Latest AI and machine learning research in prescriptions for healthcare professionals.
Predicting drug-target interaction (DTI) is of great importance for drug discovery and development. ...
Finger dexterity, and finger individuation in particular, is crucial for human movement, and disrupt...
Age and aging are important predictors of health status, disease progression, drug kinetics, and eff...
BACKGROUND: A high prevalence of disorders of gut-brain interaction (DGBI) exist in patients with hy...
The complexities inherent in drug development are multi-faceted and often hamper accuracy, speed and...
Artificial intelligence (AI) based treatment planning tools are being implemented in clinic. However...
Accurate prediction of anticancer drug responses is essential for developing personalized treatment ...
Fluorouracil-based chemotherapy responses in colorectal cancer (CRC) patients vary widely, highlight...
The study of protein-protein interactions (PPIs) provides insight into various biological mechanisms...
MicroRNAs (miRs) are short, noncoding RNA strands that regulate the activity of mRNAs by affecting t...
In the drug discovery process, accurate prediction of drug-target interactions is crucial to acceler...
Exploring protein-protein interaction sites (PPIS) is of significance to elucidating the intrinsic m...
Drug delivery systems efficiently and safely administer therapeutic agents to specific body sites. L...
BACKGROUND: Clinical trials demonstrate the efficacy and tolerability of medications targeting calci...
Proteins interact with each other in complex ways to perform significant biological functions. These...
. Accurate and timely prediction of epileptic seizures is crucial for empowering patients to mitigat...
BACE1 has been regarded as an essential drug design target for treating Alzheimer's disease (AD). Mu...
The human interleukin-1 receptor I (IL-1R1) is a cytokine receptor recognized by interleukin 1β (IL-...
Tuberculosis disease (TB), caused by Mycobacterium tuberculosis (Mtb), is a major global public heal...
Structure-based machine learning algorithms have been utilized to predict the properties of protein-...
BACKGROUND: The Food and Drug Administration mandates patient labeling materials like the Medication...