Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …

The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …

A medical analysis of diagnosing rare genetic diseases has rapidly become the most
expensive and time-consuming component for doctors. By combining predictive methods …

Data mining is the discovery of meaningful information or unrevealed patterns in data.
Traditional data‐mining approaches, using statistical calculations, machine learning …

Dictionary-based classifiers are an essential group of approaches in the field of time series
classification. Their distinctive characteristic is that they transform time series into segments …

Genetic variants underlying life-threatening diseases, being unlikely to be transmitted to the
next generation, are gradually and selectively eliminated from the population through …

A genetic disorder is a serious disease that affects a large number of individuals around the
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …

Introduction Current findings on multifactorial diseases with a complex pathomechanism
confirm that multi-target drugs are more efficient ways in treating them as opposed to single …

Personalized medicine is a concept that has been subject of increasing interest in medical
research and practice in the last few years. However, significant challenges stand in the way …

Identifying genes related to Parkinson's disease (PD) is an active research topic in
biomedical analysis, which plays a critical role in diagnosis and treatment. Recently, many …