STAT’s weekly biotech podcast, breaking down the latest news, digging deep into industry goings-on, and giving you a preview of the week to come.
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With the first CRISPR-based medicine expected to win FDA approval any minute now, STAT’s Megan Molteni joins us to discuss how we got here and what it means for the future. Then, Bruce Booth from Atlas Venture joins us to discuss what was yet another... more
We discuss why AbbVie is spending $10 billion on a cancer-focused company that spent four decades on the path to its first FDA approval, a deal with implications for biotech in 2023 and for a burgeoning area in oncology. We’ll also talk about the lat... more
Our colleague Casey Ross joins us to tell the bombshell story of how the nation's largest health insurer used a computer algorithm to deny patient care and boost its profitability. Then, biotech veteran Michael Gilman calls in to offer a behind-the-s... more
Amazing content — the podcast hosts really understand the biopharma field (both the science and history) and their jokes are also quite funny.
Great content, smart hosts but that theme song/intro is jarring and amateurish.
Absolutely thrilled about this phenomenal podcast centered on pharma and biotech news! Weekly episodes are fantastic, though I’d be over the moon if they could dive even deeper and extend the show’s length. Keep up the awesome work! Welcome back, Allison (DeAngelis)!
An engaging, informative podcast on the latest movers and shakers of the biotech and pharma industry. FYI, it does require some basic prior knowledge of pharma and medical concepts. The hosts and guests are fun, enthusiastic, and are able to turn the sometimes dry and academic topics into a stimulating conversation.
Great podcast! Focus on news and not sales pitch like interviews such as that recent Novovax piece. Keep up the good work!
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The Readout Loud launched 6 years ago and published 288 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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