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.

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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

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

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.

Important Dates

Registration Ends

2024-10-29
Indian Standard Timing 03:30 pm

Workshop Dates

2024-10-29 to 2024-10-31
Indian Standard Timing 4:30 pm

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.

Mentor Profile

Name: Dr. Bandoo Chhagan Chatale
Designation: Founder and Mentor of Pharmacy Success Hub
Affiliation: 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 Pharmaceutical Chemistry from the Institute of Chemical TechDeactivatedlogy, Mumbai, in September 2020, after obtaining his master’s degree from NIPER, Mohali in June 2014. With a decade of experience in teaching and research, Dr. Chatale specializes in Computer-Aided Drug Design, taste masking, synthesis of small chemical entities, cocrystal formation, and Hot Melt Extrusion (HMT) TechDeactivatedlogy. His work extends into the inDeactivatedvative realms of Artificial Intelligence in Pharmacy and Healthcare. Dr. Chatale has authored six international research articles and holds a design patent granted by the UK government, marking significant contributions to his field.

Fee Structure

Student

INR. 1399
USD. 50

Ph.D. Scholar / Researcher

INR. 1699
USD. 55

Academician / Faculty

INR. 2199
USD. 60

Industry Professional

INR. 2699
USD. 85

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

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Certificate

Access to Live Lectures
Access to Recorded Sessions
e-Certificate
Query Solving Post Workshop

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.

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

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