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supervised machine learning

Supervised machine learning is a subfield of artificial intelligence where algorithms learn patterns from labeled data to make predictions or decisions. In this approach, the model is trained on a dataset containing input-output pairs, with the aim of learning the mapping between inputs and outputs. During training, the algorithm adjusts its parameters iteratively to minimize the difference between its predictions and the true labels.

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AI Integration in Healthcare Management

This course covers strategic healthcare management, operational excellence, financial management in healthcare settings, healthcare policy and law, and the integration of technology in healthcare services. The course emphasizes practical application through case studies and a capstone project.

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AI and Digital Health Informatics Integration

The course aims to blend theoretical knowledge with practical skills in implementing digital health solutions. Participants will learn about the latest digital health tools, data privacy and security, and how to leverage digital innovations to solve healthcare challenges.

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Innovations in AI for Diagnostic & Medical Devices

This specialized course is tailored for participants aiming to pioneer AI-driven innovations in the diagnostic and medical devices sector. Covering the fundamentals of AI and ML technologies, the course delves into their applications in diagnostics, imaging, wearable tech, and the regulatory landscape shaping these advancements.

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AI and Advanced Visualization: Healthcare Data Revolution

Through interactive dashboards, predictive analytics visualizations, and patient journey mapping, participants will learn how to turn data into actionable insights, supporting decision-making and improving patient care.

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Data Security with AI & Blockchain

This cutting-edge course is designed to immerse participants in the application of blockchain technology in healthcare data management. It covers the essentials of blockchain fundamentals, its implications for securing patient data, enhancing interoperability, and ensuring compliance with healthcare regulations. Through a mix of theoretical concepts and practical exercises, participants will learn to design blockchain solutions that address the unique challenges of healthcare data privacy and management.

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Optimizing Healthcare & Clinical Analytics with AI

This course is meticulously designed to provide healthcare professionals with an in-depth understanding of artificial intelligence (AI) and machine learning (ML) applications in the healthcare and clinical analytics sector.

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AI in Precision Medicine: Customized Healthcare

This course is designed to immerse healthcare professionals, biotechnologists, and data scientists in the rapidly evolving field of personalized medicine, leveraging artificial intelligence (AI) to tailor medical treatment to the individual characteristics of each patient.

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AI in Telemedicine: Designing the Digital Health Wave

This course is designed to explore the cutting-edge of telehealth technologies, offering participants a deep dive into the latest innovations, best practices, and regulatory frameworks that shape telehealth services today.

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AI and Robotics : Transforming Surgical Techniques for Patient Welfare

This cutting-edge course is designed to introduce and deepen knowledge of robotics applications in surgery and patient care. Covering the fundamentals of surgical robotics, automation in patient care, and ethical considerations, the course aims to blend theoretical knowledge with hands-on skills in robotics technology, emphasizing its practical application in healthcare.

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Healthcare Innovation: The AI-Enhanced Entrepreneurship

This dynamic course is designed to empower aspiring healthcare innovators and entrepreneurs with the knowledge, skills, and insights needed to drive advancements in the healthcare sector. Participants will explore the fundamentals of innovation, entrepreneurship, and business strategy within the context of healthcare, learning how to identify opportunities, develop viable healthcare solutions, and navigate the complexities of the healthcare market.

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AI and Digital Technologies: Pioneering Healthcare Transformation

This course is designed to provide healthcare professionals with a deep understanding of how digital technologies are transforming healthcare systems, processes, and patient care.

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AI Ethics and Governance in Healthcare

This course offers an in-depth examination of the ethical, legal, and governance issues surrounding the use of artificial intelligence in healthcare. It aims to equip healthcare professionals, policymakers, and technologists with the knowledge and skills needed to ensure AI technologies are developed, deployed, and governed ethically and responsibly within healthcare settings.

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AI for Risk Management in BFSI: Navigating the Future of Finance

This course offers a blend of intensive learning and practical application, spanning from foundational AI concepts to complex regulatory compliance and ethical considerations.

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AI for Fraud Detection in BFSI: Navigating Financial Integrity

This course aims to equip participants with advanced knowledge and skills in utilizing artificial intelligence to detect and prevent fraud within the Banking, Financial Services, and Insurance (BFSI) sector, focusing on practical applications and cutting-edge technologies.

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Epigenetic Mechanisms in Gene Regulation

This course provides an in-depth exploration of epigenetic mechanisms including DNA methylation, histone modification, and non-coding RNA involvement. It covers the implications of these processes in development, health, and disease. Through theoretical learning and practical case studies, students will gain a comprehensive understanding of how epigenetic regulation plays a critical role in gene expression and phenotype manifestation.

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CRISPR-Cas Genome Editing: Mechanisms and Applications

This course explores the revolutionary CRISPR-Cas system, a tool for precise genetic editing. Students will learn about the biological mechanisms, technological advancements, and ethical considerations of CRISPR-Cas, as well as its applications across various fields such as medicine, agriculture, and environmental science.

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Molecular Basis of Cancer: Therapeutics and Targets

This course framework is designed to thoroughly prepare students for advanced roles in cancer research and therapy development, making them valuable assets in the fields of biotechnology, pharmaceuticals, and clinical research.

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Advanced Immunology Techniques: From Bench to Discovery

This course is meticulously crafted to empower students and professionals with the latest techniques in immunology, enhancing their impact on biomedical research and increasing their employability in various sectors of healthcare and research.

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Certificate Course in Pharmacovigilance

To educate and train students in the principles and practices of pharmacovigilance, emphasizing the detection, assessment, understanding, and prevention of adverse effects or any other drug-related problems.

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Advanced Bioprocess Engineering

“Advanced Bioprocess Engineering” delves into the intricate world of manipulating biological systems for various applications. This program explores advanced techniques and principles essential for optimizing processes in biotechnology, pharmaceuticals, and other related industries.

Fee Plans

Basic Course

What will you Get

  • Access to e-LMS
  • Immediate commencement
  • Study material at your doorstep
  • Project Guidance from Subject Experts
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • Printed certification
  • Printed Marksheet

Advance Course

What will you Get

  • Access to e-LMS
  • Immediate commencement
  • Study material at your doorstepv Complete Basic Course
  • Complementary Scientific Technical Writing
  • Real Time Project for Dissertation
  • Project Guidance from Subject Experts
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • Printed certification
  • Printed Marksheet