Why the Panic Over "Designer Babies" Is the Wrong Worry

Why the Panic Over "Designer Babies" Is the Wrong Worry


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Hank Greely
Henry T. (Hank) Greely is the Deane F. and Kate Edelman Johnson Professor of Law and Professor, by courtesy, of Genetics at Stanford University. He specializes in ethical, legal, and social issues arising from advances in the biosciences, particularly from genetics, neuroscience, and human stem cell research. He directs the Stanford Center for Law and the Biosciences and the Stanford Program on Neuroscience in Society; chairs the California Advisory Committee on Human Stem Cell Research; is the President Elect of the International Neuroethics Society; and serves on the Neuroscience Forum of the National Academy of Medicine; the Committee on Science, Technology, and Law of the National Academy of Sciences; and the NIH Multi-Council Working Group on the BRAIN Initiative. He was elected a fellow of the American Association for the Advancement of Science in 2007. His book, The End of Sex and the Future of Human Reproduction, was published in May 2016.
A new type of cancer therapy is shrinking deadly brain tumors with just one treatment

MRI scans after a new kind of immunotherapy for brain cancer show remarkable progress in one patient just days after the first treatment.

Mass General Hospital

Few cancers are deadlier than glioblastomas—aggressive and lethal tumors that originate in the brain or spinal cord. Five years after diagnosis, less than five percent of glioblastoma patients are still alive—and more often, glioblastoma patients live just 14 months on average after receiving a diagnosis.

But an ongoing clinical trial at Mass General Cancer Center is giving new hope to glioblastoma patients and their families. The trial, called INCIPIENT, is meant to evaluate the effects of a special type of immune cell, called CAR-T cells, on patients with recurrent glioblastoma.

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Sarah Watts

Sarah Watts is a health and science writer based in Chicago.

Artificial Intelligence is getting better than humans at detecting breast cancer

A recent study in The Lancet Oncology showed that AI found 20 percent more cancers on mammogram screens than radiologists alone.

The Lancet Oncology

Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.

But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.

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Sarah Watts

Sarah Watts is a health and science writer based in Chicago.