Prescriptions

A Character-level Convolutional Recurrent Interaction Network for joint traditional Chinese medicine clinical named entity recognition and relation extraction.

The electronic medical record (EMR) of traditional Chinese medicine (TCM) is a crucial document for recording patients' clinical data, structured around four main dimensions: inspection, listening and smelling, inquiry, and palpation. Analyzing these records using natural language processing holds promise for further structuring and modeling TCM medical data. Currently, deep learning-based named e...

Knowledge-graph-enhanced multi-scale modeling for drug-drug interaction prediction.

Drug-drug interaction (DDI) prediction is crucial for understanding combined medication effects and preventing adverse reactions. Traditional machine learning methods rely on handcrafted features and lack generalization, while existing deep learning approaches often fail to capture global and multi-scale drug relationships. To overcome these limitations, we propose ALG-DDI, a multi-scale feature f...

The Emerging Role of Artificial Intelligence in Drug Discovery and Development: Implications for Cardiovascular Pharmacology.

Cardiovascular diseases remain the leading cause of global morbidity and mortality, highlighting the urgent need for more efficient, precise, and cost...

Message Humanness as a Predictor of AI's Perception as Human: Secondary Data Analysis of the HeartBot Study.

BACKGROUND: Artificial intelligence (AI) chatbots have become prominent tools in health care to enhance health knowledge and promote healthy behaviors...

Data-efficient learning for accurate identification of MAPK1 inhibitors using an active meta-deep learning framework.

Limited experimental data remains a key challenge in applying machine learning to drug discovery, particularly for cancer-related targets. In this stu...

Integrative Multiomics and Drug Sensitivity Profiling Reveal Potential Biomarkers and Therapeutic Strategies in Pediatric Solid Tumors.

UNLABELLED: Cure rates for childhood malignancies using established therapy protocols have increased to an average of 80% but have reached a plateau. ...

Multi-omics integration in deciphering non-small cell lung cancer drug resistance: current status, challenges, and future prospects.

Lung cancer is the leading cause of cancer-related deaths globally. Non-small cell lung cancer (NSCLC) accounts for approximately 85% of all lung canc...

Transforming clinical toxicology in Singapore: four decades of progress and beyond.

By examining key milestones, challenges and future directions, this review chronicles the evolution of clinical toxicology in Singapore into a recogni...

Gamified Physical Education and Cognitive Performance Among Chinese Secondary School Students: Cross-Sectional Moderation Mediation Study.

BACKGROUND: Educators are exploring new methods to educate beyond the classroom as global concerns about students' cognitive, emotional, and social we...

Ensemble transfer learning for classifying physical examinations in GP consultation: a multi-model approach to human-object and human-to-human activity recognition.

OBJECTIVES: This study aims to automatically classify physical examinations performed during general practitioner (GP) consultations using a deep lear...

Mathematical and Artificial Intelligence Techniques in Modern Drug Discovery: A Review.

The future of drug research is intrinsically connected to the continuous advancement and prudent integration of Artificial intelligence (AI) and mathe...

Innovations to improve outcomes and uptake of psychotherapies for mental disorders: a state-of-the-art review.

Psychotherapies have been found effective in the treatment of most mental disorders. However, substantial improvements are still much needed, and many...

A Multimodal Multitask Artificial Intelligence Model for Orthokeratology Contact Lens Fitting: An Integrated Framework to Enhance Lens Centration and Myopia Control Effect.

PURPOSE: To develop a multimodal, multitask artificial intelligence (AI) model to classify postfitting corneal topography patterns and predict axial l...

Machine Learning Assisted Selective Configuration Interaction for Accurate Ground and Excited State Calculations.

In this work, we introduce a perturbative Selective Configuration Interaction (SCI) approach guided by a binary machine-learning classifier. The metho...

Deep learning predicts and in vitro experiments validates the synergistic anti-liver cancer effect of vincristine and lenvatinib: Mechanism involving apoptosis induction via the TNF-α/Caspase-8 pathway.

Resistance to lenvatinib has become a major obstacle in the clinical treatment of liver cancer, highlighting the significant research value and transl...

Health trajectories of patients with amyotrophic lateral sclerosis before and after initiation of non-invasive ventilation: a French nationwide database analysis.

BACKGROUND: Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presentation and unpredictable disease course. This stud...

Chemical genomics language model toward reliable and explainable compound-protein interaction exploration.

Accurate prediction of compound-protein interactions (CPIs) is crucial for chemical biology and drug discovery. Despite recent advancements, existing ...

The impact of artificial intelligence (AI) on the quality of life for individuals with intellectual disabilities in Saudi Arabia: A PRISMA-compliant systematic review and meta-analysis.

BACKGROUND: Artificial intelligence (AI) is increasingly being integrated into health, education, and social systems, offering new opportunities to en...

μPharma: A microfluidic, AI-driven pharmacotyping platform for single-cell drug sensitivity prediction in leukemia.

BACKGROUND: Pharmacotyping, the ex vivo measurement of tumor cell responses to drugs, is particularly important for cancers lacking actionable genomic...

Graph former-CL: A novel graph transformer with contrastive learning framework for enhanced drug-drug interaction prediction.

Drug-drug interactions (DDI) represent a significant clinical challenge in modern healthcare, contributing to over 125,000 deaths annually in the Unit...