Katie Galloway
Over the last decade, advances in genome engineering and stem cell biology have massively expanded the potential of engineered cells as therapeutics. However, engineering mammalian cells remains limited by inefficient methods of genome engineering, slow workflows, and unpredictable outcomes. As a chemical engineer working at the intersection of stem cell biology, synthetic biology, and molecular systems biology, I aim to make the programming of human cells fast, reliable, and efficient. Using a combination of molecular engineering and computational modeling, my lab is accelerating the rate at which we develop genetic programs to scalably engineer cells for diverse applications in biotechnology and biomedical research including neuron replacement therapies.
MIT
AI 'Cheat Codes' Speed Therapeutic Cell Creation via Transcription Factors
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One of the biggest challenges faced by the regenerative medicine field today is the ability to efficiently and scalably generate therapeutic cells. This session explores cutting-edge transcription factor-based approaches for rapid and efficient differentiation of stem cells into therapeutic cell types. We will examine how synthetic biology techniques are revolutionizing cell therapy by enabling faster production of clinically relevant cells. Speakers will discuss recent advances, challenges, and future directions in harnessing transcription factors for directed differentiation, with a focus on applications in regenerative medicine and drug discovery.
