ライフサイエンスコーパス: we developed a @2 model

1 We developed a 16-item model.

2 We developed a baboon model for IUGR studies using a moderate

3 We developed a compartmental model of TB in NYC, parameterize

4 We developed a computational model of spinal circuits consist

5 We developed a computational model that predicts the time cou

6 We developed a CRAF-mediated model of vemurafenib resistance

7 We developed a derivation model to determine the relative inf

8 We developed a first-principles model describing cumulative i

9 We developed a linear mechanical model with a planarian repre

10 We developed a linear model with six parameters that can pred

11 We developed a mathematical model that captures the behaviour

12 We developed a mathematical model to evaluate the added benef

13 We developed a multiscale model of fibrinolysis that includes

14 We developed a multiscale spatiotemporal model for the intera

15 We developed a new prediction model, PREMM5, that incorporate

16 We developed a novel mathematical model explicitly considerin

17 We developed a novel model of cancer-induced BTP using female

18 We developed a pharmacophore model and used the putative bioa

19 We developed a phylo-epigenetic model for DNA methylation tha

20 We developed a risk model based on widely available clinical

21 We developed a simple model that explains both dissipative an

22 We developed a thermodynamic model of water temperatures driv

23 We developed a transmission-dynamic model on a dynamic networ

24 We developed a water outlook model that projects water use fo

25 Accordingly, we developed a mathematical model to describe the dynamic cou

26 Additionally, we developed a mathematical model, parameterized by cell viab

27 METHODS AND We developed a dynamic transmission model of multi-strain TB

28 METHODS AND We developed a stochastic compartmental model representing th

29 concentrations and their activities reported in HTS assays, we developed a probabilistic model for estimating cumulative

30 In conclusion, we developed a novel mouse model of PBC that may help to eluc

31 o study the role of neutrophils in LPS-induced endotoxemia, we developed a new mouse model, PMN(DTR) mice, in which injec

32 Finally, we developed a supervised classification model, which achieve

33 To test whether birds forecast, we developed a movement model, calculated to what extent depa

34 Here, we developed a mouse model to study forelimb adaptation to fo

35 Here, we developed a novel model to test the hypothesis that cell-t

36 To test this hypothesis, we developed a mathematical model that was constrained by exp

37 tients with HIV to calculate the natural course of illness, we developed a lifetime Markov model to estimate the primary

38 To explore this mechanism, we developed a Drosophila SCA5 model in which an equivalent m

39 he molecular mechanisms mediating neuroblastoma metastasis, we developed a mouse model using intracardiac injection and i

40 From these metrics, we developed a mathematical model of cancer biomarker kinetic

41 lated thalamus can generate multiple distinct oscillations, we developed a biophysical thalamic model to test the hypothe

42 ncy (UPI) increases severity of retinopathy of prematurity, we developed a composite rat model of UPI and oxygen-fluctuat

43 Previously, we developed a biophysically-based model of a binaural brains

44 Previously, we developed a Markov model based on the presence of one IVM

45 he importance of the raft environment on prion propagation, we developed a novel model for prion infection where cells ex

46 To investigate this, we developed a mathematical model of the adrenal steroidogeni

47 o inform policy makers about the value of these treatments, we developed a Markov model to compare the cost-effectiveness

48 Using economic and demographic variables, we developed a conceptual model for predicting fire in human-

49 ships of Hsp21 and understanding these sequence variations, we developed a structural model of Hsp21 based on homology mo

50 To identify unknown vectors of Zika, we developed a data-driven model linking vector species and t