Prescriptions

The impact of an ambient documentation tool on the care experience of clinical pharmacists embedded in ambulatory clinics: A mixed-methods evaluation.

PURPOSE: Ambient documentation tools (ADTs) are an emerging technology designed to help clinicians complete documentation more effectively with less time and effort. This study aimed to understand the impact of ADT on the pharmacist care experience. METHODS: Data from Epic Signal, surveys, and interviews were collected between February 2024 and October 2025 for 41 medication therapy disease manage...

Integrating machine learning and pharmacogenomics for biomarker discovery, identification and prioritization of potential drug candidates in ovarian cancer.

Ovarian cancer remains a major global health concern and leading cause of mortality among women due to late diagnosis, therapeutic resistance, and limited predictive biomarkers for treatment response. There is an urgent need for integrative approaches to improve early detection and treatment outcomes. In this study, we integrated machine learning and pharmacogenomics to identify drug-sensitive bio...

Artificial intelligence enabled performance evaluation of an enhanced SPR biosensor for malaria diagnosis.

Malaria remains a serious global health problem, particularly in areas where drug-resistant Plasmodium species and the expanded geographical distribut...

Emerging paradigms in nanostructured targeted drug delivery systems.

Nanostructured drug delivery systems have emerged as powerful and versatile approaches to overcome the limitations of conventional therapeutic strateg...

Utilization of Heritage Manifestations in a Reminiscence Programme (App) Directed at Older Adults with and Without Neurocognitive Disorder, Employing AI: A Pilot Study in Portugal and Spain.

Cultural and intangible heritage has been part of human daily life since time immemorial, fulfils a function within the community and acts as an eleme...

History repeats in sweet solutions: toxicological concerns and targeted recommendations following the cough syrup-linked paediatric mortalities in India.

The latest episode of cough syrup-associated pediatric deaths in India linked to the reported diethylene glycol (DEG) contamination reverberates a lon...

DataXflowGen for GenAI-driven model generation.

For years, mathematical models have been successfully used to explain biological, chemical, or physical relationships. The enormous advances in artifi...

Fully Automated Free-Breathing Cardiac MRI at 3T: A Prospective Randomized Study of Image Quality, Efficiency, and Workflow Burden.

BACKGROUND: Automation in cardiac magnetic resonance (CMR) scans holds the potential to improve examination efficiency and workflow consistency. Prosp...

Performance Evaluation of GPT-5, Grok 4, and DeepSeek R1 in Interpreting Complete Blood Count Reports for Hematologic Diseases: Retrospective Comparative Study.

BACKGROUND: Large language models (LLMs) demonstrate potential in the laboratory, yet rigorous clinical evaluation remains limited. The opacity of LLM...

AI Chatbot Answers for Drug Dosing Adjustments According to Renal Function in Geriatric Patients Using the New Scoring System (AI Quality Output Score): Cross-Sectional Study.

BACKGROUND: Preventable adverse drug reactions in geriatric patients are caused by overdosing, especially in cases of impaired renal function. Artific...

Predicting End-Stage Renal Disease and Mortality in Chronic Kidney Disease Using Machine Learning: Retrospective Cohort Study.

BACKGROUND: Chronic kidney disease (CKD) is a global health burden characterized by heterogeneous progression trajectories. Without timely and appropr...

Predicting ICU in-hospital mortality from text-encoded structured EHR data using adaptive transformer layer fusion.

Early identification of ICU patients at high mortality risk is essential for triage and timely intervention. We present adaptive layer fusion with int...

MAGC-DTI: modality-shared space and adaptive gated interactive cross-attention for drug-target interaction prediction.

Accurate drug-target interaction (DTI) prediction is crucial for drug repurposing and accelerating drug development. Although deep learning has advanc...

Academic early warning model based on machine learning and model application.

With the expansion of higher education, the uncertainty of students' academic completion and the diversity of academic crises have posed new challenge...

Label-free interferometry platform for drug response profiling of bioprinted tumor organoids at single-organoid resolution.

Organoids have become mainstay tools for drug discovery and personalized medicine. High-throughput imaging readouts for drug screening of tumor organo...

Substance-induced manic psychosis in which delusions were corroborated by a chatbot - case report.

BACKGROUND: This case describes a substance-induced manic episode with psychotic features in which interaction with an AI (artificial intelligence) ch...

Integrating artificial intelligence into drug delivery systems: Formulation development and current challenges.

Artificial intelligence (AI) is increasingly being explored as a supportive tool to address persistent challenges in drug delivery research, particula...

Geometric Structure-Aware Diffusion Model with Self-Optimization Strategy for Molecular Generation.

With the advancement of artificial intelligence, molecular design based on generative models offers novel approaches to accelerate drug discovery. How...

Development and validation of a machine learning-based clinical decision support tool for stratifying intravenous medication risk in hospitalized patients with heart failure.

INTRODUCTION: Hospitalized patients with heart failure (HF) frequently receive multiple high-risk intravenous (IV) medications, placing them at a subs...

Interpretable graph deep learning framework for drug synergy prediction by integrating functional and clinical similarities.

Tumor heterogeneity and drug resistance limit single-agent therapies, making combination treatments essential. However, traditional screening methods ...