Prescriptions

Lipid digestion- driven drug fate as a key determinant of SNEDDS performance: Mechanistic basis of absorption and in vitro- in vivo disconnect.

Self-nanoemulsifying drug delivery systems (SNEDDS) represent a major class of lipid-based nanomedicines that are primarily utilised for the enhancement of oral delivery of poorly water-soluble drugs. However, their clinical translation remains inconsistent due to a sustained divergence between in vitro performance and in vivo bioavailability. Although substantial literature exists, a unified mech...

Dual branch fundus deep learning network as an enhanced multi classification system for ocular disease detection via hybrid feature fusion.

Ophthalmic diagnosis relies heavily on the interpretation of fundus images to identify a range of debilitating diseases. However, the presence of multiple, co-existing pathologies and the subtle visual cues associated with early-stage disease pose a significant challenge, necessitating the development of advanced diagnostic tools. We present DFD-Net (Dual-Branch Fundus Deep Learning Network), a de...

HyperDC: A Non-Uniform Hypergraph Framework for Dual- and Higher-Order Drug Combination Recommendation Across Diverse Complex Diseases.

Complex diseases are commonly characterized by dysregulation across multiple targets and pathways, making drug combinations an important therapeutic s...

User Acceptance of an AI-Powered Medical History-Taking Training System Among Undergraduate Medical Students: Mixed Methods Study.

BACKGROUND: Artificial intelligence (AI)-powered virtual patient systems provide medical students with repeatable practice environments for history-ta...

Explainable and Optimized Gradient Boosting Algorithms for Near-Real-Time Prediction of Cyanobacterial Alert Levels in Freshwater Systems.

Harmful cyanobacterial blooms (HABs) pose serious risks to freshwater ecosystems, drinking water supplies, and public health, highlighting the need fo...

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

BACKGROUND: Scoliosis is a spinal disorder characterized by a three-dimensional (3D) deformity of the vertebral column. 3D ultrasound imaging has been...

Multifactorial predictive model for nurses' intention to correct online health misinformation: A machine-learning and SHAP analysis.

OBJECTIVES: To develop and interpret a predictive model that detects key factors associated with nurses' intention to rectify online health misinforma...

Artificial intelligence for child health: current capabilities and the next frontier.

Artificial intelligence (AI) is reshaping paediatric healthcare, offering new capabilities across diagnosis, monitoring and treatment personalisation....

Impact of feature engineering on predicting non-contact football injuries.

Non-contact injuries in professional football impose significant performance and economic burdens, yet the influence of workload feature representatio...

Prescribing Caution: A Critique of OpenEvidence to Answer Medication-Related Questions.

OpenEvidence is a newer medical large language model (LLM) that is growing in use among health professionals and students for clinical care and resear...

Research and Scholarly Methods: Using Artificial Intelligence.

Artificial intelligence (AI) is quickly changing health care and expanding research opportunities, including in pharmacy. AI can offer effective solut...

Protocol-Based Management of Medication Confounders in Brain Death Determination: A Multi-Institutional Review.

BACKGROUND: Determination of death by neurologic criteria (DNC) relies on clinical examination, provided no confounding conditions affect reliability....

Survivor Perspectives on Artificial Intelligence Integration in Breast Cancer Treatment: A Qualitative Study of Trust, Equity, and Application.

FUNDING: Funding (NIH #1OT2OD037972-01). OBJECTIVE: Artificial intelligence (AI) may enhance the efficiency and personalization of breast cancer (BC) ...

Automated Pharmacometric Model Development by Leveraging Low-Dimensional Neural ODEs and LASSO Regression.

Current pharmacometrics (PMX) model development is a manual process with iterative model building, fitting, and evaluation, which can be resource-inte...

Dual-variable force characterisation method for human-robot interaction in wearable robotics.

Understanding the physical interaction with wearable robots is essential to ensure safety and comfort. However, this interaction is complex in two key...

In-hospital mortality among patients with congenital heart disease undergoing noncardiac procedures: machine learning analysis of a multicentre study.

BACKGROUND: Improved survival for children with congenital heart disease (CHD) has resulted in an increasing number presenting for noncardiac procedur...

Artificial Intelligence-Assisted Inner Ear Computed Tomography Analysis: Radiomics-Based Comparison of Affected and Unaffected Ears in Idiopathic Sudden Sensorineural Hearing Loss.

We aimed to determine whether computed tomography (CT)-based radiomic features of the inner ear can distinguish the affected side from the contralater...

Integrating evolutionary and compositional features with ML and DL for robust and interpretable druggable protein prediction.

Druggable proteins are essential targets in contemporary therapeutic discovery, and their precise identification is necessary for the progression of r...

Unified heterogeneity-aware benchmark of drug synergy prediction: a cross-study analysis of traditional machine learning and graph deep learning models.

Drug synergy prediction holds great promise in accelerating combination therapy development and improving treatment efficacy in cancer and other compl...

Screening of Medicinal and Edible Homology Substances for Diabetic Kidney Disease Based on GraphBAN.

BACKGROUND: Diabetic kidney disease (DKD) is a critical microvascular complication of diabetes mellitus, and the current pharmacotherapies are limited...