Public Health & Policy

Stem Cell Research

Latest AI and machine learning research in stem cell research for healthcare professionals.

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Stem cell therapy for heart failure in the clinics: new perspectives in the era of precision medicine and artificial intelligence.

Stem/progenitor cells have been widely evaluated as a promising therapeutic option for heart failure...

Deep learning-based synthetic dose-weighted LET map generation for intensity modulated proton therapy.

The advantage of proton therapy as compared to photon therapy stems from the Bragg peak effect, whic...

The antibacterial activity of berberine against : its therapeutic potential in inflammatory acne.

() is a major pathogen implicated in the evolution of acne inflammation. Inhibition of -induced inf...

Challenges of artificial intelligence in medicine and dermatology.

Artificial intelligence (AI) in medicine and dermatology brings additional challenges related to bia...

Enhancing voriconazole therapy in liver dysfunction: exploring administration schemes and predictive factors for trough concentration and efficacy.

The application of voriconazole in patients with liver dysfunction lacks pharmacokinetic data. In p...

Risk adjustment for regional healthcare funding allocations with ensemble methods: an empirical study and interpretation.

We experiment with recent ensemble machine learning methods in estimating healthcare costs, utilizin...

Effects of an assist-as-needed equipped Tenodesis-Induced-Grip Exoskeleton Robot (TIGER) on upper limb function in patients with chronic stroke.

BACKGROUND: The original version of the Tenodesis-Induced-Grip Exoskeleton Robot (TIGER) significant...

Morphology-based deep learning enables accurate detection of senescence in mesenchymal stem cell cultures.

BACKGROUND: Cell senescence is a sign of aging and plays a significant role in the pathogenesis of a...

Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities.

The sanctity of the doctor-patient relationship is deeply embedded in tradition - the Hippocratic oa...

Ct-based subregional radiomics using hand-crafted and deep learning features for prediction of therapeutic response to anti-PD1 therapy in NSCLC.

PURPOSE: To develop and externally validate subregional radiomics for predicting therapeutic respons...

AS-NeSt: A Novel 3D Deep Learning Model for Radiation Therapy Dose Distribution Prediction in Esophageal Cancer Treatment With Multiple Prescriptions.

PURPOSE: Implementing artificial intelligence technologies allows for the accurate prediction of rad...

AI and business management: Tracking future research agenda through bibliometric network analysis.

This study has been designed to analyse the academic landscape of AI on the Scopus and Web of Scienc...

Treatment prediction with machine learning in prostate cancer patients.

There are various treatment modalities for prostate cancer, which has a high incidence. In this stud...

Pembrolizumab alters the tumor immune landscape in a patient with dMMR glioblastoma.

Congenital DNA mismatch repair defects (dMMR), such as Lynch Syndrome, predispose patients to a vari...

Machine Learning Insights Into Uric Acid Elevation With Thiazide Therapy Commencement and Intensification.

Background Elevated serum uric acid, associated with cardiovascular conditions such as atherosclerot...

Ultrasound robotics for precision therapy.

In recent years, the application of microrobots in precision therapy has gained significant attentio...

Use of Electronic Medical Records (EMR) in Gerontology: Benefits, Considerations and a Promising Future.

Electronic medical records (EMRs) have many benefits in clinical research in gerontology, enabling d...

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