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New process considers numerous coronavirus models to reduce uncertainty(图)
New process numerous coronavirus models uncertainty
2020/5/15
With so many COVID-19 models being developed, how do policymakers know which ones to use?A new process to harness multiple disease models for outbreak management has been developed by a team of resear...
National Science Foundation-funded scientists developing more accurate statistical models of COVID-19(图)
National Science Foundation funded scientists developing accurate statistical models COVID-19
2020/5/9
Armed with a rapid response research grant from the National Science Foundation, University of Oregon biologist Stilianos Louca and his colleagues are mining public databases for genomi...
2017罕见和未诊断的疾病 Keystone Symposia(2017 Keystone Symposia on Rare and Undiagnosed Diseases: Discovery and Models of Precision Therapy)
Genome Sequencing Mendelian Disease Gene Discovery
2017/1/13
The meeting will begin on Sunday, March 5 with registration from 16:00 to 20:00 and a welcome mixer from 18:00 to 20:00. Conference events conclude on Wednesday, March 8 with a closing plenary session...
Penn Study Models How the Immune System Might Evolve to Conquer HIV
Penn Study Models Immune System HIV
2016/8/1
It has remained frustratingly difficult to develop a vaccine for HIV/AIDS, in part because the virus, once in our bodies, rapidly reproduces and evolves to escape being killed by the immune system.“Th...
Calibration and validation of an air-displacement plethysmography method for estimating percentage body fat in an elderly population: a comparison among compartmental models
Body composition elderly men
2016/6/14
The use of hydrostatic weighing (HW) to measure
body composition in the elderly can be difficult and is based on
the assumption of constancy of body compartments.
Four-component model of body composition in children: density and hydration of fat-free mass and comparison with simpler models
Body fat dual-energy X-ray absorptiometry total body water
2016/5/31
Body composition in children is generally measured
by 2-component (2C) models, which are subject to error
arising from variation in fat-free mass (FFM) composition. The
4-component (4C) model, whic...
Factors Associated With Serum Albumin in Diabetes Mellitus Type 2 With Microalbuminuria Using Non-Normal Mixed Models: A Prospective Cohort Study
Serum Albumin Diabetes Mellitus Type 2 Risk Factors
2016/1/26
Background: The globally increasing epidemic of diabetes will lead to serious problems including diabetic nephropathy and kidney diseases in near future. The first clinical diagnosable stage in a diab...
THERAPEUTIC IMPLICATIONS OF COMPUTER MODELS OF BRAIN ACTIVITY FOR ALZHEIMER DISEASE
COMPUTER MODELS
2015/7/31
Neural models of large-scale brain processes help to explain many features of neuropsychological syndromes and psychiatric disease. Two associative memory models useful to understand some aspects of c...
Studies of the categorical perception (CP) of sensory continua have a long and rich history in
psychophysics. In 1977, Macmillan et al. introduced the use of signal detection theory to CP
studies. A...
Reconciling Predictive Coding and Biased Competition Models of Cortical Function
neural networks cortical circuits cortical feedback biased competition predictive coding
2015/7/29
A simple variation of the standard biased competition model is shown, via some trivial mathematical manipulations, to be identical to predictive coding. Specifically, it is shown that a particular imp...
Punctuated equilibrium in statistical models of generalized coevolutionary resilience: How sudden ecosystem transitions can entrain both phenotype expression and Darwinian selection
coevolution cognitive paradigm gene expression information theory
2015/7/29
We argue, using a mathematical model based on asymptotic limit theorems of probability theory, that mesoscale ecosystem resilience shifts can entrain punctuated events of gene expression and other cog...
Joint models for longitudinal and survival data
joint models longitudinal data survival data bivariate change point models prediction Bayesian method EM algorithm
2015/5/21
Epidemiologic and clinical studies routinely collect longitudinal measures of multiple outcomes. These longitudinal outcomes can be used to establish the temporal order of relevant biological processe...
Variable selection and structural discovery in joint models of longitudinal and survival data
Joint models Mixed effect selection Structural discovery Adaptive LASSO Gaussian quadrature EM algorithm
2015/5/21
Joint models of longitudinal and survival outcomes have been used with increasing frequency in clinical investigations. Correct specification of fixed and random effects, as well as their functional f...
NEUROPROTECTIVE STUDIES ON THE MPTP AND SOD1 MOUSE MODELS OF NEURODEGENERATIVE DISEASES
ALS MPTP SOD1 neurodegeneration
2015/5/21
The main, underlying cause of neurodegenerative disease is the progressive loss of neuronal structure or function, whereby central and/or peripheral nervous system circuitry is severely and irreversib...