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The price of a drug should be based on its therapeutic benefits – not just what the market will bear


The U.S. pharmaceutical industry has innovated in response to the pandemic, providing not only vaccines but also therapies to treat people with COVID-19. But an outdated law designed to spur development of lifesaving drugs risks making new treatments – for COVID-19 as well as other diseases – unaffordable for many Americans.
Many pharmaceutical companies rely on the Orphan Drug Act, which President Ronald Reagan signed into law in 1983, to bring cutting-edge treatments to market quickly. The act gives pharmaceutical companies tax credits, market exclusivity and other incentives to develop drugs for “orphan” diseases, which are defined as illnesses that afflict fewer than 200,000 people in the U.S. Such diseases include amyotrophic lateral sclerosis and Tourette syndrome, but also ones like malaria that are rare in the U.S. but are major killers globally. ....

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How explainable artificial intelligence can help humans innovate


However, these AI algorithms cannot explain the thought processes behind their decisions. A computer that masters protein folding and also tells researchers more about the rules of biology is much more useful than a computer that folds proteins without explanation.
Therefore, AI researchers like me are now turning our efforts toward developing AI algorithms that can explain themselves in a manner that humans can understand. If we can do this, I believe that AI will be able to uncover and teach people new facts about the world that have not yet been discovered, leading to new innovations.
When machines are left to learn and solve problems through their own experience, this is called reinforcement learning. ....

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