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Drug Diaries
เข้าร่วมเมื่อ 30 เม.ย. 2024
Welcome to "Drug Diaries," the podcast exploring pharmaceuticals, life sciences, and biotechnology. Host Kaushik Trivedi, with over two decades of industry experience, shares his expertise. Kaushik has worked with IQVIA, Cognizant, Wipro, and more, and holds degrees in pharmaceutical chemistry, marketing, and advertising.
Kaushik's expertise spans:
- Data-Driven GTM & Customer Engagement
- CRM, Marketing Cloud, SFE, & Commercial Analytics
- AI/ML/NLP in Life Sciences
- Population Health Management
- IoT & Connected Devices
- Content Production & MLR Approval
- R&D, Clinical, Pharmacovigilance, Medical, & Regulatory
- Business Transformation
"Drug Diaries" covers research, drug discovery, AI in health, GTM strategies, customer engagement, analytics, patient safety, product engineering, and more. Join Kaushik for insights and discussions on the ever-evolving pharma and biotech landscape. Each episode is a deep dive into the industry's heart. Welcome to "Drug Diaries."
Kaushik's expertise spans:
- Data-Driven GTM & Customer Engagement
- CRM, Marketing Cloud, SFE, & Commercial Analytics
- AI/ML/NLP in Life Sciences
- Population Health Management
- IoT & Connected Devices
- Content Production & MLR Approval
- R&D, Clinical, Pharmacovigilance, Medical, & Regulatory
- Business Transformation
"Drug Diaries" covers research, drug discovery, AI in health, GTM strategies, customer engagement, analytics, patient safety, product engineering, and more. Join Kaushik for insights and discussions on the ever-evolving pharma and biotech landscape. Each episode is a deep dive into the industry's heart. Welcome to "Drug Diaries."
Raghav Sehgal's AI Aging BREAKTHROUGH Will Change Everything!
Discover the groundbreaking AI aging breakthrough by Raghav Sehgal! This technology will revolutionize longevity and health - a game-changer in the world of computational biology and venture capital.
keywords
artificial intelligence, aging, longevity, health technology, biomarkers, DNA methylation, venture capital, ethical considerations, personalized medicine, computational biology
summary
In this episode of Drug Diaries, host Kaushik Trivedi engages with Raghav Saigal, a computer scientist and researcher at the forefront of using AI and computational tools to revolutionize our understanding of aging. They discuss the potential of technology to unlock the secrets of longevity, the influence of key figures in the field, the challenges of bias in data, and the role of venture capital in advancing longevity research. Raghav shares insights on biomarkers, DNA methylation, and the ethical considerations surrounding AI in health technology. The conversation also touches on the importance of government support and the future of longevity technologies.
takeaways
Artificial intelligence is transforming our understanding of aging.
Raghav's journey highlights the intersection of computer science and biology.
Dr. Morgan Levine's work has significantly influenced aging research.
Aging varies across different organs, necessitating personalized approaches.
Computational methods are essential for quantifying aging.
Bias in data collection poses challenges in aging research.
Clinical biomarkers are useful but have limitations in predicting aging.
DNA methylation plays a critical role in gene expression and aging.
Venture capital is crucial for translating scientific research into practical applications.
Governments must shift towards preventative healthcare to address aging populations.
titles
Unlocking the Secrets of Aging with AI
Raghav Saigal: Pioneering Longevity Research
Sound Bites
"What if we view aging as a disease?"
"Aging varies from organ to organ."
"The science must translate to patients."
