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🔒 AI and Clinical Trials: Faster Results, Bigger Risks?

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Manage episode 447282527 series 3506216
Treść dostarczona przez Darshan Kulkarni. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Darshan Kulkarni lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Subscriber-only episode

In this episode, we’re diving into a crucial topic: the role of artificial intelligence in clinical research and the evolving landscape of data privacy laws that will impact every step of the process.
In this episode, we’ll be unpacking insights from Dr. ElZarrad, the FDA’s Deputy Director for the Office of Medical Policy, on how AI is shaping clinical trial design and research. We’ll also explore how AI can speed up trials, enhance patient recruitment, and even predict outcomes with greater accuracy. But with these advancements comes a significant responsibility, especially when it comes to patient data privacy. We'll talk about how laws like HIPAA, GDPR, CCPA, and others play a crucial role in safeguarding sensitive patient data at every step of AI development.
If you're as passionate about the future of clinical research as we are, hit **like, subscribe, and share—it really helps grow the channel!
Now, let’s start from the beginning: Why is AI such a game-changer in clinical research? Well, it enables researchers to analyze vast datasets quickly, allowing for more tailored, personalized therapies. It’s a breakthrough for precision medicine and personalized healthcare, and if we get this right, it could transform the entire industry.
Dr. Dr. ElZarrad from the FDA highlights how AI can identify eligible patients more effectively and analyze real-time data, speeding up clinical trials significantly. AI also supports the rise of decentralized trials, where patients can participate remotely, making trials more accessible and diverse. This shift will be crucial, especially given the recent clinical trials guidance and the growing role of telemedicine.
Of course, with this technological power comes the critical need for transparency and patient consent. AI relies heavily on sensitive data like medical histories, genetic information, and treatment responses. We’ll also dive into the different layers of privacy laws—from data collection to tracking and communication regulations—and discuss why ensuring compliance at every stage is essential for maintaining trust and avoiding major legal pitfalls.
Stay tuned as we break down these complexities and offer practical tips for staying compliant in this ever-evolving space.

  continue reading

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Artwork
iconUdostępnij
 
Manage episode 447282527 series 3506216
Treść dostarczona przez Darshan Kulkarni. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Darshan Kulkarni lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Subscriber-only episode

In this episode, we’re diving into a crucial topic: the role of artificial intelligence in clinical research and the evolving landscape of data privacy laws that will impact every step of the process.
In this episode, we’ll be unpacking insights from Dr. ElZarrad, the FDA’s Deputy Director for the Office of Medical Policy, on how AI is shaping clinical trial design and research. We’ll also explore how AI can speed up trials, enhance patient recruitment, and even predict outcomes with greater accuracy. But with these advancements comes a significant responsibility, especially when it comes to patient data privacy. We'll talk about how laws like HIPAA, GDPR, CCPA, and others play a crucial role in safeguarding sensitive patient data at every step of AI development.
If you're as passionate about the future of clinical research as we are, hit **like, subscribe, and share—it really helps grow the channel!
Now, let’s start from the beginning: Why is AI such a game-changer in clinical research? Well, it enables researchers to analyze vast datasets quickly, allowing for more tailored, personalized therapies. It’s a breakthrough for precision medicine and personalized healthcare, and if we get this right, it could transform the entire industry.
Dr. Dr. ElZarrad from the FDA highlights how AI can identify eligible patients more effectively and analyze real-time data, speeding up clinical trials significantly. AI also supports the rise of decentralized trials, where patients can participate remotely, making trials more accessible and diverse. This shift will be crucial, especially given the recent clinical trials guidance and the growing role of telemedicine.
Of course, with this technological power comes the critical need for transparency and patient consent. AI relies heavily on sensitive data like medical histories, genetic information, and treatment responses. We’ll also dive into the different layers of privacy laws—from data collection to tracking and communication regulations—and discuss why ensuring compliance at every stage is essential for maintaining trust and avoiding major legal pitfalls.
Stay tuned as we break down these complexities and offer practical tips for staying compliant in this ever-evolving space.

  continue reading

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