A Postgraduate Diploma (PG Diploma) in Artificial Intelligence (AI) in Clinical Research typically focuses on equipping students with specialized knowledge and skills at the intersection of AI and healthcare.
A PG Diploma in AI provides a comprehensive understanding of the processes involved in managing clinical trial data, from collection and validation to reporting and regulatory compliance.
AI enables the execution of hitherto complex tasks without significant cost outlays. AI operates 24×7 without interruption or breaks and has no downtime.
Curriculum Overview
- Introduction to AI in Clinical Research
- Traditional Clinical Research
- Role of AI in Clinical Research
- Natural Language processing
- Clinical Trial Optimization
- Patient Recruitment
- Trial Design Optimization
- Personalized Medicine
- Virtual Screening
- Drug –Target Interaction Prediction
Skills Developed
- Technical Skills: Proficiency in using data management software and tools, understanding database structures, and applying data standards like CDISC.
- Analytical Skills: Ability to analyse and interpret clinical trial data, ensuring accuracy and reliability.
- Data Management and Analysis: Clinical research involves handling large volumes of data, including patient records, clinical trial data, imaging data, genomic data, etc. Skills in data management, data cleaning, and data integration are essential for preparing data for AI-driven analysis.
- Statistical Analysis and Modeling: Understanding statistical methods and modeling techniques is fundamental for analyzing clinical data and deriving meaningful insights. AI applications often rely on statistical techniques for predictive modeling, hypothesis testing, and identifying correlations.
- Ethical and Regulatory Understanding: Awareness of ethical considerations in clinical research and healthcare AI, as well as knowledge of regulatory frameworks (such as GDPR, HIPAA, FDA regulations), is critical for ensuring that AI applications comply with legal and ethical standards.
Career Opportunities
Graduates of a PG Diploma in AI can pursue various roles in pharmaceutical companies, Contract Research Organizations (CROs), biotechnology firms, and healthcare organizations, including:
- AI Researcher: Researchers in this role focus on advancing AI techniques and algorithms specifically for clinical applications. They may work in academia, research institutions, or private industry to develop new AI methodologies that improve diagnosis, treatment, or patient outcomes.
- Clinical Trial AI Coordinator: These coordinators manage the integration of AI technologies into clinical trials, ensuring that AI tools are effectively deployed to support trial design, patient recruitment, data analysis, and compliance with regulatory requirements.
- Clinical AI Researcher: Researchers in this role focus on advancing AI techniques and algorithms specifically for clinical applications. They may work in academia, research institutions, or private industry to develop new AI methodologies that improve diagnosis, treatment, or patient outcomes.
Eligibility PG diploma in Artificial Intelligence
- Life Science and Health Care Graduates or Diploma in any Discipline
- B.Sc/M.Sc.,Biotechnology, Microbiology, Genetics, Biochemistry, DMLT, MLT
- M.B.B.S.M.D., MS.
- B.D.S., M.D.S., B.V.SC, M.V.Sc, B.PTh, M.PTh, OPTh, ANM, GNM.
- B.H.M.S., B.A.M.S, B.U.M.S, B.Sc Nursing
- B. Pharma, M.Pharma, D.Pharm
- For SAS: B.C.A, B.com, BCCA, B.E. Any Other life science Graduates & Postgraduates
- Highly interested participate in the final year can also apply.
