AI Applications in Pharmacy Leveraging Technology for Innovative Healthcare Solutions
Empowering Pharmacy with AI: Pioneering Smarter Healthcare Solutions
Skills you will gain:
About Workshop:
This program delves into how AI can transform pharmacy practice by improving drug discovery, personalizing patient care, and streamlining pharmaceutical operations. Participants will learn about AI-driven predictive analytics, machine learning models for treatment customization, and robotics in medication management.
Aim: The aim of the AI Applications in Pharmacy: Leveraging Technology for Innovative Healthcare Solutions program is to equip pharmacy professionals with the skills to utilize artificial intelligence in enhancing drug development, patient care, and pharmacy management. The program focuses on fostering expertise in AI technologies to drive innovation and efficiency in healthcare.
Workshop Objectives:
- Master AI Fundamentals
- Enhance Drug Discovery
- Personalized Medicine Development
- Implement Robotics in Pharmacy
- Data-Driven Decision Making
- Navigate Regulatory Compliance
- Foster Interdisciplinary Collaboration
- Innovation and Problem Solving
What you will learn?
Day 1: Introduction to AI in Pharmacy
Session:1 What is Artificial Intelligence?
● Define artificial intelligence and its relevance to pharmacy.
● Explain the difference between narrow AI and general AI.
● Advantages and disadvantages of AI
Session:2 AI Applications in Pharmacy
● Discuss real-time examples of AI applications in the pharmacy industry.
● The future of pharmacy: How AI is revolutionizing the industry
● Challenges and Opportunities
● Explore the challenges and opportunities AI presents to pharmacy professionals.
● Discuss the ethical considerations and potential job impact.
Session:3 Enhancing Literature Review with AI
● Advancing pharmacy and healthcare with virtual digital technologies
● Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges
Day 2: AI in Research Paper Writing
Session: 1 Definition and importance of AI in research paper writing using Chat GPT
● Overview of how AI can enhance the research writing process
● Benefits and challenges of incorporating AI in research paper writing
Session: 2 Ensuring Ethical Use of AI in Research Paper Writing
● Discussing potential ethical concerns and biases in AI tools
● Addressing privacy and confidentiality issues related to AI use
Session: 3 AI Tools and Techniques for Pharmacy
● AI Tools for Pharmacy
● Present case studies that showcase successful AI implementations in pharmacy.
● AI-based paraphrasing and summarization tools (e.g., QuillBot)
Day 3 Applications, Discoveries, and Future Trends
Session: 1 Practical Applications and Future Trends
● AI in Medication Management
● Explore how AI can assist in medication management, dosing, and patient adherence.
Session: 2 AI in Drug Discovery
● Discuss the role of AI in drug discovery, including identifying potential drug candidates and optimizing the research process.
● Future Trends and Opportunities
● Highlight emerging trends in AI for pharmacy and the potential for further integration.
● Encourage participants to consider how they can leverage AI in their careers.
Session: 3 Emerging technologies and their impact on AI
● Job market and career opportunities in AI
● Advancements in AI research and development
Mentor Profile
Fee Plan
Important Dates
29 Oct 2024 Indian Standard Timing 03:30 pm
29 Oct 2024 to 31 Oct 2024 Indian Standard Timing 4:30 pm
Get an e-Certificate of Participation!
Intended For :
- Pharmacy students, pharmacists, and healthcare professionals interested in AI technologies.
- Academicians and industry professionals from pharmaceutical sciences and healthcare IT.
- Researchers looking to apply AI in pharmaceutical research and development.
Career Supporting Skills
Workshop Outcomes
- AI and Machine Learning Proficiency: Understanding and applying AI and machine learning techniques in pharmaceutical contexts.
- Data Analytics Skills: Ability to analyze healthcare data to improve drug formulations and patient outcomes.
- Robotics and Automation: Skills in utilizing robotics for efficient medication dispensing and management.
- Personalized Medicine Implementation: Proficiency in using AI to tailor medication regimens to individual patient needs.
- Innovation in Drug Discovery: Capability to enhance drug discovery processes using predictive analytics.
- Regulatory Compliance: Knowledge of regulatory standards governing the use of AI in pharmacy.
- Interdisciplinary Collaboration: Ability to collaborate across fields including technology, pharmacy, and medicine to foster integrated healthcare solutions.
