Hypothesize That!
Hypothesize That!
✓

Secrecy in Science vs. Risk-Averse Funding | Hypothesize That! (CRIMES AGAINST INNOVATION)

00:13:43
Podcasts
RSS
Link

ÜBER DIESE EPISODE

Deep in the shadowy corridors of laboratories and the silent pages of medical journals, progress can falter, not for lack of brilliance, but because of the systems surrounding it. Ideas are delayed, discoveries are hidden, and bold thinking is quietly discouraged. This is Crimes Against Innovation.

 

Join Professor Maddie Parsons and Dr Graham Price as they go head-to-head on two major offenders in healthcare innovation. Maddie argues that playing it safe and avoiding high-risk research is suppressing transformative breakthroughs, while Graham challenges that the bigger crime is secrecy in science - a true assassin of progress.

 

Host Nicola Hill weighs the evidence and delivers the verdict on which of these “crimes” does the greatest damage to discovery.

This podcast is produced and funded by UCB.

 

Hosted on Acast. See acast.com/privacy for more information.

 

This podcast is produced and funded by UCB.

 

GL-OT-2600003 – March 2026

Hosted on Acast. See acast.com/privacy for more information.

Wissenschaft
Gesundheit und Fitness
Bildung
Englisch
Vereinigte Staaten
Verwenden SieAPI, um diese Episode inJSONabzurufen

IN DIESER FOLGE

Diese Tags bearbeiten

TRANSKRIPT 🔗

Are you the producer of this podcast? Add a podcast transcript
Need Audio-to-Text? Transcribe with Listen411 in Just 60 Seconds

VERGANGENE FOLGEN SUCHEN

Vorhandene Folgen von Hypothesize That! durchsuchen.
Betten Sie diese Suchleiste in Ihre Website ein

WEITERE EPISODEN IN DIESEM PODCAST

Academic System vs Irreproducible Science | Hypothesize That! (CRIMES AGAINST INNOVATION)

Academic System vs Irreproducible Science | Hypothesize That! (CRIMES AGAINST INNOVATION)

In this special Crimes Against Innovation episode, host Nicola Hill hears two charges against the research system.   Professor Raj Chovatiya argues that the academic model is putting the brakes on innovation, squeezing creativity and collaboration. Meanwhile, Dr Joe Rastrick condemns the irre…
00:13:59
TEILEN
SPEICHERN
Smart Drugs, Dumb Trials: Rethinking the Foundations of Drug Development | Hypothesize That!

Smart Drugs, Dumb Trials: Rethinking the Foundations of Drug Development | Hypothesize That!

Are today’s clinical trials fit for the future of medicine, or are they holding innovation back?   In this episode, host Nicola Hill, is joined by Professor Maddie Parsons, Dean of Research Excellence Frameworks at King’s College London, and Dr Graham Price, Head of Global Clinical Developme…
00:31:59
TEILEN
SPEICHERN
Beyond One: How Will Multi-Specific Therapies Redefine Modern Medicine? | Hypothesize That!

Beyond One: How Will Multi-Specific Therapies Redefine Modern Medicine? | Hypothesize That!

In this episode, we ask a defining question: will multi-specific therapies revolutionize how we treat complex diseases? Host Nicola Hill is joined by Dr Joe Rastrick (UCB) and Professor Raj Chovatiya (Rosalind Franklin University) to examine whether medicines engineered to target multiple pathways …
00:30:35
TEILEN
SPEICHERN
Gender Bias in Trials vs. Five-to-Ten-Year Promise | Hypothesize That! (CRIMES AGAINST INNOVATION)

Gender Bias in Trials vs. Five-to-Ten-Year Promise | Hypothesize That! (CRIMES AGAINST INNOVATION)

In the darkened corridors of laboratories and the silent pages of medical journals, there are stories rarely spoken about—tales of brilliance that burned too bright, and ideas that strayed into catastrophe. This is—Crimes Against Innovation.   Laurence Woollard and Dr. Emma Lane debate two pre…
00:10:16
TEILEN
SPEICHERN
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von UCB Biopharma, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.
PROMOTED
Listen411.com: Lightning-fast Podcast Transcription and Summarization. Transcribe 1-hour audio in under 1 minute. Pay-as-you-go.
Listen411.com: Lightning-fast Podcast Transcription and Summarization. Transcribe 1-hour audio in under 1 minute. Pay-as-you-go.
Audio to Text

EMPFEHLUNGEN
API benutzen um diese Episode zu bekommen