Latest AI and machine learning research in prescriptions for healthcare professionals.
BACKGROUND: Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable medication history. We investigated whether routinely available coagulation tests, prothrombin time-international normalized ratio and activated partial thromboplastin time, paired with machine learning can identify anticoagulant exposure at presentat...
Recently, research into chatbots (also known as conversational agents, artificial intelligence agents, or voice assistants), which are computer applications using artificial intelligence to mimic human-like conversation, has grown sharply. Despite this growth, sociology lags behind other disciplines (including computer science, medicine, psychology, and communication) in publishing about chatbots....
With the development of smart grids and the complexity of power marketing, accurately predicting users behavior and recommending suitable products to ...
BACKGROUND: Rapid detection of drug-resistant leukemia played a crucial role in formulating appropriate treatment plans for patients and improving the...
BACKGROUND: Lipopolysaccharide (LPS) is a crucial diagnosis biomarker for sepsis. Accurate and sensitive determination of LPS in real samples (human s...
Synchronous reluctance motors (SynRMs) are increasingly critical in industrial and traction applications due to their high efficiency, magnet-free con...
BACKGROUND: Cancer heterogeneity results in patients with the same diagnosis responding differently to drugs, making treatments extremely challenging....
BACKGROUND: Acute deterioration requiring invasive mechanical ventilation (IMV) is common in critically ill children and may arise from respiratory, c...
Peptide-Protein Interactions (PepPIs) are essential to a wide range of biological processes, including gene regulation, cellular homeostasis, and meta...
Antifungal drug resistance is a major challenge in fungal infection management. Numerous genomic changes are known to contribute to acquired drug resi...
To address the imbalance between antibacterial potency and developability in cephalosporin discovery against Escherichia coli, we developed a comprehe...
ETHNOPHARMACOLOGICAL RELEVANCE: Traditional Chinese Medicine (TCM) holds significant therapeutic potential, yet its modernization is hindered by the i...
Medication dosage calculation is a vital clinical skill essential for patient safety. However, many nursing students experience difficulties mastering...
OBJECTIVE: To explore the gaps, needs, and priorities in the pharmacy curriculum of Pakistan and synthesize pharmacy professionals' perspectives to de...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in chronic disease management, including diabetes, where it has the potential to supp...
BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD), characterized by progressive cyst growth and renal decline, is the leading genetic c...
Drug repurposing, the identification of new therapeutic applications for existing drugs, has emerged as a pragmatic and cost-efficient strategy to acc...
Understanding hydroxyl radical (HO·) reactivity with organic pollutants is crucial for optimizing advanced oxidation processes in water purification. ...
BACKGROUND AND OBJECTIVE: Deep learning has achieved remarkable success in chest x-ray interpretation, yet most models remain black boxes, producing a...
Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant opportunities for enhancing patient care through a...