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Add lecture on ethical and legal considerations for biomedical AI
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layout: default | ||
title: M6 - Generative AI | ||
nav_order: 9 | ||
nav_order: 10 | ||
has_children: true | ||
--- |
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--- | ||
layout: page | ||
title: Generative AI Part II | ||
nav_order: 2 | ||
title: Generative AI Part I | ||
nav_order: 1 | ||
parent: M6 - Generative AI | ||
description: BMI 702 - Foundations in Biomedical Informatics II - Biomedical Artificial Intelligence | ||
--- | ||
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# Week 13 - Generative AI Part II | ||
# Week 13 - Generative AI Part I | ||
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## Required Reading (Week 13 Pre-Class Quiz) | ||
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* [Biomarkers as drug development tools: discovery, validation, qualification and use](https://www.nature.com/articles/s41584-018-0005-9) | ||
* [Machine learning identifies candidates for drug repurposing in Alzheimer's disease](https://www.nature.com/articles/s41467-021-21330-0) | ||
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* [A deep learning approach to antibiotic discovery](https://www.sciencedirect.com/science/article/pii/S0092867420301021) | ||
* [Sparse dictionary learning recovers pleiotropy from human cell fitness screens](https://www.cell.com/cell-systems/fulltext/S2405-4712(21)00488-9) | ||
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## Optional Reading | ||
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* [Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design](https://www.medrxiv.org/content/10.1101/2023.03.19.23287458) | ||
* [Can you teach old drugs new tricks?](https://www.nature.com/articles/534314a) | ||
* [The potential of artificial intelligence to improve patient safety: a scoping review](https://www.nature.com/articles/s41746-021-00423-6) | ||
* [Population-scale identification of differential adverse events before and during a pandemic](https://www.nature.com/articles/s43588-021-00138-4) | ||
* [Clinical biomarkers in drug discovery and development](https://www.nature.com/articles/nrd1130) | ||
* [Applications of machine learning in drug discovery and development](https://www.nature.com/articles/s41573-019-0024-5) | ||
* [Artificial intelligence foundation for therapeutic science](https://www.nature.com/articles/s41589-022-01131-2) | ||
* [Therapeutics Data Commons](https://tdcommons.ai) | ||
* [Identification of disease treatment mechanisms through the multiscale interactome](https://www.nature.com/articles/s41467-021-21770-8) |
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--- | ||
layout: page | ||
title: Generative AI Part II | ||
nav_order: 2 | ||
parent: M6 - Generative AI | ||
description: BMI 702 - Foundations in Biomedical Informatics II - Biomedical Artificial Intelligence | ||
--- | ||
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# Week 14 - Generative AI Part II | ||
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## Required Reading (Week 14 Pre-Class Quiz) | ||
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* [Biomarkers as drug development tools: discovery, validation, qualification and use](https://www.nature.com/articles/s41584-018-0005-9) | ||
* [Machine learning identifies candidates for drug repurposing in Alzheimer's disease](https://www.nature.com/articles/s41467-021-21330-0) | ||
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## Optional Reading | ||
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* [Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design](https://www.medrxiv.org/content/10.1101/2023.03.19.23287458) | ||
* [Can you teach old drugs new tricks?](https://www.nature.com/articles/534314a) | ||
* [The potential of artificial intelligence to improve patient safety: a scoping review](https://www.nature.com/articles/s41746-021-00423-6) | ||
* [Population-scale identification of differential adverse events before and during a pandemic](https://www.nature.com/articles/s43588-021-00138-4) | ||
* [Clinical biomarkers in drug discovery and development](https://www.nature.com/articles/nrd1130) |
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