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Overview: In this episode of the Delta Dialog, we disuss the intersection of AI, machine learning, and healthcare. Sara, a researcher in the field, shares insights into how these technologies are applied to genetic and healthcare data to improve our understanding of diseases such as Alzheimer's and various types of cancer.
Key Topics Discussed:
1. Introduction to Single Cell RNA Sequencing:
2. Contributions of Single Cell RNA Sequencing to Alzheimer’s Research:
3. Early Diagnosis and Preclinical Studies:
4. Ethical Considerations in AI and Healthcare:
5. Handling Large Genetic and Healthcare Datasets:
6. Public Understanding of AI and Healthcare:
7. Advice for Aspiring Researchers:
8. Recommended Resources and Channels:
Conclusion:
Sara Moein shares valuable insights into how AI and machine learning are revolutionizing healthcare, particularly in the study of complex diseases like Alzheimer’s and cancer. The conversation underscores the importance of ethical considerations, continuous learning, and the need for public understanding of these advanced technologies.
Overview: In this episode of the Delta Dialog, we disuss the intersection of AI, machine learning, and healthcare. Sara, a researcher in the field, shares insights into how these technologies are applied to genetic and healthcare data to improve our understanding of diseases such as Alzheimer's and various types of cancer.
Key Topics Discussed:
1. Introduction to Single Cell RNA Sequencing:
2. Contributions of Single Cell RNA Sequencing to Alzheimer’s Research:
3. Early Diagnosis and Preclinical Studies:
4. Ethical Considerations in AI and Healthcare:
5. Handling Large Genetic and Healthcare Datasets:
6. Public Understanding of AI and Healthcare:
7. Advice for Aspiring Researchers:
8. Recommended Resources and Channels:
Conclusion:
Sara Moein shares valuable insights into how AI and machine learning are revolutionizing healthcare, particularly in the study of complex diseases like Alzheimer’s and cancer. The conversation underscores the importance of ethical considerations, continuous learning, and the need for public understanding of these advanced technologies.