Abstract Background Food flavor analysis 4.0, originating from Industry 4.0, combines
machine learning (ML) and food flavor analysis methods. Currently, food flavor analysis …

Artificial intelligence (AI) platforms have emerged as pivotal tools in genetics and molecular
medicine, as in many other fields. The growth in patient data, identification of new diseases …

Aspirin resistance (AR) is a pressing problem in current ischemic stroke care. Although the
role of genetic variations is widely considered, the data still remain controversial. Our aim …

Computational methods have gained prominence in healthcare research. The accessibility
of healthcare data has greatly incited academicians and researchers to develop executions …

Background The integration of artificial intelligence (AI) with nuclear magnetic resonance
(NMR) spectroscopy is emerging as a transformative approach in food component analysis …

The accurate diagnosis of neuromuscular diseases (NMD) is in many cases difficult; the
starting point is the clinical approach based on the course of the disease and a careful …

Hypertrophic cardiomyopathy (HCM) is a relatively common inherited cardiac disease that
results in left ventricular hypertrophy. Machine learning uses algorithms to study patterns in …

Personalized medicine, an approach to care in which individual characteristics are used for
targeting interventions and maximizing health outcomes, is rapidly becoming a reality for …

Clopidogrel is widely used worldwide as an antiplatelet therapy in patients with acute
coronary disease. Genetic factors influence interindividual variability in response. Some …

Pharmacogenetic studies the influence of inherited characteristics on medication. While
different from pharmacogenomics, which is a study of the entire genome in relation to …