Discovery of efficient anti-cancer drugs and drug combinations is essential for therapy success. Therefore, it is crucial that new methods for efficient drug efficacy testing are developed to support ...

Most cells in the human body exist in complex three-dimensional environments, yet they are still commonly studied on flat plastic dishes. These two-dimensional cultures distort cell behavior, limiting ...

2.5-dimensional cell growth approaches, enhanced by plasmas, are the likely future for applications in medicine and ...

Machine learning can help improve drug production from cell culture by fine-tuning and quantifying cell culture media experiments. That’s the view of Bei-Wen Ying, PhD, a researcher from the ...

Whether for drug screening or toxicity testing, stem cell-based 3D tissue models are key to biomedical research. However, ...

Extracellular vesicles and particles are central to how cells communicate, especially in cancer, where they help shape metastasis and treatment resistance. However, most existing methods analyze ...

A company using artificial intelligence to develop bespoke cell cultures says that it has the potential to slash manufacturing times. Tolemy Bio claims that their machine learning algorithms can ...

When scientists grow cells in culture, they fine tune factors such as medium ingredients, cell number, and incubator temperature to mimic the human body. However, one culture condition that ...

Examining cellular processes involved in health and disease is fundamental to biological research and often requires scientists to grow cells in an artificial environment. However, cells in culture ...

Assessing the toxicity of food contaminants—including carcinogenic potential—is a major challenge in evaluating the risks ...