3rd Global Pharma Tech Summit 2025 | The People Events | 22 June 2025 | TBA, Zurich, Switzerland

The Summit would like to welcome all the pharmaceutical professionals and companies, students, researchers, scientists, practitioners, medical specialists, clinical scientists, technologists, and other healthcare professionals to participate and speak at our prestigious Summit.

Reasons to attend:

Having face-to-face interactions with industry experts:
• Connect with thousands of industry leaders and expand your network with endless opportunities to learn, innovate, and collaborate in-person.

Explore New Technology, More Cost-Effective Solutions:
• High quality contents will give you extensive knowledge and insights from well renowned researchers and leaders from the Life Sciences industry.

Keep up-to-date with emerging trends or changing policy:
• This Worldwide conference discusses about innovative research spanning the entire spectrum of drug discovery, development, evaluation, and regulatory approval. Use this platform to become cognizant of your interest area to achieve excellence in your domain.

Recognized:
• Being one of the largest and leading conferences in the world, we help you take your skills to the next level as well as fuel your success. Showcase your work at the epicenter of scientific research and receive the recognition you have longed for all your life.

Conference Topics​:
• Healthcare 4.0: AI Revolution in Medicine
• Advanced Drug Delivery Systems
• AI & ML in Pharmaceutical Industry
• Clinical Trials & Case Studies
• Telemedicine
• Genomic Data
• AI Accelerates: Drug Discovery & Development
• Pharmaceutical Technology
• Personalized Medicine
• Pharmaceutical Research & Development
• Pharmacovigilance & Drug Safety
• Pharma Market & Industry Report
• Precision Pharma: AI's Next-Gen Role in Medicine
• Customized Treatment Plans
• Genetic Testing
• Data-Driven Health: Big Data Analytics
• AI in Radiology
• Health Informatics
• AI for Pharma: Innovations and Solutions
• Machine Learning Models
• Generative AI
• Wearable Technology
• Data Science
• Natural Language Processing
• Ethical & Regulatory Considerations in AI Healthcare
• AI in Oncology