Stem Cell Research

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 preparation. It is one of the most time-consuming tasks participating pathologists and oncologists face, limiting the number of cases that can be discussed in these specialized tumor boards and in turn can profit from a potential highly personalized therapy. Digital support is a necessity to enable m...

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

The integration of AI into healthcare has raised ethical concerns, including algorithmic bias, patient privacy, and accountability. Despite global efforts to establish ethical guidelines for AI, healthcare-specific AI ethics frameworks are actively evolving, with common principles emerging but not yet widely adopted in practice. This study focuses on English-language policy documents and maps glob...

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 and nephrosis by promoting the excretion of excess b...

KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference

Gene regulatory network (GRN) inference serves as a cornerstone for deciphering cellular decision-making processes. Early approaches rely exclusivel...

Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies.

Metadata, or "data about data," is essential for organizing, understanding, and managing large-scale omics datasets. It enhances data discovery, integ...

Exploring the Opportunities and Challenges of Healthcare Innovation in UK Higher Education: A Narrative Review.

: The healthcare sector is under increasing pressure due to an ageing population, rising multimorbidity, and a projected global workforce shortage of ...

Integrating Dynamic Red Blood Cell Distribution Width Monitoring and β-Blocker Therapy for Mortality Prediction in Intensive Care Unit Cardiomyopathy Patients: A Bayesian Multivariate Joint Model and Machine Learning Study.

Cardiomyopathy is a key cause of cardiovascular mortality in critically ill patients. Although red blood cell distribution width (RDW) is recognized ...

Ethics: Crisis Standards of Care Simulation.

Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, ventilators and other critical equipment, and pharm...

Removing Watermarks with Partial Regeneration using Semantic Information

As AI-generated imagery becomes ubiquitous, invisible watermarks have emerged as a primary line of defense for copyright and provenance. The newest ...

Deep Learning Based Surface Classification of Functionalized Polymer Coatings.

Low-technology characterization of material surfaces poses a challenge of significant importance for many scientific fields such as medical implants, ...

Human Rights and Artificial Intelligence in Healthcare-Related Settings: A Grammar of Human Rights Approach.

This article examines the expanding role of Artificial Intelligence (AI) in healthcare and associated human rights concerns, including whether new EU ...

Innovative Strategies in the Diagnosis and Treatment of Liver Cirrhosis and Associated Syndromes.

Liver cirrhosis continues to be a major global health issue, contributing to high morbidity and mortality due to its progressive nature and associated...

AI-guided laser purification of human iPSC-derived cardiomyocytes for next-generation cardiac cell manufacturing.

Current methods for producing cardiomyocytes from human induced pluripotent stem cells (hiPSCs) using 2D monolayer differentiation are often hampered ...

Active Learning-Based Prediction of Drug Combination Efficacy.

Combination therapy, which involves the use of multiple drugs, has emerged as a promising approach to cancer treatment. However, traditional combinati...

Application of bacteria-mediated gene therapy in tumor treatment.

INTRODUCTION: Gene therapy refers to the use of vectors to introduce target genes into target cells to exert a therapeutic effect on tumors. As a new ...

Benchmarking Ethical and Safety Risks of Healthcare LLMs in China-Toward Systemic Governance under Healthy China 2030

Large Language Models (LLMs) are poised to transform healthcare under China's Healthy China 2030 initiative, yet they introduce new ethical and pati...

Mitigating Bias in Machine Learning Models with Ethics-Based Initiatives: The Case of Sepsis.

This paper discusses ethics-based strategies for mitigating bias in machine learning models used to predict sepsis onset. The first part discusses how...

A Machine Learning-Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia.

Combination therapies are one potential approach to improve the outcomes of patients with refractory or relapsed disease. However, comprehensive testi...

Domain-specific AI segmentation of IMPDH2 rod/ring structures in mouse embryonic stem cells.

BACKGROUND: Inosine monophosphate dehydrogenase 2 (IMPDH2) is an enzyme that catalyses the rate-limiting step of guanine nucleotides. In mouse embryon...

The Society of Thoracic Radiology Mentorship Program: A Paradigm for Professional Societies.

The Society of Thoracic Radiology (STR) membership enthusiastically embraced the launch of its mentorship program, with peaks in participation and eng...