Virtual Workshop
AI Applications in Pharmacy: Leveraging Technology for Innovative Healthcare Solutions
“Empowering Pharmacy with Intelligent Insights: AI Redefining Healthcare.”
About Workshop:
The workshop aims to provide an immersive and interactive learning experience, fostering a dynamic environment for skill development and knowledge enhancement. Through a combination of hands-on activities, group discussions, and expert-led sessions, participants will delve into practical strategies and emerging trends within the industry. Covering a diverse range of topics, the workshop will focus on fostering practical skills, sharing industry insights, and encouraging collaborative problem-solving. By the end of the workshop, attendees will have gained valuable tools, a deeper understanding of the subject matter, and an expanded network within the field.
Aim: The aim of the workshop is to equip pharmacy professionals with cutting-edge insights and practical skills in leveraging artificial intelligence within the pharmaceutical landscape. This comprehensive program seeks to enhance participants’ understanding of AI applications in drug discovery, personalized medicine, data analysis, and patient care. By fostering a collaborative environment and offering hands-on experiences, the workshop endeavors to empower attendees with the knowledge and tools necessary to harness the potential of AI, ultimately advancing innovation and efficiency in pharmacy practice.
Workshop Objectives:
- Introduction to AI in Pharmacy: Provide an overview of AI, its applications, and its potential impact on the pharmacy sector.
- Understanding AI Tools and Techniques: Educate participants about various AI tools, data analytics methods, and their applications in pharmaceutical settings.
- Data Handling and Analysis: Train participants on handling pharmaceutical data, cleaning, analyzing, and interpreting data sets using AI techniques.
- AI Applications in Drug Discovery: Explore how AI is revolutionizing drug discovery, including predictive modeling, virtual screening, and optimizing drug development processes.
- Personalized Medicine and Pharmacogenomics: Discuss the role of AI in tailoring treatments to individual patients based on their genetic information and other relevant data.
- Healthcare Informatics and Electronic Health Records (EHR): Highlight the integration of AI within healthcare systems, EHR, and how AI can improve patient care and outcomes.
- Ethical and Regulatory Considerations: Address the ethical, legal, and regulatory aspects of AI applications in pharmacy to ensure compliance and responsible use.
- Practical Applications and Case Studies: Provide real-world examples and case studies demonstrating successful AI implementations in pharmacy settings.
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.
Session:2 AI Applications in Pharmacy
- Discuss real-time examples of AI applications in the pharmacy industry.
- Emphasize how AI can streamline processes, improve patient care, and enhance decision-
making. - 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
- Utilizing AI for efficient literature search and review (e.g., Google Scholar, Mendeley)
- AI tools used for everyone
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)
- Grammar checkup for content (Grammarly)
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
12 Dec 2023 AT IST : 03:00 PM
Get an e-Certificate of Participation!
Intended For : Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals in Pharmacy, Medicine, Pharmaceutical Sciences, Biotechnology, Healthcare Analytics, Data Science, Bioinformatics, Medical Research
Career Supporting Skills
Workshop Outcomes
- Enhanced Understanding of AI Concepts in Pharmacy: Participants should demonstrate an improved understanding of AI concepts, terminologies, and their relevance to the pharmaceutical domain.
- Proficiency in AI Tools and Techniques: Ability to use AI tools, machine learning algorithms, and data analysis techniques relevant to pharmacy tasks.
- Data Handling and Analysis Skills: Participants should be able to handle and analyze pharmaceutical data effectively, using AI-based methods for insights and decision-making.
- Awareness of AI Applications in Drug Discovery: Understanding how AI is utilized in drug discovery, including the ability to identify potential applications and tools for predictive modeling and virtual screening.
- Application of AI in Personalized Medicine: Demonstrating the application of AI in tailoring treatments and medications to suit individual patient needs and characteristics.
- Integration of AI in Healthcare Systems: Understanding the integration of AI within healthcare systems and Electronic Health Records (EHR) to enhance patient care and outcomes in a pharmacy setting.