Latest AI and machine learning research in prescriptions for healthcare professionals.
BACKGROUND: Hepatitis B and C viruses (HBV and HCV) remain major global health challenges, contributing significantly to liver-related morbidity and mortality worldwide. Although direct-acting antivirals (DAAs) have improved patient outcomes, key limitations persist, including suboptimal hepatic targeting, emerging drug resistance, incomplete viral eradication, and systemic side effects. AREA COVE...
BACKGROUND: Patient safety incidents are a leading cause of harm in psychiatric settings, yet early warning systems (EWS) tailored to mental health remain underdeveloped. Traditional risk tools such as the Dynamic Appraisal of Situational Aggression-Inpatient Version (DASA-IV) offer limited predictive accuracy and are reactive rather than proactive. OBJECTIVE: We introduce the Predictive Risk Iden...
ConspectusViral proteases are essential enzymes required for viral replication and assembly, making them prime antiviral drug targets. However, under ...
The drug development pipeline remains extraordinarily complex, costly, and time-intensive, typically requiring 10-15 years and $2-3 billion per approv...
INTRODUCTION AND AIMS: To develop a multimodal deep learning model for dental caries screening in children by integrating intraoral photographs and qu...
Drug combination therapy is a well-established strategy for treating complex diseases. However, the vast combinatorial space renders exhaustive experi...
This study is one of the few contextual and integrative empirical studies examining how artificial intelligence marketing efforts (AI MEs) can shape c...
BACKGROUND: Artificial intelligence (AI) applications in endoscopy, particularly computer-aided detection (CADe), have shown consistent benefit in ran...
In drug discovery and therapeutic research, the prediction of drug-disease associations (DDAs) holds significant scientific and clinical value. Drug m...
INTRODUCTION: Preschool wheeze and asthma are associated with substantial morbidity and impaired future lung function. Yet, wheeze is unreliably repor...
Humans rapidly and efficiently categorize others with limited information, forming split-second impressions. Prior EEG person perception research has ...
The accurate detection of genetic variants is critical for advancing genomics research and precision medicine. However, this task remains challenging ...
Manual forecasting of seasonal medication demand results in inefficiencies and labor burden. With the advancement of machine learning, there is an opp...
BACKGROUND: Drug checking services are becoming increasingly popular. Despite the significant variability in fentanyl concentrations observed in the u...
Falls are a leading cause of injury in older adults, making risk prediction a clinical priority. While many machine learning (ML) models exist, they t...
BACKGROUND: Artificial intelligence (AI) is being rapidly integrated into oncologic care, yet little is known about how patients perceive these applic...
INTRODUCTION: Persistent postsurgical pain (PPSP) affects up to 15% of patients after major surgery, impairing physical function, quality of life and ...
This review examines how biotechnology advances (CRISPR/Cas9, next-generation targeted therapies, nanotechnology-based drug delivery, and immunotherap...
Emotion recognition using physiological signals has gained significant attention in recent years due to its potential applications in mental health mo...
Social interaction supports brain health and recovery after neurological injury. Yet no validated tool exists for real-time measurement in individuals...