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Stem Cell Research

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

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Showing 22-42 of 4,986 articles
Early prediction of proton therapy dose distributions and DVHs for hepatocellular carcinoma using contour-based CNN models from diagnostic CT and MRI.

BACKGROUND: Proton therapy is commonly used for treating hepatocellular carcinoma (HCC); however, it...

Machine learning-based prediction of circuit clotting during pediatric continuous kidney replacement therapy sessions.

BACKGROUND: Continuous kidney replacement therapy (CKRT) is commonly used for managing acute kidney ...

Classification of patients with relapsed/refractory large B-cell lymphoma who do not develop early CRS/NE toxicity using ZUMA clinical trial data.

BACKGROUND: We aimed to develop an actionable and feasible prospective clinical model to estimate to...

Phage and enzyme therapies in wound infections: From lab to bedside.

Antibiotic-resistant (AR) bacterial wound infections (WIs) impose major burdens on healthcare system...

Neoantigen-driven personalized tumor therapy: An update from discovery to clinical application.

Neoantigens exhibit high immunogenic potential and confer a uniqueness to tumor cells, making them i...

The fall and rise of Iruda: Reassembling AI through ethics-in-action.

This paper examines the case of Iruda, an AI chatbot launched in December 2020 by the South Korean s...

Unraveling Liver Cirrhosis: Bridging Pathophysiology to Innovative Therapeutics.

Liver cirrhosis is a complex and progressive condition resulting from sustained liver injury and chr...

High-intensity interval training with robot-assisted gait therapy vs. treadmill gait therapy in chronic stroke: a randomized controlled trial.

OBJECTIVE: Stroke is a leading cause of long-term disability, significantly impacting patients' mobi...

Personalizing cancer therapy: the role of pharmacogenetics in overcoming drug resistance and toxicity.

Cancer pharmacogenetics has become a cornerstone of precision oncology. It offers the potential to o...

Technological advancements in sports injury: diagnosis and treatment.

Sports injuries are a significant concern for athletes at all levels of competition, ranging from ac...

Deep learning-based real-time detection of head and neck tumors during radiation therapy.

Clinical drivers for real-time head and neck (H&N) tumor tracking during radiation therapy (RT) are ...

Radiation enteritis associated with temporal sequencing of total neoadjuvant therapy in locally advanced rectal cancer: a preliminary study.

BACKGROUND: This study aimed to develop and validate a multi-temporal magnetic resonance imaging (MR...

A deep learning model for predicting radiation-induced xerostomia in patients with head and neck cancer based on multi-channel fusion.

OBJECTIVES: Radiation-induced xerostomia is a common sequela in patients who undergo head and neck r...

Exploring doctors' perspectives on precision medicine and AI in colorectal cancer: opportunities and challenges for the doctor-patient relationship.

BACKGROUND: Precision medicine and artificial intelligence (AI) are increasingly integrated into col...

"Screening" for End of Life Using Artificial Intelligence: A Qualitative Study of Palliative Care Team Members' Perspectives on Ethical Use.

Artificial intelligence (AI) tools for health care applications are rapidly emerging. Some AI-based...

Machine learning-based high-benefit approach versus traditional high-risk approach in statin therapy: the Shizuoka Kokuho database study.

Statins are widely prescribed for the primary prevention of cardiovascular diseases, yet individual ...

A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades.

Oral cancer (OC) remains a significant malignant neoplasm in both the developed and developing world...

Advancements in lung cancer: molecular insights, innovative therapies, and future prospects.

Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and dea...

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