This workshop explores the critical role of data analytics and AI in modern drug development, covering areas such as predictive modeling, biomarker discovery, and clinical trial optimization. Participants will learn how to apply advanced AI algorithms and data-driven strategies to enhance the efficiency, accuracy, and success rates of drug development pipelines.

Aim

The aim of the Data Analytics and Artificial Intelligence in Drug Development program is to equip participants with advanced skills in AI and data analytics, enabling them to drive significant advancements in drug discovery and development processes. The program focuses on optimizing efficiency, accuracy, and innovation in pharmaceutical research.

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Workshop Objectives

Develop Expertise in AI Technologies
Enhance Predictive Analytics Capabilities
Optimize Clinical Trials
Advance Biomarker Identification
Implement Personalized Medicine Approaches
Strengthen Data Management Techniques
Navigate Regulatory Environments
Foster Interdisciplinary Collaboration

Workshop Structure

Day 1
● Collecting data from primary sources
● Types & Methods of Primary researches
● Legal, Ethical and Regulatory consideration while collecting information
● The role of AI, technology and innovation in pharmaceutical primary research
● Applications, Case Studies and Trends

Day 2
● Big Data and Artificial Intelligence Modeling for Drug Discovery
● Importance of Clinical Trials in Information analysis
● The role of virtual clinical trials and remote monitoring in new drug
development
● Drug delivery systems innovation: advances in formulation and delivery
technologies
● Applications, Case Studies and Trends

Day 3
● The impact of data analytics and artificial intelligence in pharmaceutical R&D
● A Study on the Application and Use of Artificial Intelligence to Support Drug
Development
● Machine Learning and Artificial Intelligence in Pharmaceutical Research and
Development
● Artificial intelligence revolutionizing drug development: Exploring
opportunities and challenges

Participant’s Eligibility

Students, PhD scholars, and academicians in fields such as pharmacology, bioinformatics, and data science.
Industry professionals in pharmaceuticals, biotechnology, and healthcare IT interested in leveraging AI for drug development.
Researchers and data scientists seeking to specialize in AI applications within the pharmaceutical industry.

Important Dates

Registration Ends

2024-11-27
Indian Standard Timing 3:30 pm

Workshop Dates

2024-11-27 to 2024-11-29
Indian Standard Timing 4:30 pm

Workshop Outcomes

AI and Data Analytics Proficiency: Mastery of AI algorithms and data analytics tools applied to drug development.
Predictive Modeling: Skills in developing and using predictive models to identify and optimize drug candidates.
Clinical Trial Optimization: Ability to apply AI for designing and optimizing clinical trials, reducing time and cost.
Biomarker Discovery: Expertise in analyzing data to discover biomarkers that guide personalized medicine.
Regulatory Compliance: Understanding of regulatory frameworks governing AI in drug development, ensuring ethical and legal compliance.
Interdisciplinary Collaboration: Enhanced ability to work within cross-functional teams, integrating AI and data science with pharmaceutical research.
Innovation in Drug Development: Capacity to innovate and apply AI to solve complex challenges in the drug development process.

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 Pharmaceutical R&D: Opportunities to lead AI-driven research and development teams in the pharmaceutical industry.
Entrepreneurial Ventures: Potential to start or join biotech startups focused on AI-driven drug discovery.
Academic and Research Positions: Roles in universities and research institutions conducting cutting-edge research in AI and drug development.
Global Pharmaceutical Companies: Positions in leading global pharmaceutical companies specializing in AI and data analytics.
Consulting Roles: Opportunities to work as a consultant for AI integration in drug development processes.
Regulatory Leadership: Roles in regulatory bodies overseeing the implementation of AI in drug development.
Innovative Drug Discovery: Engagement in projects focused on developing new, AI-enhanced approaches to drug discovery.
Cross-Industry Collaboration: Opportunities to collaborate with tech companies developing AI solutions for healthcare and pharmaceuticals.

Job Opportunities

Data Scientist in Pharmaceuticals
AI Research Scientist
Clinical Data Analyst
Drug Development Specialist
Bioinformatics Analyst
AI Consultant in Healthcare
Research Scientist
Regulatory Affairs Specialist

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