AIMC Topic: Artificial Intelligence

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Pre- and Post-publication Verification for Reproducible Data Mining in Macromolecular Crystallography.

Methods in molecular biology (Clifton, N.J.)
Like an article narrative is deemed by an editor and referees to be worthy of being a version of record on acceptance as a publication, so must the underpinning data also be scrutinized before passing it as a version of record. Indeed without the und...

From space to biomedicine: Enabling biomarker data science in the cloud.

Cancer biomarkers : section A of Disease markers
NASA's Jet Propulsion Laboratory (JPL) is advancing research capabilities for data science with two of the National Cancer Institute's major research programs, the Early Detection Research Network (EDRN) and the Molecular and Cellular Characterizatio...

[Percellome Project: research on molecular mechanisms of toxicological responses based on transcriptomics and epigenetics].

Nihon yakurigaku zasshi. Folia pharmacologica Japonica
We are constructing the "Percellome Database" containing many transcriptomes of mice exposed to a series of chemicals to elucidate the molecular mechanism of toxicity and to develop toxicity prediction technology. Acute toxicity of a chemical can be ...

Genome-Enabled Prediction Methods Based on Machine Learning.

Methods in molecular biology (Clifton, N.J.)
Growth of artificial intelligence and machine learning (ML) methodology has been explosive in recent years. In this class of procedures, computers get knowledge from sets of experiences and provide forecasts or classification. In genome-wide based pr...

AI Tools Poised to Improve Patient Health Care.

IEEE pulse
Technologies to provide early predictions of breast cancer risk, to identify which hospital patients actually should have their vital signs monitored overnight and which should be left to their restorative sleep, and to swiftly identify rare infant d...

Personal Dense Dynamic Data Clouds Connect Systems Biomedicine to Scientific Wellness.

Methods in molecular biology (Clifton, N.J.)
The dramatic convergence of molecular biology, genomics, proteomics, metabolomics, bioinformatics, and artificial intelligence has provided a substrate for deep understanding of the biological basis of health and disease. Systems biology is a holisti...

Development and Applications of Interoperable Biomedical Ontologies for Integrative Data and Knowledge Representation and Multiscale Modeling in Systems Medicine.

Methods in molecular biology (Clifton, N.J.)
The data FAIR Guiding Principles state that all data should be Findable, Accessible, Interoperable, and Reusable. Ontology is critical to data integration, sharing, and analysis. Given thousands of ontologies have been developed in the era of artific...

Detecting Oral Cancer: The Potential of Artificial Intelligence.

Current medical imaging
BACKGROUND: Physical inspection is a simple way to diagnose oral cancer. Most cases of oral cancer, on the contrary, are diagnosed late, resulting in needless mortality and morbidity. While highrisk screening populations appears to be helpful, these ...

[Development of Clinical Pharmaceutical Services via Artificial Intelligence Adaptation].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
Recently, social implementations of artificial intelligence (AI) have been rapidly advancing. Many papers have investigated the use of AI in the field of healthcare. However, there have been few studies on the adaptation of AI to clinical pharmaceuti...

Interdisciplinary Collaboration Opportunities, Challenges, and Solutions for Artificial Intelligence in Ultrasound.

Current medical imaging
Ultrasound is one of the most widely utilized imaging tools in clinical practice with the advantages of noninvasive nature and ease of use. However, ultrasound examinations have low reproducibility and considerable heterogeneity due to the variabilit...