Doing MLOps for Clinical Research Studies With Silas Bempong and Abhijit Ramesh 🔎🔍
🎞️ · 21.03.2023 · 16:44:15 ··· Dienstag ⭐ 0 🎬 0
📺neptune_ai
🎬 · 21.03.2023 · 16:44:15 ··· Dienstag
😎 · 03.07.2024 · 15:40:29 ··· MiTTwoch
On this episode of MLOps Live we have Silas Bempong and Abhijit Ramesh as our guests. Silas and Abhijit share their experience and answer your questions about doing MLOps for clinical research studies.
MLOps Live is a biweekly Q&A show where practitioners doing ML at a reasonable scale answer questions from other ML practitioners. Every episode focused on one specific subject related to MLOps. Only the juicy bits, the things you won’t find in a company blog post.
00:00 Introduction to MLOps Live
03:31 The value that MLOps adds to businesses and the world
05:49 How ML and AI helps to democratize healthcare?
10:26 How Theta Tech understands the MLOps workflow?
15:19 The deployment process at Theta Tech - is it all done manually?
20:16 How often is zero-shot or few-shot learning used in projects?
23:30 Data can be severely limited sometimes, especially in the health sector - how do you deal with that?
27:22 The elephant in the room: generative AI
29:36 Tackling bad quality data
32:53 How to manage models and make sure they are up to date?
35:01 Can we use supervised learning to improve the performance of a generative AI model?
37:45 Do you need a degree in biology or biotech before contributing to clinical research? How much of a medicine background do you need in this field?
41:59 Can generative AI models be used to identify potential off-target effects and toxicity of drugs? If so, how complex is it?
And more!
Learn more about Silas and Abhijit:
Silas's LinkedIn: https://buff.ly/3yRnQVE
Abhijit's LinkedIn: https://buff.ly/3G2yHjF
Episode Resources:
freeCodeCamp: https://buff.ly/3bNsKZ1
Innovate Ghana: https://buff.ly/3ZjNwVP
Theta Tech AI: https://buff.ly/42ou1y5
Afribbean Tech Collective: https://buff.ly/3TvLuQO
Follow us & stay updated:
► Linkedin: https://buff.ly/41gEjzd
► Twitter: https://buff.ly/3n2Duer
► MLOps Community: (#neptune-ai)
► Github: https://buff.ly/41leUo0
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