منابع مربوط به رشته‌هایی که امسال برنده جایزه‌های نوبل در رشته‌های پزشکی، فیزیک و شیمی شدند:
فیزیک:
"Machine Learning: A Probabilistic Perspective" by Kevin P. Murphy
"Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig
"Pattern Recognition and Machine Learning" by Christopher M. Bishop
"Neural Networks and Deep Learning: A Textbook" by Charu C. Aggarwal
"Neural Networks and Learning Machines" by Simon Haykin
"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
"The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World" by Pedro Domingos
"Superintelligence: Paths, Dangers, Strategies" by Nick Bostrom
"AI Superpowers: China, Silicon Valley, and the New World Order" by Kai-Fu Lee
"Introduction to the Theory of Neural Computation" by John Hertz, Anders Krogh, and Richard G. Palmer
"Neural Networks: An Introduction" by Berndt Müller and Johann Reinhardt
"An Introduction to Statistical Learning" by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani
"The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
"Deep Reinforcement Learning Hands-On" by Maxim Lapan

منابعی درباره موضوع جایزه پزشکی :
"microRNA: Basics and Clinical Applications" edited by Gaetano Santulli
"microRNAs in Development and Cancer" by Frank J. Slack
"The Biology of microRNAs: A Functional and Evolutionary Perspective" by Andrew Grimson and David P. Bartel
"MicroRNA Regulation: Methods and Protocols" edited by Mouldy Sioud
"Regulation of Gene Expression by Small RNAs" by Nikolaus Rajewsky, Andrea Califano, and others
"RNA Interference and miRNA Silencing Pathways" edited by Gordon G. Carmichael
"microRNAs and the Reproductive System" edited by Ricardo Azziz
"Non-coding RNAs in Reproductive Biology" edited by Dagmar Wilhelm and Patrick Western
"miRNAs and Their Regulatory Roles in Stem Cells" by Kevin Morris
"microRNAs in Development and Stem Cells" by K. Lenhard Rudolph
"Gene Expression and Regulation: The Role of miRNA" by Kevin Struhl
"Epigenetics and microRNA: Understanding Complex Gene Regulation" by Martin Turner
"RNA Regulation and the miRNA Pathway" by Jeffrey Wilusz
"The Role of microRNAs in Human Diseases" edited by Bertrand Jordan

منابعی درباره موضوع جایزه شیمی:
"The Machinery of Life" by David S. Goodsell
"Protein Folding: A New Approach" by David P. Kasper
"Protein Folding and Misfolding: Cellular Responses to Proteins at Risk" edited by Victor Munoz
"Principles of Protein Structure" by G.E. Schulz and R.H. Schirmer
"How Proteins Work" by Mike Williamson
"Protein Folding: Methods and Protocols" edited by Yawen Bai
"AlphaFold: The Making of a Scientific Revolution in Protein Structure Prediction" by John Moult
"Deep Learning for Protein Structure Prediction" by Charlotte Deane and David Jones
"Protein Structure Prediction: Concepts and Applications" edited by Mohammed Zaki
"Protein Synthesis and Folding in the Cell" edited by Alexander Varshavsky
"The Evolution of Protein Synthesis Machinery and Its Impact on Protein Folding" by Laurence Hurst
"The Birth of a Protein: The Evolution of a Molecular Machine" by Mark D. Ridley
"The Protein Folding Problem and Its Solutions" by Ken Dill and Justin MacCallum
"Designing Proteins by Computational Folding: From Theory to Therapeutics" edited by Jeffrey Skolnick
"The Future of Biopharmaceuticals: Protein Folding and Design in Drug Discovery" by Uwe Gottschalk
"Protein Folding and Stability: Practical Problems and Solutions" edited by Felix Franks
"Molecular Chaperones and Protein Folding in the Cell" edited by Peter Walter
"Protein Misfolding Diseases: Current and Emerging Principles and Therapies" edited by Cláudio M. Gomes and Francisco J. Monteiro
"Synthetic Biology: A Primer" by Paul S. Freemont and Richard I Kitney
"The Protein Folding Problem: Theoretical and Computational Approaches" edited by Hiroshi Noguchi