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Liz Parrish: Why She Risked Everything on an Unproven Treatment

What would you do if medicine offered no answers?

Liz Parrish didn’t wait for FDA approval. She became the first person in the world to take multiple gene therapies, using her own body to test a future that medicine wasn’t ready for.

Since then, she’s taken 10 gene therapies, helped over 300 people treat conditions once considered untreatable, and challenged one of the biggest assumptions in healthcare:

👉 Should we treat aging the same way we treat disease?

In this talk, Liz shares how her personal decision created ripple effects across the world — and why gene therapy may be the first real step toward extending not just health span, but lifespan.

What you’ll hear:

James Dyson reveals the future of farming

How do you grow 2.5x more strawberries? James Dyson reveals how engineers designed and built a unique way to increase Dyson Farming’s strawberry output.

Strawberries available in the UK from:
@Ocado
@marksandspencer
@sainsburys

Discover more about Dyson Farming:
dysonfarming.com.
#Dyson #InsideDyson #DysonFarming

PCI-SIG Announces PCI-Express Gen 8 Specification: 256 Gbps Per Lane Per Direction, Arrives 2028

PCI-SIG today announced the PCI Express (PCIe) 8.0 specification will double the data of the PCIe 7.0 specification to 256.0 GT/s and is planned for release to members by 2028. “Following this year’s release of the PCIe 7.0 specification, PCI-SIG is excited to announce that the PCIe 8.0 specification will double the data rate to 256 GT/s, maintaining our tradition of doubling bandwidth every three years to support next-generation applications,” said Al Yanes, PCI-SIG President and Chairperson. “With the increasing data throughput required in AI and other applications, there remains a strong demand for high performance. PCIe technology will continue to deliver a cost-effective, high-bandwidth, and low-latency I/O interconnect to meet industry needs.”

AI-Powered Discovery of High-Performance Polymers for Heat Dissipation

In a groundbreaking step forward for polymer science and electronics cooling technology, researchers from Japan have leveraged artificial intelligence to identify a new class of liquid crystalline polyimides with remarkably high thermal conductivity. Their work, recently published in npj Computational Materials, combines data science, chemistry, and machine learning to accelerate the search for next-generation materials capable of efficiently dissipating heat in compact, high-performance electronics.

🔗 Original article on Phys.org

CRISPR-GPT Turns Novice Scientists into Gene Editing Experts

CRISPR technology has revolutionized biology, largely because of its simplicity compared to previous gene editing techniques. However, it still takes weeks to learn, design, perform, and analyze CRISPR experiments; first-time CRISPR users often end up with low editing efficiencies and even experts can make costly mistakes.

In a new study, researchers from Stanford University, Princeton University, and the University of California, Berkeley, teamed up with Google DeepMind to create CRISPR-GPT, an artificial intelligence (AI) tool that can guide researchers through every aspect of CRISPR editing from start to finish in as little as one day.1 The results, published in Nature Biomedical Engineering, demonstrate that researchers with no previous CRISPR experience could achieve up to 90 percent efficiency in their first shot at gene editing using the tool.

CRISPR-GPT is a large language model (LLM), a type of AI model that uses text-based input data. Led by Le Cong of Stanford University and Mengdi Wang of Princeton University, the team trained the model on over a decade of expert discussions, as well as established protocols and peer-reviewed literature. They designed it to cover gene knockout, base editing, prime editing, and epigenetic editing systems, and benchmarked the tool against almost 300 test questions and answers.

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