Latest AI and machine learning research in risk management for healthcare professionals.
In a search for new anti-HIV-1 chemotypes, we developed a multistep ligand-based virtual screening (...
Abnormal connectivity patterns have frequently been reported as involved in pathological mental stat...
BACKGROUND: At present there is no agreement on a common evaluation protocol to assess improvement i...
Position-sensitive positron cameras using silicon pixel detectors have been applied for some preclin...
There are multiple reasons for reduced fertility in lactating dairy cows. We hypothesized that one c...
The study objective was to apply machine learning methodologies to identify predictors of remission ...
Many stroke patients are expected to rehabilitate at home, which limits their access to proper rehab...
High Throughput Screening (HTS) is a common approach in life sciences to discover chemical matter th...
In the present work, the response surface methodology (RSM) based on a central composite rotatable d...
Molecular docking, despite its undeniable usefulness in computer-aided drug design protocols and the...
Regaining one's ability to walk is of great importance for neurological patients and is a major goal...
In recent years, research on vehicle network location service has begun to focus on its intelligence...
Chlorophyll-a (Chl-a) is a direct indicator used to evaluate the ecological state of a waterbody, su...
The development of an innovative functional assessment procedure based on the combination of electro...
According to the crowd within effect, the average of two estimates from one person tends to be more ...
Our study evaluated whether a deep learning auto segmentation model combined with machine learning t...
Introduction Obstructive lung diseases (OLDs) are responsible for high rates of illness and death wo...
Andes orthohantavirus (ANDV), the primary etiological agent of hantavirus pulmonary syndrome (HPS) i...
Background & Aims: Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) is the leading c...
In an era dominated by big data and machine learning, establishing valuable data collaboration has n...
Background: Accurate extraction of Human Phenotype Ontology (HPO) terms from clinical notes is essen...