Steroids are SO five minutes ago. Scientists, physicians and athletes say the new cheating technology is "gene doping" — injections of extra genes designed to make muscles bigger or boost endurance. A look at this emerging technology and what it could mean for professional sports and the health of athletes.

Guests

  • Osagie Obasogie Project Director on Race, Disability, and Eugenics, Center for Genetics and Society
  • Jose Canseco Former all-star baseball player and author of the book “Juiced: Wild Times, Rampant 'Roids, Smash Hits, and How Baseball Got Big”
  • Dr. Andy Miah Lecturer in Media, Bioethics and Cyberculture at the University of Paisley in Scotland; also author of the book "Genetically Modified Athletes"
  • Richard Pound Chairman, World Anti-Doping Agency
  • Dr. Gary Wadler Sports physician, clinical associate professor of medicine at New York University and expert on sports doping

Related Links

Topics + Tags

Comments

comments powered by Disqus
Most Recent Shows

American Journalist On Trial In Iran

Wednesday, May 27 2015The trial of Jason Rezaian, a Washington Post reporter being held in Iran, began this week behind closed doors--and was adjourned unexpectedly. We explore his case and Iran's habit of locking up members of the press.

Freedom Of Speech On The Frontlines

Wednesday, May 27 2015The Internet has made self expression easier than ever. But despite the burgeoning channels for free speech, there are dangerous limitations to this First Amendment right. Kojo speaks with journalist David Shipler about how this fundamental American right is still being tested.

Money Well Spent?: Navigating Charitable Giving

Tuesday, May 26 2015Last week the Federal Trade Commission announced that, along with all 50 states and the District of Columbia, it was taking legal action against four 'sham' cancer charities. Allegations that the groups deceived donors to the tune of $187 million have rippled through the non-profit world. We consider what red flags donors should be on the lookout for and how data can - and can't - help us decide who's a good actor.