Stem Cell Research

The ethics of autonomous neurosurgical robots (ANRs).

It may only be a handful of years before fully autonomous neurosurgical robots (ANRs) are pushed int...

Navigating autonomy, privacy, and ageism in robot home care with aged users: A preliminary analysis of ROB-IN.

In this article, I propose an ethical analysis of assistive domestic robots for older users. In doin...

Evolving Therapeutic Landscape of Intracerebral Hemorrhage: Emerging Cutting-Edge Advancements in Surgical Robots, Regenerative Medicine, and Neurorehabilitation Techniques.

Intracerebral hemorrhage (ICH) is the most serious form of stroke and has limited available therapeu...

Early efficacy observation of suspended lower-limb rehabilitation robot-assisted therapy in patients with intensive care unit-acquired weakness: a study protocol for a self-controlled randomised controlled trial.

INTRODUCTION: Intensive care unit-acquired weakness (ICUAW) is a common and severe complication in c...

Harnessing artificial intelligence to address immune response heterogeneity in low-dose radiation therapy.

Low-dose radiation therapy has emerged as a promising modality for cancer treatment because of its a...

Clinical and economic effectiveness of Schroth therapy in adolescent idiopathic scoliosis: insights from a machine learning- and active learning-based real-world study.

BACKGROUND: Adolescent idiopathic scoliosis (AIS) is a prevalent musculoskeletal condition affecting...

Artificial intelligence and the impact of multiomics on the reporting of case reports.

The integration of artificial intelligence (AI) and multiomics has transformed clinical and life sci...

[Artificial intelligence empowering precision interventional therapy: the rise of computational coronary physiology].

Improvement of deep learning-based dose conversion accuracy to a Monte Carlo algorithm in proton beam therapy for head and neck cancers.

This study is aimed to clarify the effectiveness of the image-rotation technique and zooming augment...

SCIG: Machine learning uncovers cell identity genes in single cells by genetic sequence codes.

Deciphering cell identity genes is pivotal to understanding cell differentiation, development, and c...

Deep learning classification integrating embryo images with associated clinical information from ART cycles.

An advanced Artificial Intelligence (AI) model that leverages cutting-edge computer vision technique...

A cost-effective approach using generative AI and gamification to enhance biomedical treatment and real-time biosensor monitoring.

Biosensors are crucial to the diagnosis process since they are designed to detect a specific biologi...

Machine learning and single-cell analysis uncover distinctive characteristics of CD300LG within the TNBC immune microenvironment: experimental validation.

Investigating the essential function of CD300LG within the tumor microenvironment in triple-negative...

An AI-based automatic leukemia classification system utilizing dimensional Archimedes optimization.

Leukemia is a common type of blood cancer marked by the abnormal and uncontrolled proliferation and ...

Deep learning progressive distill for predicting clinical response to conversion therapy from preoperative CT images of advanced gastric cancer patients.

Identifying patients suitable for conversion therapy through early non-invasive screening is crucial...

Short Tandem Repeat (STR) Somatic Mutation in Non-Melanoma Skin Cancer (NMSC): Association with Transcriptomic Profile and Potential Implications for Therapy.

BACKGROUND: Studies on somatic mutations in cancer typically report single-nucleotide variants in co...

Mapping Ethical Guidelines for AI in Healthcare: A Global Perspective.

The integration of AI into healthcare has raised ethical concerns, including algorithmic bias, patie...

Participatory Design of an AI-Based CDSS for Delirium Prevention.

Delirium is a frequent and severe complication in inpatient care, leading to increased mortality and...

Participatory Co-Creation of an AI-Supported Patient Information System: A Multi-Method Qualitative Study.

In radiology and other medical fields, informed consent often rely on paper-based forms, which can o...

Building a Knowledge Base for Variant Annotation Using Therapy Recommendations in cBioPortal.

Molecular tumor boards present special challenges when it comes to information collection for case p...

Boi-Ogi-To, a Traditional Japanese Kampo Medicine, Promotes Cellular Excretion of Chloride and Water by Activating Volume-Sensitive Outwardly Rectifying Anion Channels.

The Japanese Kampo medicine Boi-ogi-to (BOT) is known as an effective therapeutic agent for edema an...