Facial Recognition Can Reduce Racial Profiling and False Arrests

Facial Recognition Can Reduce Racial Profiling and False Arrests

The use of face recognition technology is expanding exponentially right now.

(© Prostock-studio/Adobe)


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Jonathan Turley
Professor Jonathan Turley is a nationally recognized legal scholar who has written extensively in areas ranging from constitutional law to legal theory to tort law. He holds the prestigious Shapiro Chair for Public Interest Law at the George Washington University Law School. In addition to his extensive publications, he has served as counsel in some of the most notable cases in the last two decades including the representation of whistleblowers, military personnel, former cabinet members, judges, members of Congress, and a wide range of other clients. Professor Turley is a frequent witness before Congress on constitutional and statutory issues. He is also a nationally recognized legal commentator and columnist as well as a television commentator. He was ranked as 38th in the top 100 most cited “public intellectuals” (and second most cited law professor) in a study by Judge Richard Posner. Professor Turley received his B.A. at the University of Chicago and his J.D. at Northwestern. In 2008, he was given an honorary Doctorate of Law from John Marshall Law School for his contributions to civil liberties and the public interest.
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.