High-performance medicine: the convergence of human and artificial intelligence
EJ Topol - Nature medicine, 2019 - nature.com
The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …
enabled by the use of labeled big data, along with markedly enhanced computing power …
Resolving genetic heterogeneity in cancer
To a large extent, cancer conforms to evolutionary rules defined by the rates at which clones
mutate, adapt and grow. Next-generation sequencing has provided a snapshot of the …
mutate, adapt and grow. Next-generation sequencing has provided a snapshot of the …
A review of deep learning on medical image analysis
Compared with common deep learning methods (eg, convolutional neural networks),
transfer learning is characterized by simplicity, efficiency and its low training cost, breaking …
transfer learning is characterized by simplicity, efficiency and its low training cost, breaking …
[HTML][HTML] Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives
J Xu, P Yang, S Xue, B Sharma, M Sanchez-Martin… - Human genetics, 2019 - Springer
In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …
generation sequencing technologies and rapid growth in biomedical publication has led to …
[HTML][HTML] Clonal architecture in mesothelioma is prognostic and shapes the tumour microenvironment
M Zhang, JL Luo, Q Sun, J Harber, AG Dawson… - Nature …, 2021 - nature.com
Abstract Malignant Pleural Mesothelioma (MPM) is typically diagnosed 20–50 years after
exposure to asbestos and evolves along an unknown evolutionary trajectory. To elucidate …
exposure to asbestos and evolves along an unknown evolutionary trajectory. To elucidate …
Subclonal reconstruction of tumors by using machine learning and population genetics
Most cancer genomic data are generated from bulk samples composed of mixtures of cancer
subpopulations, as well as normal cells. Subclonal reconstruction methods based on …
subpopulations, as well as normal cells. Subclonal reconstruction methods based on …
[HTML][HTML] Normal tissue architecture determines the evolutionary course of cancer
Cancer growth can be described as a caricature of the renewal process of the tissue of
origin, where the tissue architecture has a strong influence on the evolutionary dynamics …
origin, where the tissue architecture has a strong influence on the evolutionary dynamics …
Integrating artificial and human intelligence: a partnership for responsible innovation in biomedical engineering and medicine
K Dzobo, S Adotey, NE Thomford… - Omics: a journal of …, 2020 - liebertpub.com
Historically, the term “artificial intelligence” dates to 1956 when it was first used in a
conference at Dartmouth College in the US. Since then, the development of artificial …
conference at Dartmouth College in the US. Since then, the development of artificial …
[HTML][HTML] Tumor heterogeneity: preclinical models, emerging technologies, and future applications
Heterogeneity describes the differences among the cancer cells within and between tumors.
It refers to cancer cells describing variations in morphology, transcriptional profiles …
It refers to cancer cells describing variations in morphology, transcriptional profiles …
[HTML][HTML] Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures
Sampling restrictions have hindered the comprehensive study of invasive non-enhancing
(NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present …
(NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present …