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AlphaFold2 and CryoEM: Revisiting CryoEM modeling in near-atomic resolution density maps
iScience, 2022 Summary: With the advent of new artificial intelligence and machine learning algorithms, predictive modeling can, in some cases, produce structures on par with experimental methods.
Corey F. Hryc, Matthew L. Baker
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Journal of Infection and Public Health, 2019 Background: Hepatitis C virus (HCV) infection is an important cause of morbidity and mortality in patients with chronic kidney disease (CKD). The objective of this study was to predict the impact of EBR/GZR on the incidence of liver and kidney related ...
Chizoba Nwankwo +2 more
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Energies, 2023 This work presents a perspective on deterministic predictive modeling methodologies, which aim at extracting best-estimate values for model responses and parameters along with reduced predicted uncertainties for these best-estimate values. The two oldest
Dan Gabriel Cacuci
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Prediction models in urology [PDF]
Nature Clinical Practice Urology, 2007 Predicting risk is an inherent feature of clinical practice. How likely is a man with a given PSA level to have prostate cancer? Can lymph node dissection be safely avoided in a patient with testicular cancer? Should chemotherapy be given after cystectomy for bladder cancer?
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Data-driven predictive modeling of FeCrAl oxidation
Materials Letters: X, 2023 FeCrAl alloys are among the most promising candidates for accident-tolerant fuel cladding material in light water nuclear reactors. Despite their high-temperature oxidation resistance in corrosive environments coupled with their hydrothermal corrosion ...
Indranil Roy +9 more
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Modelling: Predictive yield [PDF]
Nature, 2013 Farmers would benefit from better long-range weather forecasts. What else can science provide to help them decide what to plant?
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Connectome-Based Predictive Modeling of Creativity Anxiety
NeuroImage, 2021 While a recent upsurge in the application of neuroimaging methods to creative cognition has yielded encouraging progress toward understanding the neural underpinnings of creativity, the neural basis of barriers to creativity are as yet unexplored.
Zhiting Ren +10 more
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Predictive models in the brain [PDF]
Connection Science, 2009 Many neuroscientists view prediction as one of the core brain functions. However, there is little consensus as to the exact nature of predictive information and processes, or the neural mechanisms that realise them. This paper reviews a host of neural models believed to underlie the learning and deployment of predictive knowledge in a variety of brain ...
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Clinical prediction models [PDF]
British Journal of Surgery, 2016 Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations that relate multiple predictors (risk factors, co-variates) to the probability of having a disease or condition (diagnostic) or the probability that an event will happen in the future (prognostic).
Ranstam, J, Cook, J, Collins, G
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Predictive modeling in reproductive medicine
Reproductive and Developmental Medicine, 2018 The accurate prediction of fertility outcomes is an extremely interesting and challenging task in reproductive medicine. Efforts in this area focus on classic statistical models and newer technologies, including machine learning. The modeling process has
Jing Lin, Xiao-Xi Sun
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