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How Will AI and Machine Learning Affect the MSL
In this episode, Tom Caravela is joined by Dr. Sanjay Singhvi to delve into the transformative role of AI in medical affairs. They discuss AI's ability to address industry challenges, its practical applications for MSLs, and its impact on decision-making processes. The conversation extends to AI's utility for managers in trend analysis and resource allocation. They also explore how AI can benefit job seekers and entry-level MSLs, particularly in resume optimization and interview preparation. The episode wraps up with insights into current industry trends and a reflection on AI's limitations, concluding with sponsor acknowledgments and closing remarks.
Dr Sanjay Singhvi, Director at VMLY&R Health discusses how artificial intelligence and machine learning will affect the role of the MSL.
This episode is sponsored by the Digital Solutions division at VMLY&R Health. **VMLY&R Health is a global agency united around a single purpose: improving health all over the world by making science meaningful. For more details about their innovative technology solutions designed specifically for Medical Affairs, please visit https://www.vmlyr.com/health/digitalsolutions
**Sanjay shares…
👉 Where AI and Machine Learning fit into the medical affairs landscape
👉 What MSLs need to know about technology in the current time
👉 How AI and ML affect the actual role of the MSL on a daily basis
👉 How AI and ML affect the MSL job seeker and those looking to break into industry
👉 What requests typically come to him from MSLs and pharma companies
👉 How AI and ML affect MSL Managers and Leaders
The podcast is available through the links below:
️ ️ 〰️ Spotify: https://lnkd.in/dRrSEyn
️ ️ 〰️ Apple: https://lnkd.in/egSthAz
️ ️ 〰️ Stitcher: https://lnkd.in/eqB-2wb
📣 Now on YouTube 📣
Please subscribe: https://www.youtube.com/channel/UCS7XTUuk1XF5Tm5InADY6cA
📣 Now on Instagram 📣
Please subscribe:
https://www.instagram.com/msl_talk_podcast/
MSL Talk is a podcast that features helpful information for current Medical Science Liaisons, Medical Affairs leaders, job seekers looking to break into the pharmaceutical industry in their first MSL role as well as anyone interested in hearing good industry conversation and medical affairs discussions.
#msl #medicalaffairs #medicalscienceliaison #MSLTalk #pharmaceutical
(0:00) Introduction and guest welcome
(0:48) Guest introduction and background
(2:04) Sponsor: VMLY&R Health
(3:12) Understanding AI in medical affairs
(4:45) AI's role in solving industry pains
(6:05) AI relevance and applications for MSLs
(9:05) Practical AI tools for MSLs
(11:10) AI's impact on MSL roles and decision-making
(17:30) AI for managers: trend analysis and resource allocation
(22:54) Final thoughts on AI limitations and problem-solving
(24:01) AI's role for job seekers and entry-level MSLs
(25:52) Leveraging AI in resume optimization and interviews
(28:08) Current industry requests and medical affairs insights
(30:12) Wrap-up and Sponsor: vmlyr.com/health/digitalsolutions
(30:47) Closing remarks and personal banter
View all episodes
By MSL Talk Podcast
4.8
125125 ratings
In this episode, Tom Caravela is joined by Dr. Sanjay Singhvi to delve into the transformative role of AI in medical affairs. They discuss AI's ability to address industry challenges, its practical applications for MSLs, and its impact on decision-making processes. The conversation extends to AI's utility for managers in trend analysis and resource allocation. They also explore how AI can benefit job seekers and entry-level MSLs, particularly in resume optimization and interview preparation. The episode wraps up with insights into current industry trends and a reflection on AI's limitations, concluding with sponsor acknowledgments and closing remarks.
Dr Sanjay Singhvi, Director at VMLY&R Health discusses how artificial intelligence and machine learning will affect the role of the MSL.
This episode is sponsored by the Digital Solutions division at VMLY&R Health. **VMLY&R Health is a global agency united around a single purpose: improving health all over the world by making science meaningful. For more details about their innovative technology solutions designed specifically for Medical Affairs, please visit https://www.vmlyr.com/health/digitalsolutions
**Sanjay shares…
👉 Where AI and Machine Learning fit into the medical affairs landscape
👉 What MSLs need to know about technology in the current time
👉 How AI and ML affect the actual role of the MSL on a daily basis
👉 How AI and ML affect the MSL job seeker and those looking to break into industry
👉 What requests typically come to him from MSLs and pharma companies
👉 How AI and ML affect MSL Managers and Leaders
The podcast is available through the links below:
️ ️ 〰️ Spotify: https://lnkd.in/dRrSEyn
️ ️ 〰️ Apple: https://lnkd.in/egSthAz
️ ️ 〰️ Stitcher: https://lnkd.in/eqB-2wb
📣 Now on YouTube 📣
Please subscribe: https://www.youtube.com/channel/UCS7XTUuk1XF5Tm5InADY6cA
📣 Now on Instagram 📣
Please subscribe:
https://www.instagram.com/msl_talk_podcast/
MSL Talk is a podcast that features helpful information for current Medical Science Liaisons, Medical Affairs leaders, job seekers looking to break into the pharmaceutical industry in their first MSL role as well as anyone interested in hearing good industry conversation and medical affairs discussions.
#msl #medicalaffairs #medicalscienceliaison #MSLTalk #pharmaceutical
(0:00) Introduction and guest welcome
(0:48) Guest introduction and background
(2:04) Sponsor: VMLY&R Health
(3:12) Understanding AI in medical affairs
(4:45) AI's role in solving industry pains
(6:05) AI relevance and applications for MSLs
(9:05) Practical AI tools for MSLs
(11:10) AI's impact on MSL roles and decision-making
(17:30) AI for managers: trend analysis and resource allocation
(22:54) Final thoughts on AI limitations and problem-solving
(24:01) AI's role for job seekers and entry-level MSLs
(25:52) Leveraging AI in resume optimization and interviews
(28:08) Current industry requests and medical affairs insights
(30:12) Wrap-up and Sponsor: vmlyr.com/health/digitalsolutions
(30:47) Closing remarks and personal banter
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