AI Applications in Pharmacy Leveraging Technology for Innovative Healthcare Solutions
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Course Overview
Workshop Registration End Date :2024-12-10
Program Syllabus
Module 1
About
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.
Module 2
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.
Module 3
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
Module 4
Workshop Structure
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
Module 5
Participant’s Eligibility
- 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.
Module 6
Important Dates
Module 7
Registration Ends
2024-12-10
Indian Standard Timing IST 03:30 PM
Module 8
Workshop Dates
2024-12-10 to 2024-12-12
Indian Standard Timing IST 04:30 PM
Module 9
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.
Module 10
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Mentor Profile
Dr. Bandoo Chhagan Chatale
Founder and Mentor of Pharmacy Success Hub
Pharmacy Success Hub
Dr. Bandoo Chhagan Chatale is a distinguished figure in the pharmacy sector, celebrated for his visionary and mission-oriented approach. As the founder and mentor of Pharmacy Success Hub since July 2014, he has been a guiding force in empowering pharmacy professionals. He completed his Ph.D. in . . .
Module 11
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 12
Student
INR. 1399
USD. 50
Module 13
Ph.D. Scholar / Researcher
INR. 1699
USD. 55
Module 14
Academician / Faculty
INR. 2199
USD. 60
Module 15
Industry Professional
INR. 2699
USD. 85
List of Currencies
Module 16
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 17
Future Career Prospects
- Leadership in Healthcare Innovation: Opportunities to lead projects and teams in AI-driven healthcare initiatives.
- Specialized AI Applications: Roles specializing in AI applications specific to pharmaceutical research and patient care.
- Consulting and Advisory: High demand for professionals who can advise on integrating AI in healthcare settings.
- Entrepreneurial Ventures: Potential to start innovative health tech companies focusing on AI applications.
- Academic and Research Positions: Opportunities in academia to teach and conduct research on AI in pharmacy.
- Regulatory and Policy Development: Roles in developing policies that govern the ethical use of AI in healthcare.
- International Collaboration: Opportunities to work on global health projects that leverage AI for better health outcomes.
- Continuing Education and Training: Positions focused on training healthcare professionals in the latest AI applications.
Module 18
Job Opportunities
- AI Pharmacy Specialist
- Clinical Informatics Pharmacist
- Pharmaceutical Data Analyst
- Research Scientist in Pharma AI
- Healthcare Technology Consultant
- AI Implementation Manager
- Pharmaceutical Innovation Coordinator
- Personalized Healthcare Technician
Module 21
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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AI Applications in Pharmacy Leveraging Technology for Innovative Healthcare Solutions
Professional Certification Program
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FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
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