Intense research efforts aim now to find multiple biomarkers to detect PD as early as possible and to distinguish it from other parkinsonisms. Although this evaluative review sum- marises research that takes the field ahead, given the abun- dant research it inevitably leaves some studies ...
resulting in an increase in circulating 2-AG, leading to the feed-forward cycle described above. Another study did not find a significant relationship between adipose FAAH activity and
However, this has proved to be an arduous task and to date there are few clear, reliable, variables that can be used in daily practice to allow prediction of response to MTX or other DMARDs [14–19]. While predictors of poor RA prognosis are well established [20,21], they do not acc...
Being able to predict response to first-line DMARDs, has been one of the main challenges in RA management for over two decades [12] and it is a good example of the increasingly appealing concept of personalized therapy, that is, choosing the drug of most benefit for a particular patient. ...
Using this network, we calculated the weighted degree centrality of each node (Equation (2)) to identify potential community leaders, who should have high degree centrality as well as high well-being scores. To find out who can help those with poor well-being, we calculated the "support ...
However, current studies that are devoted to discovering potential TOD areas remain scarce. In this study, we find that random forest (RF) is an optimal algorithm that can effectively identify potential TOD regions in Hong Kong. We propose an RF-mediated machine learning model (RF-TPI model) ...