Gene therapy could potentially cure genetic diseases but it remains a challenge to package and deliver new genes to specific cells safely and effectively. Existing methods of engineering one of the most commonly used gene-delivery vehicles, adeno-associated viruses (AAV), are often slow and inefficient.
Machine learning approach helps researchers design better gene-delivery vehicles for gene therapy ." ScienceDaily. ScienceDaily, 9 August 2024. <www.sciencedaily.comBroad Institute of MIT and Harvard. . Machine learning approach helps researchers design better gene-delivery vehicles for gene therapy .
Cell and gene therapies hold promise for treating various diseases, but technology to deliver targeted medicines to specific cells is lacking. Engineered cells produce multifunctional particles, ... Gene therapy has been heralded as the new frontier of medicine, but there are still many limitations to current technologies; among them, how to deliver therapeutic genes to specific cells, and only ...
The blood-brain barrier is an imposing foe for gene therapy. Formed of cells wedged tightly together, the BBB keeps toxins and pathogens that may be present in the blood from entering brain ... Researchers have identified a novel cellular entry factor for adeno-associated virus vector types -- the most commonly used viral vectors for in vivo gene therapy. The researchers identified ...Smell of Human Stress Affects Dogs' Emotions Leading Them to Make More Pessimistic Choices
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