AIMC Topic: Molecular Imaging
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Towards the automation of early-stage human embryo development detection.
Biomedical engineering online
Dec 12, 2019
BACKGROUND: Infertility and subfertility affect a significant proportion of humanity. Assisted reproductive technology has been proven capable of alleviating infertility issues. In vitro fertilisation is one such option whose success is highly depend...
Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry.
Mass spectrometry reviews
Oct 11, 2019
Imaging mass spectrometry (IMS) is a rapidly advancing molecular imaging modality that can map the spatial distribution of molecules with high chemical specificity. IMS does not require prior tagging of molecular targets and is able to measure a larg...
Looking beyond the hype: Applied AI and machine learning in translational medicine.
EBioMedicine
Aug 26, 2019
Big data problems are becoming more prevalent for laboratory scientists who look to make clinical impact. A large part of this is due to increased computing power, in parallel with new technologies for high quality data generation. Both new and old t...
Intelligent Imaging: Artificial Intelligence Augmented Nuclear Medicine.
Journal of nuclear medicine technology
Aug 10, 2019
Artificial intelligence (AI) in nuclear medicine and radiology represents a significant disruptive technology. Although there has been much debate about the impact of AI on the careers of radiologists, the opportunities in nuclear medicine enhance th...
Applying Deep Neural Network Analysis to High-Content Image-Based Assays.
SLAS discovery : advancing life sciences R & D
Jul 8, 2019
The etiological underpinnings of many CNS disorders are not well understood. This is likely due to the fact that individual diseases aggregate numerous pathological subtypes, each associated with a complex landscape of genetic risk factors. To overco...
Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.
European journal of nuclear medicine and molecular imaging
Jul 6, 2019
Techniques from the field of artificial intelligence, and more specifically machine (deep) learning methods, have been core components of most recent developments in the field of medical imaging. They are already being exploited or are being consider...
Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data.
European journal of nuclear medicine and molecular imaging
Jun 15, 2019
Artificial intelligence (AI) is currently regaining enormous interest due to the success of machine learning (ML), and in particular deep learning (DL). Image analysis, and thus radiomics, strongly benefits from this research. However, effectively an...
What can artificial intelligence teach us about the molecular mechanisms underlying disease?
European journal of nuclear medicine and molecular imaging
Jun 12, 2019
While molecular imaging with positron emission tomography or single-photon emission computed tomography already reports on tumour molecular mechanisms on a macroscopic scale, there is increasing evidence that there are multiple additional features wi...
Single-cell approaches to cell competition: High-throughput imaging, machine learning and simulations.
Seminars in cancer biology
May 18, 2019
Cell competition is a quality control mechanism in tissues that results in the elimination of less fit cells. Over the past decade, the phenomenon of cell competition has been identified in many physiological and pathological contexts, driven either ...
Is There Value for Artificial Intelligence Applications in Molecular Imaging and Nuclear Medicine?
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
May 3, 2019
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