Heterogeneity of lung tumor endothelial cell (TEC) phenotypes across patients, species (human/mouse),
and models (in vivo/in vitro) remains poorly inventoried at the single-cell level. …

In a typical supervised data analysis task, one needs to perform the following two tasks: (a)
select an optimal combination of learning methods (eg, for variable selection and classifier) …

The statistically equivalent signature (SES) algorithm is a method for feature selection
inspired by the principles of constrained-based learning of Bayesian Networks. Most of the …

Cancer cell metabolism has received increasing attention. Despite a boost in the application
of clinical metabolic profiling ( CMP ) in cancer patients, a meta‐analysis has not been …

Fully automated machine learning (AutoML) for predictive modeling is becoming a reality,
giving rise to a whole new field. We present the basic ideas and principles of Just Add Data …

The association between IGF‐1 levels and mortality in humans is complex with low levels
being associated with both low and high mortality. The present meta‐analysis investigates this …

A dramatic disorder tentatively attributed to diencephalic-hypothalamic damage or dysfunction,
dysautonomia, affects recovery from brain injury. Its incidence, correlation with etiology, …

Aim To derive and validate a set of computational models able to assess the risk of developing
complications and experiencing adverse events for patients with diabetes. The models …

This work presents a systematic review of long-term risk assessment models for evaluating
the probability of developing complications in diabetes patients. Diabetes mellitus can cause …

Frailty is a physiological state characterized by the deregulation of multiple physiologic
systems of an aging organism determining the loss of homeostatic capacity, which exposes the …