Public Health & Policy

Stem Cell Research

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

5,042 articles
Stay Ahead - Weekly Stem Cell Research research updates
Subscribe
Browse Categories
Showing 2290-2310 of 5,042 articles
Personalized prediction of breast cancer candidates for Anti-HER2 therapy using F-FDG PET/CT parameters and machine learning: a dual-center study.

BACKGROUND: Accurately evaluating human epidermal growth factor receptor (HER2) expression status in...

Perspective on the ethics of AI at the intersection of nutrition and behaviour change.

Artificial intelligence (AI) has emerged as a powerful tool, that has the potential to impact societ...

Emerging biomaterials and bio-nano interfaces in pulmonary hypertension therapy: transformative strategies for personalized treatment.

Pulmonary hypertension (PH) is still an aggressive and progressive illness with vascular remodeling ...

Adapting Clinical Ethics Consultations to Address Ethical Issues of Artificial Intelligence.

AbstractAs artificial intelligence (AI) becomes increasingly incorporated into the workflow of clini...

Detection of pediatric developmental delay with machine learning technologies.

OBJECTIVE: Accurate identification of children who will develop delay (DD) is challenging for therap...

Disability services in higher education: Statistical disparities and the potential role of AI in bridging institutional gaps.

Disparities in disability services between two-year and four-year higher education institutions pose...

Artificial Intelligence (AI) and academic publishing in psychiatry.

The current and potential impact of various applications of artificial intelligence (AI) to the fiel...

Current State of Healthcare Robots for Older Adults in Care Facilities in Japan and the Related Ethical Issues for Nurses.

This review discusses the introduction of healthcare robots, such as those that provide transfer, to...

AI-driven report-generation tools in mental healthcare: A review of commercial tools.

Artificial intelligence (AI) systems are increasingly being integrated in clinical care, including f...

Unveiling the Immune Landscape of Delirium through Single-Cell RNA Sequencing and Machine Learning: Towards Precision Diagnosis and Therapy.

BACKGROUND: Postoperative delirium (POD) poses significant clinical challenges regarding its diagnos...

The Metabolic Treatabolome and Inborn Errors of Metabolism Knowledgebase therapy tool: Do not miss the opportunity to treat!

Inborn errors of metabolism (IEMs) are rare genetic conditions with significant morbidity and mortal...

A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy.

BACKGROUND: Palliative spine radiation therapy is prone to treatment at the wrong anatomic level. We...

Living on the Edge: Paradoxical Experiences with Ethics (Reprinted with permission).

Paradox is living phenomenon that provides insights into straight thinking and diverse human experie...

Co-creating Humanistic AI AgeTech to Support Dynamic Care Ecosystems: A Preliminary Guiding Model.

As society rapidly digitizes, successful aging necessitates using technology for health and social c...

Machine learning for adverse event prediction in outpatient parenteral antimicrobial therapy: a scoping review.

OBJECTIVE: This study aimed to conduct a scoping review of machine learning (ML) techniques in outpa...

[LORENZO'S OIL AND ADRENOLEUKODYSTROPHY EXAMINING AN ARTIFICIAL INTELLIGENCE TOOL INTENDED FOR CONDUCTING LITERATURE SEARCHES AND ANALYSES].

Adrenoleukodystrophy is a genetic metabolic disorder characterized by a heterogeneous phenotype. Its...

Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently compli...

DD-PRiSM: a deep learning framework for decomposition and prediction of synergistic drug combinations.

Combination therapies have emerged as a promising approach for treating complex diseases, particular...

Browse Categories