Chapters
00:00 Unlocking the Secrets of Aging
01:48 From Computer Science to Longevity Research
04:42 The Influence of Mentorship in Aging Science
07:36 Quantifying Aging: The Role of Computational Approaches
10:40 Bias in Aging Research: Challenges and Solutions
13:21 Exploring Biomarkers in Aging
15:29 Understanding DNA Methylation
19:12 Innovative Startups in Longevity Tech
26:56 The Role of Venture Capital in Longevity Research
29:51 AI and Machine Learning in Predicting Longevity
37:08 Addressing Bias in AI and Ethical Considerations
43:03 The Future of Longevity Technologies
49:56 Government and Industry Collaboration in Longevity Research
54:53 Challenges in Longevity Interventions and Practical Implementation
01:04:19 Advice for Future Researchers in Longevity and Technology
keywords
artificial intelligence, aging, longevity, health technology, biomarkers, DNA methylation, venture capital, ethical considerations, personalized medicine, computational biology
summary
In this episode of Drug Diaries, host Kaushik Trivedi engages with Raghav Saigal, a computer scientist and researcher at the forefront of using AI and computational tools to revolutionize our understanding of aging. They discuss the potential of technology to unlock the secrets of longevity, the influence of key figures in the field, the challenges of bias in data, and the role of venture capital in advancing longevity research. Raghav shares insights on biomarkers, DNA methylation, and the ethical considerations surrounding AI in health technology. The conversation also touches on the importance of government support and the future of longevity technologies.
takeaways
Artificial intelligence is transforming our understanding of aging.
Raghav's journey highlights the intersection of computer science and biology.
Dr. Morgan Levine's work has significantly influenced aging research.
Aging varies across different organs, necessitating personalized approaches.
Computational methods are essential for quantifying aging.
Bias in data collection poses challenges in aging research.
Clinical biomarkers are useful but have limitations in predicting aging.
DNA methylation plays a critical role in gene expression and aging.
Venture capital is crucial for translating scientific research into practical applications.
Governments must shift towards preventative healthcare to address aging populations.
titles
Unlocking the Secrets of Aging with AI
Raghav Saigal: Pioneering Longevity Research
Sound Bites
"What if we view aging as a disease?"
"Aging varies from organ to organ."
"The science must translate to patients."
Chapters
00:00 Unlocking the Secrets of Aging
01:48 From Computer Science to Longevity Research
04:42 The Influence of Mentorship in Aging Science
07:36 Quantifying Aging: The Role of Computational Approaches
10:40 Bias in Aging Research: Challenges and Solutions
13:21 Exploring Biomarkers in Aging
15:29 Understanding DNA Methylation
19:12 Innovative Startups in Longevity Tech
26:56 The Role of Venture Capital in Longevity Research
29:51 AI and Machine Learning in Predicting Longevity
37:08 Addressing Bias in AI and Ethical Considerations
43:03 The Future of Longevity Technologies
49:56 Government and Industry Collaboration in Longevity Research
54:53 Challenges in Longevity Interventions and Practical Implementation
01:04:19 Advice for Future Researchers in Longevity and Technology
มุมมอง: 160
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Exploring Condensate Science: A New Frontier in Treating Ovarian Cancer and ALS
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Inspiring Hope: Overcoming Duchenne Muscular Dystrophy
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Introducing Drug Diaries: Navigating the World of Life Sciences
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❤❤
Thank you so much for this amazing video! I need some advice: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). What's the best way to send them to Binance?
Very interesting. Thank you.
Glad you enjoyed it, Claudia!
I like David sinclair
Thomas Susan Williams Anna Miller Jessica
Miller Barbara Brown Anthony Anderson Nancy
This showed up on its own bro ❤
Insightful, I hope this page can reach out to the upcoming generation of biotech, life sciences students too the cell senescence and role of epigenetics have been articulated very well. Learning becomes easier with a good teacher
@@vedaish thank you so much, really appreciate your kind and encouraging words!
dear friend, it is good to see it at least from this medium and congratulations
@@charliemedinadoncel2358, thank you very much for your kind wishes, much appreciated!
Wish you very best , following .
Incredible initiative Kaushik..more power to you 👍🏻👍🏻
Well said Kaushik! Keep inspiring ...
This is a great beginning Kaushik..all the very best
@@princybhatnagar7975, very kind and encouraging words! Thank you so much!
Great podcast!
❤❤👏👏👏👏