Workshop on “Artificial Intelligence and 3D Printing in Pharmaceutical Sciences: Revolutionizing Research and Innovation"

About the Program

The workshop on “Artificial Intelligence and 3D Printing in Pharmaceutical Sciences: Revolutionizing Research and Innovation” is a cutting-edge initiative aimed at exploring the transformative potential of emerging technologies in the pharmaceutical domain. This program brings together academicians, researchers, industry experts, and students to delve into the integration of AI-driven data analysis, predictive modeling, and 3D printing techniques in drug development and personalized medicine. Participants will gain insights into how artificial intelligence is accelerating pharmaceutical research from molecule discovery to clinical trial optimization and how 3D printing is enabling customized drug formulations, novel dosage forms, and patient centric therapies. The workshop includes expert talks, hands-on demonstrations, and interactive sessions designed to foster innovation and cross-disciplinary collaboration in pharmaceutical sciences.

Objectives of the Program

To provide a comprehensive overview of Artificial Intelligence (AI) and its emerging role in pharmaceutical sciences and research.
To demonstrate the practical use of AI tools in scientific writing, literature review, and manuscript preparation.
To discuss ethical considerations, challenges, and responsibilities in the use of AI tools in academic and pharmaceutical research.
To provide participants with hands-on experience in 3D printing processes, including design, slicing, and printing.

Expected outcomes of the programme

Gain a comprehensive understanding of Artificial Intelligence (AI) and its applications in pharmaceutical sciences and research.
Utilize AI tools effectively for scientific writing, literature review, and manuscript preparation.
Acquire hands-on experience with 3D printing technologies, including design, slicing, and operation of 3D printers.

Target Audience: PG students, Scholars, Faculties
Type of program: Offline