Search Results - "STEARNS, FRANK"

One hundred years of pleiotropy: a retrospective by Stearns, Frank W

“…Pleiotropy is defined as the phenomenon in which a single locus affects two or more distinct phenotypic traits. The term was formally introduced into the…”
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In Memoriam: Herbert J. Eichel (1924–2017) a Passion for Discovery by Stearns, Frank M.

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Pyridine Nucleotide‐Linked Lactate Dehydrogenase of Tetrahymena: Evidence for D‐ and L‐Enzymes in the Mitochondria by Stearns, Frank M., Eichel, Herbert J.

“…An NAD‐linked lactate dehydrogenase (LDH) in a crude mitochondrial fraction obtained from Tetrahymena homogenates was previously reported by this laboratory…”
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Collateral fitness effects of mutations by Mehlhoff, Jacob D., Stearns, Frank W., Rohm, Dahlia, Wang, Buheng, Tsou, Erh-Yeh, Dutta, Nisita, Hsiao, Meng-Hsuan, Gonzalez, Courtney E., Rubin, Alan F., Ostermei, Marc

“…The distribution of fitness effects of mutation plays a central role in constraining protein evolution. The underlying mechanisms by which mutations lead to…”
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Fisher's geometric model predicts the effects of random mutations when tested in the wild by Stearns, Frank W., Fenster, Charles B.

“…Fisher's geometric model of adaptation (FGM) has been the conceptual foundation for studies investigating the genetic basis of adaptation since the onset of…”
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A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data by Ye, Chengyin, Wang, Oliver, Liu, Modi, Zheng, Le, Xia, Minjie, Hao, Shiying, Jin, Bo, Jin, Hua, Zhu, Chunqing, Huang, Chao Jung, Gao, Peng, Ellrodt, Gray, Brennan, Denny, Stearns, Frank, Sylvester, Karl G, Widen, Eric, McElhinney, Doff B, Ling, Xuefeng

“…The rapid deterioration observed in the condition of some hospitalized patients can be attributed to either disease progression or imperfect triage and level…”
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Risk prediction of emergency department revisit 30 days post discharge: a prospective study by Hao, Shiying, Jin, Bo, Shin, Andrew Young, Zhao, Yifan, Zhu, Chunqing, Li, Zhen, Hu, Zhongkai, Fu, Changlin, Ji, Jun, Wang, Yong, Zhao, Yingzhen, Dai, Dorothy, Culver, Devore S, Alfreds, Shaun T, Rogow, Todd, Stearns, Frank, Sylvester, Karl G, Widen, Eric, Ling, Xuefeng B

“…Among patients who are discharged from the Emergency Department (ED), about 3% return within 30 days. Revisits can be related to the nature of the disease,…”
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Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange by Hao, Shiying, Wang, Yue, Jin, Bo, Shin, Andrew Young, Zhu, Chunqing, Huang, Min, Zheng, Le, Luo, Jin, Hu, Zhongkai, Fu, Changlin, Dai, Dorothy, Wang, Yicheng, Culver, Devore S, Alfreds, Shaun T, Rogow, Todd, Stearns, Frank, Sylvester, Karl G, Widen, Eric, Ling, Xuefeng B

“…Identifying patients at risk of a 30-day readmission can help providers design interventions, and provide targeted care to improve clinical effectiveness. This…”
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The effect of induced mutations on quantitative traits in Arabidopsis thaliana: Natural versus artificial conditions by Stearns, Frank W., Fenster, Charles B.

“…Mutations are the ultimate source of all genetic variations. New mutations are expected to affect quantitative traits differently depending on the extent to…”
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Defining and characterizing the critical transition state prior to the type 2 diabetes disease by Jin, Bo, Liu, Rui, Hao, Shiying, Li, Zhen, Zhu, Chunqing, Zhou, Xin, Chen, Pei, Fu, Tianyun, Hu, Zhongkai, Wu, Qian, Liu, Wei, Liu, Daowei, Yu, Yunxian, Zhang, Yan, McElhinney, Doff B, Li, Yu-Ming, Culver, Devore S, Alfreds, Shaun T, Stearns, Frank, Sylvester, Karl G, Widen, Eric, Ling, Xuefeng B

“…Type 2 diabetes mellitus (T2DM), with increased risk of serious long-term complications, currently represents 8.3% of the adult population. We hypothesized…”
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Lipemic plasma: a renaissance by Vassallo, Ralph R., Stearns, Frank M.

