This three-day workshop covers AI applications in advanced medical diagnosis, predictive analytics for healthcare outcomes, and personalized medicine. Participants will engage in hands-on sessions and case studies to understand practical implementations and future directions in AI-driven healthcare.

Aim

To equip PhD scholars and academicians with advanced skills in leveraging AI for healthcare applications. This course aims to enhance capabilities in medical diagnosis, predictive analytics, and personalized medicine through AI-driven techniques and tools.

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Workshop Objectives

Master AI techniques for advanced medical diagnosis.
Implement predictive analytics models in healthcare.
Develop AI-driven personalized treatment plans.
Ensure ethical use of AI in healthcare applications.
Analyze and apply real-world case studies in healthcare AI.

Workshop Structure

Day 1: AI in Advanced Medical Diagnosis

Lecture Topics:
- AI techniques for disease detection and classification
- Case studies in radiology and pathology
Discussion & Case Studies:
- Ethical implications and data privacy
- Practical implementation and validation

Day 2: Predictive Analytics in Healthcare

Lecture Topics:
- Advanced predictive models for patient outcomes
- Applications in hospital management and resource allocation
Discussion & Case Studies:
- Real-world examples and case studies
- Hands-on session with healthcare datasets

Day 3: Personalized Medicine with AI

Lecture Topics:
- AI-driven personalized treatment plans and drug discovery
- Integration of genomics and AI
Discussion & Case Studies:
- Case studies in personalized healthcare
- Practical implementation and future directions

Participant’s Eligibility

Medical professionals, data scientists, AI researchers, bioinformaticians, and

Important Dates

Registration Ends

2024-10-16
Indian Standard Timing 1 PM

Workshop Dates

2024-10-16 to 2024-10-18
Indian Standard Timing 5 PM

Workshop Outcomes

Develop and implement AI models for advanced medical diagnosis.
Utilize predictive analytics for patient outcome forecasting.
Create personalized treatment plans using AI.
Address ethical and data privacy issues in AI healthcare applications.
Apply and analyze real-world case studies in AI-driven healthcare.

Mentor Profile

Name: Karar Haider
Designation: AI – Engg
Affiliation: ML1

MR. SYED KRAR HAIDER BUKHARI is Lecturer in the Department of Computer Science and associated with Faculty of Computer Science and Information Technology, Superior University, Lahore. He received the Master of Science degree in computer science (MSCS) from FAST NUCES Islamabad, Pakistan in 2022. He has 5+ years of experience in Artificial Intelligence, machine learning, image processing, computer Vision, deep Learning ,NLP and Generative AI.He is currently working as an Data Scientist at digital DirAction. He is mentor and AI / ML Trainer at DirAction. He worked remotely as an AI / ML engineer at TPL UK based company. He is Editorial Board Member at STM Journals. He also worked remotely as an AI / ML engineer. He recived distinguished awards in research funds for his publications.His research publication includes in the areas of artificial intelligence, machine learning, image processing, computer Vision, NLP, and deep learning.

Fee Structure

Student

INR. 1499
USD. 40

Ph.D. Scholar / Researcher

INR. 1999
USD. 45

Academician / Faculty

INR. 2999
USD. 50

Industry Professional

INR. 4999
USD. 75

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

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Key Takeaways

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

Future Career Prospects

Clinical Data Scientist
AI Specialist in Healthcare
Bioinformatics Researcher
Medical AI Consultant
Healthcare Data Analyst
Academic Researcher

Job Opportunities

Hospitals and healthcare providers
Research institutions
Biotechnology firms
Pharmaceutical companies
Government health agencies
Academic institutions

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