Prescriptions

Exploring Older Adults' Use of AI Voice Assistants Through the Lens of Self-Determination Theory.

Aging often reduces opportunities for everyday interaction and instrumental support, raising questions about the potential role of artificial intelligence (AI) technologies in later-life well-being. This study examined how AI voice assistants may fulfill, or fall short of, older adults' basic psychological needs through the lens of self-determination theory (SDT). Eighteen U.S.-based community-dwe...

Precision Exercise for Breast Cancer-Related Outcomes: Towards Personalised Training Based on Tumour, Treatment and Patient Characteristics.

Exercise is a promising strategy associated with improved cancer-related outcomes through multiple biological mechanisms. However, current exercise guidelines largely adopt a one-size-fits-all approach and overlook inter-individual variability in response. Given the heterogeneity of breast cancer, precision exercise prescriptions may better target biological pathways linked to therapeutic efficacy...

APOBEC mutational signatures predict immune checkpoint inhibitor benefit in TMB-low metastatic NSCLC independent of PD-L1 status.

BACKGROUND: ∼60%-70% of patients with metastatic non-small cell lung cancer (NSCLC) have relatively low tumor mutational burden (TMB), with limited bi...

Therapeutic Interaction Features of AI Chatbots in Depression Interventions: Systematic Review and Meta-Analysis.

BACKGROUND: Depression is a prevalent mental health disorder and a leading cause of disability worldwide, creating substantial personal and societal b...

Artificial intelligence (AI)-assisted diagnosis of skin diseases: From image classification to dermatology-specific multimodal clinical reasoning.

Artificial intelligence (AI) in dermatology has moved beyond the early paradigm of single-image classification. Dermatological diagnosis is achieved b...

From data mining to mechanistic prediction: a study on drug-induced lung injury integrating FAERS, machine learning, and network toxicology.

Drug-induced lung injury (DLI) is a serious and potentially fatal adverse drug reaction that remains difficult to detect early and continues to challe...

Evaluation of a Digital Intervention for Monitoring and Improving Medication Adherence Among Real-World e-Consumers of HIV Preexposure Prophylaxis in China: Protocol for a Randomized Controlled Trial.

BACKGROUND: Preexposure prophylaxis (PrEP) is a key biomedical HIV prevention strategy that relies heavily on adherence for optimal effectiveness. In ...

STG-DB net for athlete pose estimation and pose rational optimization in complex sports scenes.

To address technical challenges inherent in athlete pose estimation within complex sports scenarios-specifically the confusion of multi-person skeleta...

Proactive detection of voice phishing networks using call log analysis and machine learning.

Voice phishing represents a rapidly evolving form of cyber-enabled financial fraud that exploits telecommunications networks to deceive victims. Tradi...

Mapping the intellectual landscape of malaria drug repurposing: a systematic analysis of the 51 most cited studies.

BACKGROUND: The escalating threat of Plasmodium falciparum resistance to artemisinin-based therapies necessitates accelerated drug development. Drug r...

Deep contrastive learning framework identifies cell-type-specific drug targets in Alzheimer's disease.

INTRODUCTION: Identifying disease-modifying drug targets is crucial for developing effective Alzheimer's disease (AD) treatments. METHODS: We present ...

Pathogenic Significance of Trypanosomatids: Progress in Drug Resistance, Control Strategies, and Artificial Intelligence.

Trypanosomatids, including the genera Trypanosoma and Leishmania, are protozoan parasites of significant medical and veterinary relevance. These organ...

AI in Drug Discovery and Development.

Artificial intelligence (AI) is transforming drug discovery and development, fields historically constrained by long timelines, high costs, and substa...

Integration of artificial intelligence applications in clinical pharmacy services: A scoping review.

PURPOSE: Artificial intelligence (AI) is increasingly being integrated into healthcare systems, offering new opportunities to enhance the safety, effi...

Prediction of hypertension and restenosis under guideline-directed management in aortic coarctation: development and validation of machine-learning models.

BACKGROUND: Aortic coarctation (CoA) is a major cause of arterial hypertension in young individuals, with recurrence occurring in up to one-third of p...

A mechanism-guided framework for prioritizing membrane-interaction anti-Vibrio peptides from peptidomics data.

A mechanism-guided framework for prioritizing membrane-interaction antimicrobial peptide candidates from proteomics-derived peptide mixtures is presen...

Automated Identification of Surgical Site Infections From Electronic Medical Records: Retrospective Observational Predictive Modeling Study.

BACKGROUND: Surgical site infections (SSIs) affect 160,000 to 300,000 patients annually, increasing postoperative mortality, causing significant compl...

Diagnosing lung disorder and optimal classification using dense convolution (Dc)-CapsNet technique.

Lung carcinoma is regarded as lung cancer and is the usual form of cancers worldwide. It cannot be diagnosed easily until it spreads and is regarded a...

Interpretable graph neural networks for predicting drug activity in triple-negative breast cancer using scaffold-based splits.

Triple-negative breast cancer (TNBC) is an oncology indication with urgent need for drug discovery and limited targeted therapies. This work benchmark...

The importance of clinical context in evaluating algorithmic fairness: insights from a medication adherence prediction algorithm.

OBJECTIVE: Using AI algorithms can exacerbate health disparities if care or resources are allocated away from underserved populations. We evaluated an...