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Evidence for parallel adaptation to climate across the natural range of Arabidopsis thaliana by Stearns, Frank W., Fenster, Charles B.

“…How organisms adapt to different climate habitats is a key question in evolutionary ecology and biological conservation. Species distributions are often…”
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Felsenstein’s “one-allele model” of speciation: The role of philopatry in the initial stages of host plant mediated reproductive isolation in Enchenopa binotata by Stearns, Frank W., Tilmon, Kelley J., Wood, Thomas K.

“…Abstract The study of speciation genetics is primarily concerned with identifying the genetic traits that allow divergent selection to overcome the…”
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Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning by Ye, Chengyin, Fu, Tianyun, Hao, Shiying, Zhang, Yan, Wang, Oliver, Jin, Bo, Xia, Minjie, Liu, Modi, Zhou, Xin, Wu, Qian, Guo, Yanting, Zhu, Chunqing, Li, Yu-Ming, Culver, Devore S, Alfreds, Shaun T, Stearns, Frank, Sylvester, Karl G, Widen, Eric, McElhinney, Doff, Ling, Xuefeng

“…As a high-prevalence health condition, hypertension is clinically costly, difficult to manage, and often leads to severe and life-threatening diseases such as…”
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Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm by Ye, Chengyin, Li, Jinmei, Hao, Shiying, Liu, Modi, Jin, Hua, Zheng, Le, Xia, Minjie, Jin, Bo, Zhu, Chunqing, Alfreds, Shaun T., Stearns, Frank, Kanov, Laura, Sylvester, Karl G., Widen, Eric, McElhinney, Doff, Ling, Xuefeng Bruce

“…•An EHR-based risk assessment tool was built to alarm older adults’ risk of fall.•Machine learning algorithms improved the accuracy of fall risk…”
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Fisher's geometric model predicts the effects of random mutations when tested in the wild: BRIEF COMMUNICATION by Stearns, Frank W., Fenster, Charles B.

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Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records by Zheng, Le, Wang, Oliver, Hao, Shiying, Ye, Chengyin, Liu, Modi, Xia, Minjie, Sabo, Alex N., Markovic, Liliana, Stearns, Frank, Kanov, Laura, Sylvester, Karl G., Widen, Eric, McElhinney, Doff B., Zhang, Wei, Liao, Jiayu, Ling, Xuefeng B.

“…Suicide is the tenth leading cause of death in the United States (US). An early-warning system (EWS) for suicide attempt could prove valuable for identifying…”
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Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine by Wang, Xiaofang, Zhang, Yan, Hao, Shiying, Zheng, Le, Liao, Jiayu, Ye, Chengyin, Xia, Minjie, Wang, Oliver, Liu, Modi, Weng, Ching Ho, Duong, Son Q, Jin, Bo, Alfreds, Shaun T, Stearns, Frank, Kanov, Laura, Sylvester, Karl G, Widen, Eric, McElhinney, Doff B, Ling, Xuefeng B

“…Lung cancer is the leading cause of cancer death worldwide. Early detection of individuals at risk of lung cancer is critical to reduce the mortality rate. The…”
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NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records by Wang, Yue, Luo, Jin, Hao, Shiying, Xu, Haihua, Shin, Andrew Young, Jin, Bo, Liu, Rui, Deng, Xiaohong, Wang, Lijuan, Zheng, Le, Zhao, Yifan, Zhu, Chunqing, Hu, Zhongkai, Fu, Changlin, Hao, Yanpeng, Zhao, Yingzhen, Jiang, Yunliang, Dai, Dorothy, Culver, Devore S, Alfreds, Shaun T, Todd, Rogow, Stearns, Frank, Sylvester, Karl G, Widen, Eric, Ling, Xuefeng B

“…Highlights • We proposed an algorithm that can find CHF cases from EMR and clinical notes. • Our NLP analytics prospectively identified 11.6% additional CHF…”
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Online Prediction of Health Care Utilization in the Next Six Months Based on Electronic Health Record Information: A Cohort and Validation Study by Hu, Zhongkai, Hao, Shiying, Jin, Bo, Shin, Andrew Young, Zhu, Chunqing, Huang, Min, Wang, Yue, Zheng, Le, Dai, Dorothy, Culver, Devore S, Alfreds, Shaun T, Rogow, Todd, Stearns, Frank, Sylvester, Karl G, Widen, Eric, Ling, Xuefeng

“…The increasing rate of health care expenditures in the United States has placed a significant burden on the nation's economy. Predicting future health care…”
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