Background/purpose Social media (SM) has become an indispensable tool in healthcare, providing platforms for networking and ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

Elvis Picardo is a regular contributor to Investopedia and has 25+ years of experience as a portfolio manager with diverse capital markets experience. Yarilet Perez is an experienced multimedia ...

Non-Profit Community Organization Employees: Registration fee: $35/workshop. Register for all 4 workshops and receive a discounted rate of $105 total. For-Profit Business Organizations Employees: ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

During this symposium, leading international epileptologists discussed the key challenges and opportunities that currently ...

Learning and memory refers to the processes of acquiring, retaining and retrieving information in the central nervous system. It consists of forming stable long-term memories that include declarative ...

Fossil fuels and the climate change they cause are worsening extreme weather events that disrupt global food supply chains ...