Page 10 - Random Forest News Today

Multiple neurodegenerative disorders harbor similar fundamental dysfunctional cellular processes.

Cellular alterations in six different neurodegenerative diseases may have common origins in a series of common processes, according to new research.

A perplexing range of neurodegenerative diseases are known to attack distinct regions of the brain, causing severe cognitive and motor deficit.

COVID-19 and its latest Omicron strains continue to cause infections across the country as well as globally. Serology (blood) and molecular tests are the two most commonly used methods for rapid COVID-19 testing.

Infants portray suggestive unique cries while sick, having belly pain, discomfort, tiredness, attention and desire for a change of diapers among other needs. There exists limited knowledge in accessing the infants’ needs as they only relay information through suggestive cries. Many teenagers tend to give birth at an early age, thereby exposing them to be the key monitors of their own babies. They tend not to have sufficient skills in monitoring the infant’s dire needs, more so during the ear...

Falls are a major problem associated with ageing. Yet, fall-risk classification models identifying older adults at risk are lacking. Current screening tools show limited predictive validity to differentiate between a low- and high-risk of falling. This study aims at identifying risk factors associated with higher risk of falling by means of a quality-of-life questionnaire incorporating biological, behavioural, environmental and socio-economic factors. These insights can aid the development of a ...

Artificial intelligence is being used by researchers at the Department of Physical Education’s Human Movement Laboratory (Movi-Lab) at São Paulo State University (UNESP) in Bauru, Brazil, to assist in the diagnosis and prediction of the progression of Parkinson's disease.

Scientists are using artificial intelligence to help identify cases of Parkinson’s disease and estimate its progression by analyzing spatial and temporal gait parameters.

Asset owners don’t need to be machine learning experts to tell which managers are the real deal.

This paper analyses commercial banking and shadow banking, with the intention of understanding different channels of instability that can occur through both types of banking for the United States. The work is pioneering a comprehensive vision of shadow banking and its interrelation with commercial banking. The results of the work are designed to encourage reflection on possible mediums to promote the stability of shadow banking, through new risk indicators. Finally, these indicators are tested u...