Ai Feedback
Exact(9)
This whole work, both the literature study and the establishment of various models led us to estimate different assumptions on the relationship between health and income.
Deterministic and stochastic models led us to focus on basal transcription to optimize circuit performance and helped to explain the resulting circuit robustness across a large range of component expression levels.
Animal experimental models led us to the notion that cancer risk might be "materially" reduced by supplementation with beta-carotene, a retinol precursor (1).
Indeed, site and branch-site models led us to detect the signature of positive selection acting on Regions 1 and 2 of ago-1b.
The highly prevalent exposures in humans and their broad hormonal activity in experimental models led us to hypothesize that they might impair fetal development.
The finding of an overall increase in the extractability of matrilin-3 and COMP by buffer 1 in all three PSACH-MED mouse models led us to consider that some of this protein could represent intracellular retained material.
Similar(50)
Both carcinogenesis and chemoprevention studies using rat models lead us to better understanding of esophageal adenocarcinoma and possible preventive strategies [ 18- 23].
The desire to maximize the size of the validation set to minimize the effects of noise in assessing the performance of the model led us to use an unusually small fraction of the available data to train the models – 10 to 30% instead of the typical 80 to 90%.
The best models lead us to hypothesize the preference for wider preictal periods.
Moreover, the fact that bone patterning differs at later regeneration stages in the two studied injury models lead us to investigate the hypothesis of prolonged bone repair (compare Fig. 5E with Fig. 5F).
The use of this IV model led us to identify, among several factors investigated, the effect of aging and that of inosine as significant in reducing inflammatory reactions, and therefore improving P. falciparum growth.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com