09/27/2025

Registration closes 09/27/2025

AI in Precision Medicine: Optimizing Nanomedicine for Targeted Therapy

Advancing Targeted Therapy with AI-Optimized Nanomedicine for Precision Healthcare

  • Mode: Virtual / Online
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Days (1.5 hours per day)
  • Starts: 27 September 2025
  • Time: 8:00 PM IST

About This Course

The integration of AI with nanomedicine is revolutionizing precision medicine by allowing for the design of nanomaterials that can target specific disease cells with high precision. This workshop covers the principles of AI in drug design, particularly in the development of nanomaterials that can be tailored for individual patients. AI algorithms, such as machine learning and deep learning, are now used to predict how nanomedicines interact with cells, tissues, and organs.
The workshop will cover a range of topics, including the role of AI in designing nanoparticles for targeted drug delivery, improving drug efficacy, minimizing side effects, and personalizing treatment regimens. Participants will also gain hands-on experience with AI-based tools for optimizing nanomedicine, including case studies in cancer, cardiovascular diseases, and neurological disorders.

Aim

This workshop aims to explore the intersection of AI and precision medicine in optimizing nanomedicine for targeted therapy. Participants will learn how AI can be used to design and personalize nanomaterials for specific therapeutic targets, improving the effectiveness and safety of treatments. The focus will be on how AI can enhance the development of precision therapies using nanotechnology for improved patient outcomes.

Workshop Objectives

  • Understand the role of AI in optimizing nanomedicine for precision therapy.
  • Learn how AI algorithms are used to design personalized nanomaterials for drug delivery.
  • Gain practical experience in using AI tools for nanomedicine development.
  • Understand the challenges and opportunities of AI in personalized medicine.
  • Explore case studies in cancer therapy, cardiovascular diseases, and neurological treatments.

Workshop Structure

Day 1 – AI for Personalized Nanomedicine Development

  • Overview of personalized medicine and the role of nanotechnology in targeted therapy
  • AI algorithms for patient-specific nanomedicine optimization
  • Case study: AI in optimizing nanoparticle biodistribution in personalized cancer therapy
  • Data sources for AI in precision medicine

Day 2 – AI for Tumor-Specific Nanomedicine Design

  • AI techniques for predicting tumor microenvironment interaction with nanoparticles
  • Machine learning models for biomarker-driven therapy selection
  • Demonstration: Using AI to optimize drug delivery for specific cancer types
  • Personalized medicine and nanomedicine clinical translation

Day 3 – Clinical Applications & Ethical Considerations in AI-Nanomedicine

  • Future applications in gene therapy and immunotherapy using AI-nanomedicine
  • Ethical considerations in AI-driven personalized nanomedicine
  • Regulatory challenges in commercializing AI-powered personalized therapies
  • Capstone Discussion: Design a clinical trial plan for AI-nanomedicine therapy

Who Should Enrol?

  • Undergraduate/postgraduate degree in Nanotechnology, Biotechnology, Bioinformatics, Pharmaceutical Sciences, or related fields.
  • Professionals in healthcare, pharma, diagnostics, oncology, and personalized medicine sectors.
  • Data scientists and AI/ML engineers interested in applying AI in medical nanotechnology.
  • Individuals with an interest in the application of AI in precision medicine and nanomedicine development.

Important Dates

Registration Ends

09/27/2025
IST 7:00 PM

Workshop Dates

09/27/2025 – 09/29/2025
IST 8:00 PM

Workshop Outcomes

  • Ability to design and optimize nanomedicines for targeted therapy using AI tools.
  • Practical understanding of how AI can personalize treatments based on patient-specific data.
  • Knowledge of AI-based algorithms for improving the efficacy and safety of nanomedicines.
  • Familiarity with the regulatory and clinical challenges of applying AI in precision medicine.
  • Insights into the future of nanomedicine and AI in personalized healthcare

Meet Your Mentor(s)

Mentor Photo

Prof. Kumud Malhotra

Professor & Dean

Prof. Kumud Malhotra, Dean of the University Institute of Physical and Life Sciences with 30 years of experience is an academician and administrator and has attained the highest echelons in the educational sector by managing senior positions, like Director, Dean, Managing Editor, or Editor-in-Chief . . . for content development and journal publication. She completed her Ph. D on “Genetic Epidemiology of Malaria in Some Population Groups of Delhi and Tribal Groups of Tarai Region of Nainital District” and Post Doctorate from Delhi University as an ICMR and UGC fellow.
Her expertise domains are Biotechnology, Genetics, Bioinformatics, Forensic  Science, Molecular Biology, and its allied areas. She has obtained Certifications in the areas of Genetic Engineering, Molecular Biology, Microarrays, Proteomics, and Parasitology from IGIB, NICD, MRC, and Delhi University. Down the lane, her achievements and accolades are the best employee and faculty while working at Bioinformatics Institute of India and RNB GLOBAL University as a Dean and other prestigious awards. Her contribution to the establishment of the School of Basic and Applied Sciences and Agricultural Sciences along with the approval from ICAR at the new University RNBGLOBAL
University was acknowledged by the Management.
Apart from teaching and academics her experience in content development and e-learning for various renowned universities and organizations like Banasthali Vidyapith, GOLS Academy, Biionline, etc. is an added credential of hers. Dr. Kumud Malhotra has been a Resource Person in Course Development Committees (for graduate and post-graduate programs) for Indira Gandhi National Open University (IGNOU), Jamia Hamdard along with other credits like Member of various committees like Academic Council, BOS, Research Committee, etc. for the IGNOU, IAMR. She has demonstrated caliber as a resourceful Technical Collaborator for the conduction of the Workshop on Bioinformatics at
Bundelkhand University and in Engineering College in Durg, Chhattisgarh with an appreciation letter from the university.
She is a member of the editorial board of various journals and has presented Papers at International Conferences on Genetics, Parasitology, Clinical Trials, Pharmacovigilance, Biotechnology, etc. Dr. Malhotra has delivered keynote addresses at CII, International Conferences, and member of various professional bodies Genetics Society, Indian Science Congress, International Society for Malariology and Parasitology, IAA, SBTI, etc. She has guided many students for Ph.D. and internships and got the projects from ICMR.

Fee Structure

Student Fee

₹1399 | $50

Ph.D. Scholar / Researcher Fee

₹1699 | $55

Academician / Faculty Fee

₹2199 | $60

Industry Professional Fee

₹2699 | $85

What You’ll Gain

  • Live & recorded sessions
  • e-Certificate upon completion
  • Post-workshop query support
  • Hands-on learning experience

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Publication Opportunity

Get published in a prestigious open-access journal.

Centre of Excellence

Become part of an elite research community.

Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Need Help?

We’re here for you!


(+91) 120-4781-217

★★★★★
Forecasting patient survival in cases of heart failure and determining the key risk factors using Machine Learning (ML), Predictive Modelling of Heart Failure Risk and Survival

The mentor was very clear and engaging, providing practical examples that made complex topics easier to understand.

Federico Cortese
★★★★★
Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program

is important improve the video quality and integrate with subtitles

Antonio Mauceri
★★★★★
Green Catalysts 2024: Innovating Sustainable Solutions from Biomass to Biofuels

Excellent orator and knowledgeable resourceful person

Ranvir Singh
★★★★★
Green Catalysts 2024: Innovating Sustainable Solutions from Biomass to Biofuels

Take less time of contends not necessary for the workshop

Facundo Joaquin Marquez Rocha

View All Feedbacks →

Still have any Query?