher V, Sung, Tsai-Wen, Mendez, Natalie, Blair, Sarah L, Kummel, Andrew C, Trogler, William C

“…Ultrasound imaging is a safe, low-cost, and in situ method for detecting in vivo medical devices. A poly­(methyl-2-cyanoacrylate) film containing 2 μm…”
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Mini-mental status examination phenotyping for Alzheimer’s disease patients using both structured and narrative electronic health record features by Idnay, Betina, Zhang, Gongbo, Chen, Fangyi, Ta, Casey N, Schelke, Matthew W, Marder, Karen, Weng, Chunhua

“…Abstract Objective This study aims to automate the prediction of Mini-Mental State Examination (MMSE) scores, a widely adopted standard for cognitive…”
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53844 Clusters with Luster: Application of Unsupervised Machine Learning Pipeline and Subgroup Analysis for CTCL Patients Prior to Diagnosis by Gordon, Emily R., Ta, Casey N., Liu, Cong, Trager, Megan H., Schreidah, Celine M., Adeuyan, Oluwaseyi, Fahmy, Lauren M., Weng, Chunhua, Geskin, Larisa J.

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Quantitative Automated Image Analysis System with Automated Debris Filtering for the Detection of Breast Carcinoma Cells by Martin, David T., Sandoval, Sergio, Ta, Casey N., Ruidiaz, Manuel E., Cortes-Mateos, Maria Jose, Messmer, Davorka, Kummel, Andrew C., Blair, Sarah L., Wang-Rodriguez, Jessica

“…Objective: To develop an intraoperative method for margin status evaluation during breast conservation therapy (BCT) using an automated analysis of imprint…”
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