Supporting Material

Literature Primária

1. Apontamentos da unidade curricular a serem facultados pelo corpo docente antes do início das aulas (em Lectures)

2. Topol, E.J. High-performance medicine: the convergence of human and artificial intelligence. Nat Med 25, 44–56 (2019). https://www.nature.com/articles/s41591-018-0300-7

3. Acosta, J.N., Falcone, G.J., Rajpurkar, P. et al. Multimodal biomedical AI. Nat Med 28, 1773–1784 (2022). https://www.nature.com/articles/s41591-022-01981-2

4. Ziad Obermeyer and Eric J Topol. Artificial intelligence, bias, and patients’ perspectives. The Lancet 397, P2038 (2021). https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)01152-1/fulltext

5. Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola. https://d2l.ai (disponível gratuitamente no website)

6. Mens and Kording. Ten simple rules for structuring papers Plos Computational Biology

Literatura Secundária

1. Ian Goodfellow and Yoshua Bengio and Aaron Courville, Deep Learning, An MIT Press book https://www.deeplearningbook.org

2. Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. An Introduction to Statistical Learning with Applications in Python https://hastie.su.domains/ISLP/ISLP_website.pdf

3. Kevin P. Murphy. Probabilistic Machine Learning - Advanced Topics. An MIT Press book https://probml.github.io/pml-book/book2.html

4. Eric Topol. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. https://books.google.pt/books?id=_EFlDwAAQBAJ&printsec=frontcover&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false

5. Sebastian Raschka, Machine Learning with PyTorch and Scikit-Learn 4th Edition