Harness Artificial Intelligence to Design Next-Generation Nanocarriers for Precision Therapeutics
The convergence of Artificial Intelligence (AI) and nanotechnology is revolutionizing drug delivery by enabling the rapid design and optimization of smart nanocarriers for targeted therapeutics. AI can analyze large experimental datasets, predict nanoparticle properties, optimize formulations, and support decision-making throughout the drug development pipeline. This significantly reduces development time, minimizes experimental costs, and enhances the efficiency of nanomedicine research.
This international online workshop provides participants with an in-depth understanding of AI-assisted nanocarrier design, covering nanocarrier selection, formulation optimization, predictive modeling, characterization, translational challenges, and real-world applications in precision medicine. Through expert-led sessions, virtual demonstrations, case studies, and AI-assisted design exercises, participants will gain practical insights into one of the fastest-growing interdisciplinary areas in healthcare and pharmaceutical biotechnology.
To equip participants with a comprehensive understanding of how Artificial Intelligence (AI) is transforming the design, optimization, and translation of smart nanocarriers for targeted drug delivery. The workshop focuses on integrating AI-driven approaches with nanomedicine principles to accelerate formulation development, improve therapeutic efficacy, and support precision medicine.
Hands-on 1: Evaluate published nanocarrier formulations and identify key design parameters that influence targeting efficiency and therapeutic performance.
Hands-on 2: Compare different nanocarrier platforms and recommend the most appropriate system for a selected disease based on therapeutic goals and formulation characteristics.
Hands-on 1: Interpret nanoparticle characterization reports (particle size distribution, zeta potential, morphology, drug loading, and release profiles) using published datasets.
Hands-on 2: Assess a case study where AI was applied to optimize a nanoformulation and propose improvements based on formulation performance and characterization results.
Hands-on 1: Analyze published clinical case studies of AI-assisted nanomedicine development and evaluate formulation strategy, therapeutic outcomes, and translational challenges.
Hands-on 2: Develop a conceptual roadmap for an AI-assisted smart nanocarrier, outlining formulation design, characterization, clinical application, regulatory pathway, and commercialization strategy.
This workshop is tailored for academic researchers including undergraduate, postgraduate, Ph.D., and postdoctoral scholars, alongside faculty members and scientists specializing in nanotechnology, biotechnology, pharmaceutical sciences, biomedical engineering, drug delivery, formulation, and clinical research. It is equally beneficial for healthcare professionals in precision medicine, R&D specialists from the biotechnology and pharmaceutical industries, professionals in translational research and advanced therapeutics, as well as entrepreneurs and innovators developing AI-enabled healthcare technologies.
₹2,499
$50
The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.
365 days from your registration, on your NanoSchool dashboard.
Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
