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This 3-day lecture series, AI-Driven Innovations in CRISPR and Precision Medicine,This lecture series is designed for:
✔ Researchers & Scientists – Working in genetics, bioinformatics, AI, and biomedical sciences.
✔ Healthcare Professionals – Doctors, clinicians, and medical researchers interested in AI-driven precision medicine.
✔ Biotechnology & AI Enthusiasts – Individuals exploring the intersection of artificial intelligence and life sciences.
✔ Students & Academicians – Graduate and postgraduate students in biotechnology, bioinformatics, computational biology, and related fields.
✔ Industry Professionals – Biotech and pharmaceutical professionals focusing on AI applications in drug discovery and personalized treatments. delves into the intersection of artificial intelligence, gene editing, and personalized healthcare. Participants will explore how AI enhances CRISPR precision, accelerates genomic and biomarker analysis, and optimizes treatment strategies in precision medicine. The sessions will cover AI-driven diagnostics, predictive modeling for CRISPR outcomes, and ethical considerations surrounding these cutting-edge technologies. Through interactive discussions, case studies, and expert insights, this series aims to equip attendees with a comprehensive understanding of AI’s role in revolutionizing modern medicine.
Professional Certification Program
This 3-day lecture series aims to explore the transformative impact of AI in CRISPR-based gene editing and precision medicine. It will provide insights into how AI enhances CRISPR accuracy, optimizes genomic and biomarker analysis, predicts treatment outcomes, and addresses ethical and regulatory challenges in AI-driven healthcare. Through case studies, interactive discussions, and expert insights, participants will gain a comprehensive understanding of the future of AI-powered genetic and personalized medicine.
✔ CRISPR Introduction → Transformative impact of CRISPR on gene editing.
✔ AI Enhancing CRISPR → How AI improves precision and efficiency.
✔ AI in Genomic & Biomarker Analysis → AI’s role in analyzing genomic data.
✔ AI Tools for Biomarkers → Identifying biomarkers and predicting outcomes.
✔ Case Studies → AI-CRISPR integration in research.
✔ Q&A and Interactive Discussion
✔ AI in CRISPR Optimization → Predicting CRISPR outcomes and off-target effects.
✔ AI-Driven Diagnostics → AI in disease prediction and early diagnostics.
✔ Personalized Medicine → AI in patient-specific treatment plans.
✔ Techniques for CRISPR & Precision Medicine → Improving treatment efficiencies.
✔ Q&A and Case Study Discussion
✔ Ethical Challenges → AI & CRISPR ethical dilemmas.
✔ Policy-Making → Responsible gene editing and AI-driven healthcare policies.
✔ Regulatory Compliance → AI applications in medicine and legal frameworks.
✔ Data Security & Privacy → Protecting patient information in AI-driven medicine.
✔ Balancing Innovation with Societal Impact
✔ Open Forum and Closing Remarks
This lecture series is designed for:
✔ Researchers & Scientists – Working in genetics, bioinformatics, AI, and biomedical sciences.
✔ Healthcare Professionals – Doctors, clinicians, and medical researchers interested in AI-driven precision medicine.
✔ Biotechnology & AI Enthusiasts – Individuals exploring the intersection of artificial intelligence and life sciences.
✔ Students & Academicians – Graduate and postgraduate students in biotechnology, bioinformatics, computational biology, and related fields.
✔ Industry Professionals – Biotech and pharmaceutical professionals focusing on AI applications in drug discovery and personalized treatments.
2025-02-20
Indian Standard Timing 1:00 pm
2025-02-20 to 2025-02-22
Indian Standard Timing 5 PM
INR. 1999
USD. 45
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USD. 50
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INR. 4999
USD. 75
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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.
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