BMIgap: a new tool to quantify transdiagnostic brain signatures of current and future weight.

Understanding the neurobiological underpinnings of weight gain could reduce excess mortality and improve long-term trajectories of psychiatric disorders. We used support-vector machines and whole-brain voxel-wise grey matter volume to generate and validate a BMI predictor in healthy individuals (N = 1504) and applied it to individuals with schizophrenia (SCZ,N = 146), clinical high-risk states for psychosis (CHR,N = 213) and recent-onset depression (ROD,N = 200). We computed BMIgap (BMI-BMI), interrogated its brain-level overlaps with SCZ and explored whether BMIgap predicted weight gain at 1- and 2-year follow-up.

Machine Learning Model for Predicting Walking Ability in Lower Limb Amputees.

: The number of individuals with lower limb loss (LLL) is rising. Therefore, identifying the walking potential in individuals with LLL and prescribing adequate prosthetic systems are crucial. Various factors can influence participants' walking ability, to different extents.

Impact of global environmental changes on the range contraction of Eurasian moose since the Late Pleistocene.

Climatic oscillations are considered primary factors influencing the distribution of various life forms on Earth. Large species adapted to cold climates are particularly vulnerable to extinction due to climate changes. In our study, we investigated whether temperature increase since the Late Pleistocene and the contraction of environmental niche during the Holocene were the main factors contributing to the decreasing range of moose (Alces alces) in Europe.

Using Behavior Integration to Identify Barriers and Motivators for COVID-19 Vaccination and Build a Vaccine Demand and Confidence Strategy in Southeastern Europe.

The COVID-19 pandemic has significantly impacted global health, with Eastern Europe experiencing notable excess morbidity and mortality and vaccine hesitancy. This study utilized the Behavior Integration (BI) framework to identify barriers and motivators for COVID-19 vaccination and develop strategies to increase vaccine demand and confidence in Moldova, North Macedonia, and Serbia. A mixed-methods approach was employed, including qualitative interviews and quantitative surveys.