Navigating the Future: AI-ML workshop for Pharma, Chemistry, Ayurveda, and Healthcare

On Saturday, 9 September, 2023, from 7 p.m. Event has passed

[Recorded] click here to Watch on Youtube

Discover the future of Pharma, Chemistry, Ayurveda, and Healthcare through the lens of Artificial Intelligence and Machine Learning.

Areas Covered

Explore Cutting-edge AI Applications: Gain insights into how AI and ML are revolutionizing Pharma, Chemistry, Ayurveda, and Healthcare practices.
Learn from a Visionary: Our esteemed speaker, Mr. Kushal Sharma, Founder of Indeed Inspiring Infotech, will share his expertise and industry knowledge.
Bridge Traditional Wisdom with Modern Tech: Discover the synergy between ancient Ayurvedic practices and modern technological advancements.
Unlock Opportunities: Understand the potential of AI and ML in optimizing drug discovery, treatment strategies, and patient care.
Network with fellow job seekers and expand your opportunities

1. Introduction to AI and Machine Learning (AIML): An overview of what AIML is and its significance in the fields of Pharma, Chemistry, Ayurveda, and Healthcare.
2. Applications of AIML in Healthcare: Use cases where AIML technologies have made an impact in healthcare, such as disease diagnosis, drug discovery, and patient care.
3. AIML in Pharmaceutical Research: Explore how AIML is revolutionizing drug discovery, optimizing clinical trials, and improving the development of pharmaceutical products.
4. AIML in Chemistry: How AIML techniques are being applied in chemical research, including molecular modeling, compound screening, and material discovery.
5. Integration of Ayurveda and AIML: Explore how AI and machine learning can be used to analyze and modernize Ayurvedic practices, including herbal medicine recommendations and patient wellness.
6. Data Collection and Preprocessing: Explain the importance of high-quality data in AIML projects and discuss strategies for data collection and preprocessing, especially in healthcare and pharmaceutical contexts.

7. Machine Learning Algorithms: An overview of popular machine learning algorithms and their suitability for different tasks in Pharma, Chemistry, Ayurveda, and Healthcare.
8. Ethical and Regulatory Considerations: Ethical implications of AIML in healthcare and pharmaceuticals, including patient privacy, bias, and compliance with regulations.
10. Hands-On Workshops and Case Studies: Opportunity to work on hands-on exercises and analyze real-world case studies related to AIML in Pharma, Chemistry, Ayurveda, and Healthcare.
11. Future Trends and Challenges: Discuss emerging trends in AIML and the potential challenges that researchers and practitioners may face in these industries.
12. Networking and Collaboration: Encourage participants to network, share insights, and explore potential collaborations with others in the workshop.
13. Q&A Sessions: Time for participants to ask questions and seek clarification on the workshop content.