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NP16 Applied AI in Pharma

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Why AI?

AI is revolutionizing the pharma industry by enhancing drug discovery, optimizing clinical trials, personalizing patient care, and improving manufacturing efficiency. Its application is both important and urgent for maintaining competitiveness.

For any professional in this sector, this playbook will get you started on this urgent and inevitable journey. Don’t miss out on the AI revolution – download the paper, read and apply.

YOU WILL LEARN:

  1. Accelerating the drug discovery process.
  2. Optimizing clinical trial designs and patient selection.
  3. Enhancing diagnostic accuracy through medical imaging AI.
  4. Personalizing treatment plans based on genetic and environmental data.
  5. Predicting patient responses to drugs for better treatment outcomes.
  6. Monitoring patient health in real-time with wearable AI technologies.
  7. Improving pharmacovigilance through automated adverse event detection.
  8. Streamlining supply chain management and production scheduling.
  9. Facilitating patient engagement and adherence via AI-powered platforms.
  10. Driving innovations in regenerative medicine through AI models.

FREE RESOURCES:

SOME FLASHCARDS
(PDF, 24 pages, 10×10) 
This PDF captures the main ideas from the paper. Easily shareable on SoMe for a start of an online conversation about AI in your industry.

CHEAT SHEET
(PDF, 2 pages, A4)
This PDF contains the main ideas from the paper, for your easy reference.

USE CASES
(PDF, 16 pages, 4×3) 
This PDF contains an overview of the 10 main AI use cases for this industry.

To get started with AI, first do this:

  1. Invest in AI literacy and training for your team to build a solid foundation.
  2. Identify specific challenges within your operations where AI can provide solutions.
  3. Partner with AI technology providers and research institutions to leverage existing expertise and accelerate your AI initiatives.
  4. Explore other resources on nextpaper.me and check out the book “Explain for me AI”.
  5. Please contact us at hello@nextpaper.me for further exploration or inspiration through a talk, workshop or case study. We’d love to help!
Picture of Silvija Seres

Silvija Seres

Mathematician & AI Investor
SILVIJA SERES - Mathematician and AI investor
I have worked with AI for more than 30 years in research, development and strategy. I am very interested in helping companies drive successful digital transformation and AI applications. If you find this interesting, please get in touch on hello@nextpaper.me

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