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1. AI Networks and Tools
2. Classification of AI
3. Artificial Intelligence and Robotics
4. Pharmaceutical Automation
5. AI in advancing Pharmaceutical Drug Development
6. AI in Pharmceutical Marketing
7. AI in Quality Control and Quality Assurance
8. AI in Clinical Field
2 types:
3 categories
Artificial Narrow Intelligence (ANI)
Artificial General Intelligence (AGI)
Artificial Super Intelligence (ASI)
4 types
1: no memory; reactive only
2: uses limited memory to make decisions; however, memory is NOT stored permanently
3: “Theory of Mind”, tries to mimic human thinking, intentions, and desires
4: self awareness and consciousness
Similarities: use a software agent that controls the robot then sensors tell it what to do next in a real world environment.
Drug Development
Pharmaceutical Marketing
AI applications are often associated with the fear of unemployment. However, the industry widely recognizes and praises the advancements in AI technology due ot its significant impact on efficiency. The use of AI reduces the workload of human workers while accomplishing objectives swiftly
Discussion: Methods and Results
The adoption of AI allows for learning from real-time data:
The paper doesn't discuss how AI can be a hindrance to Pharmaceutical Industries, outside of the fear of unemployment:
The paper also fails to disscuss the use of AI in other functional areas of pharmacy (medical affairs, informatics, etc.)
Due to the belief held by AI technological approaches that humans are capable of envisioning knowledge, resolving problems, and making decisions, there has been a surge of interest in implementing AI technology for analyzing and interpreting important areas of pharmacy, including drug discovery, dosage form design, polypharmacology, and hospital pharmacy.
The utilization of automated workflows and databases for efficient studies employing AI techniques have proven advantageous.
With the help of AI technologies, the formulation of innovative hypotheses, strategies, predictions, and assessments involving various interconnected elements can be carried out with ease, reduced time consumption, and affordability
But what are our thoughts?
Lenin once said: “There are decades when nothing happens, and then there are weeks, when decades happen”. Medical affairs has been having some of those weeks of late with the introduction of generative AI (chatGPT, Bard, etc.). In short, we’re in the midst of a transformation and the experimentation, the controversy and the intrigue surrounding this new technology will quickly give way to new platforms, new models and new value recognized industry-wide. This will all happen this year. After that, as Bill Gates has said in a recent article, the age of Artificial Intelligence will be upon us, where most major medical affairs activities, from literature search, to gap analysis, to medical communications and education, to presentation training, insights mining, conference intelligence and medical information will have artificial intelligence juxtaposed as part of the way they are considered and delivered, sometimes without the doer or the user even knowing. This will free up our colleagues’ time to focus on delivering impact to professionals and patients and hopefully, leading to happiness both internally within teams and externally as manual work and routinizable work is delegated to the machines. An exciting future awaits!
Matt Lewis MPA Co-Founder of Inizio Medical Analytics and Innovation (3/23/23)
Remember the first letter in AI stands for artificial and we need to keep that in mind when dealing with patients and interactions that happen within the pharmaceutical industry.
https://www.linkedin.com/posts/sarahsnyderruns_chatgpt-medicalaffairs-ai-activity-7035962893611266048-x49T?utm_source=share&utm_medium=member_desktop
Praveen Tahilani, Hemant Swami, Gaurav Goyanar, & Shivani Tiwari. (2023). The Era of Artificial Intelligence in Pharmaceutical Industries - A review. Indian Journal of Pharmacy & Drugs Studies, 1–5. Retrieved from https://mansapublishers.com/index.php/ijpds/article/view/3481
Quote from Matt Lewis, (3/23/23)