Research Articles
Organoids in Biomedicine: Revolutionizing Disease Modeling, Drug Discovery, and Personalized Medicine
Organoids, three-dimensional stem cell-derived cultures that mimic human organ architecture and function, are revolutionizing biomedical research.
Embryonic Stem Cell Organoids: Revolutionizing Disease Modeling and Drug Discovery
This article explores the transformative role of embryonic stem cell (ESC)-derived organoids in biomedical research and pharmaceutical development.
iPSC Organoids: Revolutionizing Disease Modeling and Drug Discovery in 2025
Induced pluripotent stem cell (iPSC)-derived organoids are revolutionizing biomedical research by providing physiologically relevant, human-specific models for studying disease mechanisms and accelerating drug development.
Adult Stem Cell-Derived Organoids: A New Paradigm for Disease Modeling and Drug Discovery
This article provides a comprehensive overview of adult stem cell (ASC)-derived organoids, detailing their foundational biology, methodological establishment, and transformative applications in biomedical research.
Beyond the Monolayer: How Organoids Are Redefining Biomedical Research Over Traditional 2D Cultures
This article provides a comprehensive comparison between three-dimensional organoids and traditional two-dimensional cell cultures for researchers and drug development professionals.
Zero-Shot vs. Fine-Tuning: A Strategic Guide to Maximizing Single-Cell Foundation Model Performance
This article provides a comprehensive framework for researchers, scientists, and drug development professionals to navigate the critical choice between zero-shot and fine-tuning approaches for single-cell Foundation Models (scFMs).
Benchmarking Single-Cell Foundation Models: Assessing Generalization Across Tissue Types and Clinical Applications
Single-cell foundation models (scFMs) have emerged as transformative tools for analyzing cellular heterogeneity, yet their ability to generalize across diverse tissue types and realistic clinical scenarios remains a critical, unanswered...
The scFM Reality Check: Evaluating Perturbation Effect Prediction for Biomedical Discovery
Single-cell foundation models (scFMs) promise to predict transcriptomic responses to genetic perturbations, offering a powerful in silico tool for drug target discovery and functional genomics.
Single-Cell Foundation Models vs. Traditional Machine Learning: A Comprehensive Benchmark and Practical Guide
The advent of single-cell foundation models (scFMs) represents a paradigm shift in the analysis of single-cell genomics data.
Bridging the Valley of Death: Key Challenges and Emerging Solutions in scFv Clinical Translation
The clinical translation of single-chain variable fragments (scFvs) represents a promising yet challenging frontier in therapeutic development.