Public Health & Policy

Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Integrating explainable AI with multiomics systems biology and EHR data mining for personalized drug repurposing in Alzheimer’s disease

Alzheimer’s disease (AD) is characterized by region- and patient-specific molecular heterogeneity, w...

CLM-access: A Specialized Foundation Model for High-dimensional Single-cell ATAC-seq analysis

Inspired by the success of large language models (LLMs) in natural language processing, cell languag...

Enhancing Protein Binding Site Residue Prediction with Graph Neural Networks: Impacts of Cutoff Distance and Feature Selection

Identifying protein binding site residues is critical for understanding molecular interactions but c...

Short Oxygen Pulses Enhance Creative Problem-Solving

Creativity is central to human innovation, yet it often fluctuates from moment to moment. Identifyin...

DANCE: An open-source analysis pipeline and low-cost hardware to quantify aggression and courtship in Drosophila

Quantifying animal behavior is pivotal for identifying the underlying neuronal and genetic mechanism...

DeviceAgent: An autonomous multimodal AI agent for flexible bioelectronics

The development of flexible bioelectronics remains a complex, multidisciplinary process that demands...

Offline Reconstruction of Diffusion MRI Acquisitions for Comparison Between Complex PCA-based and AI-based Denoising

Optimal diffusion MRI (dMRI) data for image denoising is often unavailable from scanner reconstructi...

Predicting Future Development of Stress-Induced Anhedonia From Cortical Dynamics and Facial Expression

The current state of mental health treatment for individuals diagnosed with major depressive disorde...

PocketX: Preference Alignment for Protein Pockets Design through Group Relative Policy Optimization

Designing protein pockets that target specific ligands is crucial for drug discovery and enzyme engi...

Flexible selection of working memory representations to reduce cognitive cost

Across psychology 1–4, economics 5,6, machine learning 7, and neuroscience 8,9, it is well establish...

Care Phenotypes In Critical Care

The Social Determinants of Health (SDoH) have long been recognised as significant drivers of health ...

Predicting ADC Map Quality from T2-Weighted MRI: A Deep Learning Approach for Early Quality Assessment to Assist Point-of-Care

Poor quality prostate MRI images, especially ADC maps, can lead to missed lesions and unnecessary re...

Systematic Exploration of Hospital Cost Variability: A Conformal Prediction-Based Outlier Detection Method for Electronic Health Records

Marked variability in inpatient hospitalization costs poses significant challenges to healthcare qua...

Enhancing Rare Disease Education through AI-Driven Podcast Generation

Rare diseases, including many rare genetic epilepsies and neurodevelopmental disorders, present sign...

Development and Validation of Natural Language Processing Algorithms in the ENACT National Electronic Health Record Research Network

Electronic health record (EHR) data are a rich and invaluable source of real-world clinical informat...

From Patient Voices to Policy: Data Analytics Reveals Patterns in Ontario’s Hospital Feedback

Patient satisfaction is a central measure of high-performing healthcare systems, yet real-world eval...

AI regulation in healthcare around the world: what is the status quo?

The rapid adoption of artificial intelligence (AI) raises challenges related to ethics, safety, equi...

Performance of DeepSeek-R1 in Ophthalmology: An Evaluation of Clinical Decision-Making and Cost-Effectiveness

To compare the performance and cost-effectiveness of DeepSeek-R1 with OpenAI o1 in diagnosing and ma...

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