US Health Policy

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

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Ligand supplementation restores the cancer therapy efficacy of the antirheumatic drug auranofin from serum inactivation.

Auranofin, an FDA-approved antirheumatic gold drug, has gained ongoing interest in clinical studies ...

The integration of psychological education and moral dilemmas from a value perspective.

The rapid evolution of internet technologies has emphasized the importance of integrating psychologi...

Value of artificial intelligence in neuro-oncology.

CNS cancers are complex, difficult-to-treat malignancies that remain insufficiently understood and m...

A hybrid reinforcement learning and knowledge graph framework for financial risk optimization in healthcare systems.

Effective financial risk management in healthcare systems requires intelligent decision-making that ...

Validation of the Klinrisk Machine Learning Model for CKD Progression in a Large Representative US Population.

BACKGROUND: Early identification of high-risk chronic kidney disease (CKD) can facilitate optimal me...

KAFSTExp: Kernel Adaptive Filtering with Nystrom Approximation for Predicting Spatial Gene Expression from Histology Image.

Spatial transcriptomics (ST), known as an expensive medical examination, plays an important role in ...

The Predictive Value of Serum Total IgE for Antihistamine Treatment Outcomes in Chinese Patients with Chronic Spontaneous Urticaria.

Chronic spontaneous urticaria is a common skin disorder with variable treatment responses. Second-ge...

Multilingual identification of nuanced dimensions of hope speech in social media texts.

Hope plays a crucial role in human psychology and well-being, yet its expression and detection acros...

Unicorns transforming the practice of urology: value creation and allocation in the digital age.

PURPOSE: To analyze what kind of products and services unicorns, which create a substantial financia...

Utilizing CBNet to effectively address and combat cyberbullying among university students on social media platforms.

Cyberbullying can profoundly impact individuals' mental health, leading to increased feelings of anx...

AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images.

Breast cancer patients exhibit variable responses to neoadjuvant therapy (NAT), necessitating robust...

Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients.

Following complete mesocolic excision (CME), heart failure (HF) emerges as a significant complicatio...

Synergizing Nanosensor-Enhanced Wearable Devices with Machine Learning for Precision Health Management Benefiting Older Adult Populations.

Population aging presents significant health challenges and socioeconomic burdens globally, driving ...

The prognostic value of immunoscore in the early-onset colorectal cancer.

BACKGROUND: The purpose of this study was to explore the prognostic value of Immunoscore in patients...

Exploration and validation of the prognostic value of mitophagy and mitochondrial dynamics-related genes in cervical cancer.

The mechanisms underlying mitophagy and mitochondrial dynamics (MD) in cervical cancer (CC), a disea...

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