Generative AI in the era of 'alternative facts'
|
MIT Open Publishing Services
Article
Despite advances in molecular biology, genetics, computation and medicinal chemistry, infectious disease remains an ominous threat to public health. Addressing the challenges posed by pathogen outbreaks, pandemics and antimicrobial resistance will require concerted interdisciplinary efforts. In conjunction with systems and synthetic biology, artificial intelligence (AI) is now leading to rapid progress, expanding anti-infective drug discovery, enhancing our understanding of infection biology and accelerating the development of diagnostics. In this review, researchers from the Massachusetts Institute of Technology (MIT), including Jim Collins, life sciences lead at the MIT Jameel Clinic, the epicentre of machine learning and healthcare at MIT, discuss approaches for detecting, treating and understanding infectious diseases, underscoring the progress supported by AI in each case.
|
MIT Open Publishing Services
|
Harvard Business Review Press
|
Arxiv
|
Arxiv
|
bioRxiv
|
Nature
|
Arxiv
|
Pancreas
|
Science
|
Cell Systems
|
Arxiv
|
Radiological Society of North America
|
Nature
|
Arxiv
|
Science Direct
|
PNAS
|
Nature
|
Arxiv
|
Journal of Clinical Oncology
|
Proceedings of Machine Learning Research
|
Dynamic Ideas
|
Science
|
Little, Brown and Company
|
Arxiv
|
Dynamic Ideas
|
Advances in Neural Information Processing Systems
|
International Journal of Computer Vision