Artificial Intelligence for Cancer Drug Delivery
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Course Overview
Workshop Registration End Date :2024-09-24
Program Syllabus
Module 1
About
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.
Module 2
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.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Artificial Intelligence for Cancer Drug Delivery
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
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.
Module 4
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
Module 5
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.
Module 6
Important Dates
Module 7
Registration Ends
2024-09-24
Indian Standard Timing 4:00 pm
Module 8
Workshop Dates
2024-09-24 to 2024-09-26
Indian Standard Timing 4:30 pm
Module 9
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.
Module 10
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Mentor Profile
Dr. Bandoo Chhagan Chatale
Founder and Mentor of Pharmacy Success Hub
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 . . .
Module 11
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!
List of Currencies
Fee Structure
Module 12
Student
INR. 1399
USD. 50
Module 13
Ph.D. Scholar / Researcher
INR. 1699
USD. 55
Module 14
Academician / Faculty
INR. 2199
USD. 60
Module 15
Industry Professional
INR. 2699
USD. 85
List of Currencies
Module 16
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Certificate
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 17
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.
Module 18
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
Module 19
Country
Affiliation
Module 20
Profession
Note: The information shown in the above-mentioned analytics is live and may include information that is not completely correct like spelling mistakes, grammatical mistakes , factual errors or even mis representation as this is what participants have entered, the information is currently not edited and or filtered , but at later stages they will be filtered to provide true data representation.
Module 21
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 22
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