Prescriptions

Patient centered and technology enabled strategies to improve Tuberculosis treatment adherence.

INTRODUCTION: Tuberculosis (TB) treatment adherence (how regular patients follow the prescribed medication) has a major role in TB control. In high burden countries such as India, poor adherence contributes to treatment failure, relapse and the emergence of drug-resistant TB (DR-TB), despite substantial programmatic efforts to improve treatment outcomes. AREAS COVERED: This review examines a broad...

Interaction Between Air Pollution and Genetic Predisposition to Blood Pressure and LDL-C on Cardiovascular Events.

AIMS: Particulate matter ≤2.5μm (PM2.5) air pollution is a leading global environmental risk factor. We investigated the impact of PM2.5 on cardiovascular risk with lifetime genetic predisposition to low-density lipoprotein cholesterol (LDL-C) and systolic blood pressure (SBP). METHODS: We conducted a Mendelian Randomization (MR) study of participants from the UK Biobank study (n = 412,446) over 1...

Ethical Considerations in Personal Health Large Language Models.

Personal health large language models (PH-LLMs) have rapidly evolved from research prototypes into consumer-facing, data-linked systems that support s...

A system-level DOI discrimination method based on SSDA for a brain-dedicated DOI-PET scanner.

OBJECTIVE: Depth-of-interaction (DOI) information is essential for improving the spatial resolution in positron emission tomography (PET) imaging. Exi...

Allergic rhinitis in the elderly. In collaboration with ARIA guidelines.

Rhinitis in the elderly represents a unique challenge, due to specific clinical profiles, needs and expectations. Allergic rhinitis (AR) in the elderl...

DTANet+: Dual Interaction and Kernel-Diverse Network for Drug-Target Affinity Prediction.

Drug-target binding affinity (DTA) is central to computer-aided drug design. Although biochemical assays yield accurate measurements, their high cost ...

YOLO-APLD: A Lightweight Apple Leaf Disease Detection Model Based on Multiscale Feature Fusion.

The precise and timely identification of apple leaf diseases play a key role in targeted pesticide application in orchards. Conventional deep learning...

Validation of latent health behaviour subtypes in young and middle-aged adults with hypertension: a machine learning-augmented LCA approach with external cohort replication.

AIMS: To validate behavioural subtypes among young and middle-aged hypertensive patients using latent class analysis (LCA) and assess their generaliza...

Learning to Super-Resolve Face Images via Dual-Domain Multi-scale Feature Interaction.

Face Super-Resolution (FSR), aiming to improve the quality of Low-Resolution (LR) facial images, has been greatly propelled by the deep learning techn...

Web-Based Gamified Auditory-Cognitive Dual-Task Training for Older Adults With Age-Related Hearing Loss: Pilot Randomized Controlled Trial.

BACKGROUND: Everyday listening ability is essential for individual health and well-being. Age-related hearing loss (ARHL) is associated with reduced c...

Application of Language Models for the Analysis of Adverse Drug Events in Pharmaceutical Research and Development: Scoping Review.

BACKGROUND: Adverse drug events (ADEs) remain a critical safety issue in pharmaceutical research and development (Pharma R&D), necessitating robust me...

Social connectedness as a pathway towards climate resilience: exploring climate change scepticism with machine learning approaches and mediation regression models.

Climate resilience is vital for sustainable development, but vulnerable to doubt. Based on the data from the Chinese General Social Survey, this study...

drGT: Interpretable Drug Response Prediction with Attention-Guided Gene Attribution on a Drug-Cell-Gene Heterogeneous Graph.

BACKGROUND: For translational impact, both accurate drug response prediction and biological plausibility of predictive features are needed. We present...

Proteomics-Driven Strategies for Proximity-Inducing Drug Discovery.

In recent years, proximity-inducing drugs have emerged as a novel therapeutic modality that induces or stabilizes protein-protein interactions, especi...

Drug-induced multisystem syndromes: An overlooked challenge in pharmacovigilance.

BackgroundDrug-Induced Multisystem Syndromes (DIMS) represent a clinically significant yet under-recognized group of delayed immune-mediated adverse d...

Toward Precision Cardiac Rehabilitation: Current Limitations and Future Opportunities of Omics and Artificial Intelligence.

Cardiovascular disease involves complex molecular, cellular, and physiological derangements that present challenges for traditional diagnostic and the...

DrugDL: Dual-modal deep learning framework for multi-property drug prediction and targeted therapy discovery.

MOTIVATION: The accurate and robust representation of drug molecule features, the prediction of drug-target biomacromolecule interactions, and the det...

Variational autoencoder for interpretable seizure onset phases detection.

OBJECTIVE: In this study, we describe a deep learning framework for automated seizure annotation in stereo electroencephalography (SEEG) data of patie...

Phenotypic response surfaces in pharmacology: Mechanistic and translational perspectives on optimizing drug combination therapies.

Combination drug therapies are central to the treatment of diseases with multifactorial etiology, including cancer, infectious diseases, and autoimmun...

The Role of ChatGPT in Reducing Preoperative Anxiety in Patients Planning to Undergo Rhinoplasty.

OBJECTIVE: This study investigates the impact of an artificial intelligence (AI) chatbot (ChatGPT-3.5, OpenAI) on preoperative anxiety among patients ...