This advanced program delves into the use of artificial intelligence to enhance the effectiveness of drug delivery systems specifically for cancer treatment. Participants will learn about AI algorithms that predict drug behavior, personalize treatments, and optimize delivery mechanisms to improve patient outcomes. The course covers interdisciplinary fields combining pharmacology, oncology, computer science, and bioinformatics.

Aim

The aim of “Artificial Intelligence for Cancer Drug Delivery” is to equip participants with cutting-edge skills in AI to revolutionize cancer treatment, focusing on precision and personalized drug delivery systems. The program strives to advance the integration of AI in oncology to improve treatment efficacy and patient outcomes significantly.

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Workshop Objectives

Understand the role of AI in cancer research and drug delivery.
Explore machine learning models that enhance drug targeting and delivery.
Develop skills to integrate AI with existing pharmaceutical and biomedical practices.

Workshop Structure

Day 1:

1. Introduction to Artificial Intelligence (AI) and its applications in healthcare

Definition and overview of AI
How AI is revolutionizing cancer drug delivery
Importance of AI in precision medicine

2. Understanding Cancer Drug Delivery

Overview of traditional cancer drug delivery methods and their limitations
Challenges in drug delivery for cancer treatment
Introduction to targeted drug delivery and its benefits

3. Nanoparticles and convergence of artificial intelligence for targeted drug delivery for
cancer therapy: Current progress and challenges

Role of AI in optimizing drug formulations

4. Case Studies on AI in Cancer Drug Delivery

Highlighting successful applications of AI in drug delivery
Exploring AI-driven technologies like nanotechnology and robotics in drug delivery
Ethical considerations and regulatory challenges in AI-enabled drug delivery

Day 2:

1. Role of Data in AI for Cancer Drug Delivery

Importance of data in AI-driven drug delivery solutions
The significance of artificial intelligence in drug delivery system design

2. Data-driven Approaches for Cancer Drug Delivery

Utilizing electronic health records (EHRs) for treatment optimization
Drug design for cancer using AI
Integration of imaging data for drug delivery planning

3. AI Applications in Drug Discovery

Using AI for virtual screening of potential drug candidates
Accelerating lead optimization using AI-driven algorithms
AI-enabled target identification and validation

4. Artificial intelligence in cancer target identification and drug discovery

explore and discuss potential AI solutions for specific drug delivery challenges
Brainstorming AI-driven strategies and techniques for improved cancer treatment
outcomes

Day 3:

1. AI for Predictive and Precision Medicine

Understanding predictive modeling for patient stratification
Precision medicine and its integration with AI
Case studies on precision medicine and AI in cancer drug delivery

2. AI for Drug Delivery Optimization and Personalization

Real-time monitoring and feedback mechanisms for personalized drug delivery
Challenges and future directions in AI-driven personalized medicine

3. Ethical and Legal Considerations in AI for Cancer Drug Delivery

Privacy and security concerns in handling patient data
Ethical implications of AI-enabled decision-making in drug delivery
Regulatory landscape and guidelines for AI in healthcare

4. Artificial intelligence in cancer therapy

Final thoughts on the future of AI in cancer drug delivery

Participant’s Eligibility

Students, PhD scholars, academicians, and industry professionals in fields like oncology, pharmacology, computer science, and bioinformatics.
Medical researchers and pharmaceutical scientists interested in AI applications in drug delivery.
Data scientists and AI specialists looking to apply their skills in healthcare.

Important Dates

Registration Ends

2024-09-24
Indian Standard Timing 4:00 pm

Workshop Dates

2024-09-24 to 2024-09-26
Indian Standard Timing 4:30 pm

Workshop Outcomes

AI and Machine Learning Proficiency: Advanced understanding and application of AI and machine learning in biomedical contexts.
Pharmacokinetic Modeling: Skills in modeling drug behavior and interactions using AI algorithms.
Personalized Medicine Development: Ability to develop personalized treatment plans based on patient-specific data analysis.
Data Analysis and Interpretation: Proficiency in handling and interpreting large sets of clinical and pharmacological data.
Interdisciplinary Collaboration: Skills in working effectively across diverse fields to integrate AI with cancer treatment strategies.
Ethical and Regulatory Compliance: Understanding of the ethical considerations and regulatory requirements in using AI for medical applications.
Innovative Problem Solving: Ability to apply AI tools to solve complex problems in cancer drug delivery.

Mentor Profile

Name: Dr. Bandoo Chhagan Chatale
Designation: Founder and Mentor of Pharmacy Success Hub
Affiliation: Pharmacy Success Hub

Dr. Bandoo Chhagan Chatale is a distinguished figure in the pharmacy sector, celebrated for his visionary and mission-oriented approach. As the founder and mentor of Pharmacy Success Hub since July 2014, he has been a guiding force in empowering pharmacy professionals. He completed his Ph.D. in Pharmaceutical Chemistry from the Institute of Chemical TechDeactivatedlogy, Mumbai, in September 2020, after obtaining his master’s degree from NIPER, Mohali in June 2014. With a decade of experience in teaching and research, Dr. Chatale specializes in Computer-Aided Drug Design, taste masking, synthesis of small chemical entities, cocrystal formation, and Hot Melt Extrusion (HMT) TechDeactivatedlogy. His work extends into the inDeactivatedvative realms of Artificial Intelligence in Pharmacy and Healthcare. Dr. Chatale has authored six international research articles and holds a design patent granted by the UK government, marking significant contributions to his field.

Fee Structure

Student

INR. 1399
USD. 50

Ph.D. Scholar / Researcher

INR. 1699
USD. 55

Academician / Faculty

INR. 2199
USD. 60

Industry Professional

INR. 2699
USD. 85

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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Key Takeaways

Access to Live Lectures
Access to Recorded Sessions
e-Certificate
Query Solving Post Workshop

Future Career Prospects

Leadership in Biomedical AI: Opportunities to lead research teams and projects focusing on AI applications in healthcare.
Entrepreneurial Ventures: Potential to start biotech companies specializing in AI-driven drug delivery solutions.
Academic and Research Positions: Roles in academic institutions teaching and researching AI applications in medicine.
Policy Development: Participation in shaping policies related to AI in healthcare.
International Collaboration: Opportunities to work on global initiatives that integrate AI technologies in cancer treatment.
Innovative Drug Development: Roles in developing new, cutting-edge cancer treatments using AI technologies.
Consultancy and Advisory Services: Providing expert advice to healthcare organizations on AI integration.
Public Health Strategy: Utilizing AI to improve public health strategies in cancer prevention and treatment.

Job Opportunities

Clinical Data Scientist
AI Research Scientist in Oncology
Pharmaceutical AI Specialist
Bioinformatics Analyst
Personalized Medicine Developer
Healthcare AI Consultant
Biomedical Engineer
Oncology Clinical Researcher

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