AI Medical Compendium Topic

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Biological Science Disciplines

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The global geography of artificial intelligence in life science research.

Nature communications
Artificial intelligence (AI) promises to transform medicine, but the geographic concentration of AI expertize may hinder its equitable application. We analyze 397,967 AI life science research publications from 2000 to 2022 and 14.5 million associated...

An open source knowledge graph ecosystem for the life sciences.

Scientific data
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowle...

Artificial intelligence-enabled quantitative phase imaging methods for life sciences.

Nature methods
Quantitative phase imaging, integrated with artificial intelligence, allows for the rapid and label-free investigation of the physiology and pathology of biological systems. This review presents the principles of various two-dimensional and three-dim...

Context-based refinement of mappings in evolving life science ontologies.

Journal of biomedical semantics
BACKGROUND: Biomedical computational systems benefit from ontologies and their associated mappings. Indeed, aligned ontologies in life sciences play a central role in several semantic-enabled tasks, especially in data exchange. It is crucial to maint...

Quantum computing for near-term applications in generative chemistry and drug discovery.

Drug discovery today
In recent years, drug discovery and life sciences have been revolutionized with machine learning and artificial intelligence (AI) methods. Quantum computing is touted to be the next most significant leap in technology; one of the main early practical...

Imitation in automata and robots: A philosophical case study on Kempelen.

Studies in history and philosophy of science
With robots being of far-ranging public and academic interest, attempts are made to set these into relation to earlier self-moving machines. Automata from European Enlightenment, especially in the 18th century, are such machines being referenced. The...

Biological Robots: Perspectives on an Emerging Interdisciplinary Field.

Soft robotics
Advances in science and engineering often reveal the limitations of classical approaches initially used to understand, predict, and control phenomena. With progress, conceptual categories must often be re-evaluated to better track recently discovered...

The Ontology of Biological Attributes (OBA)-computational traits for the life sciences.

Mammalian genome : official journal of the International Mammalian Genome Society
Existing phenotype ontologies were originally developed to represent phenotypes that manifest as a character state in relation to a wild-type or other reference. However, these do not include the phenotypic trait or attribute categories required for ...

ncDENSE: a novel computational method based on a deep learning framework for non-coding RNAs family prediction.

BMC bioinformatics
BACKGROUND: Although research on non-coding RNAs (ncRNAs) is a hot topic in life sciences, the functions of numerous ncRNAs remain unclear. In recent years, researchers have found that ncRNAs of the same family have similar functions, therefore, it i...

Transformer-based deep learning for predicting protein properties in the life sciences.

eLife
Recent developments in deep learning, coupled with an increasing number of sequenced proteins, have led to a breakthrough in life science applications, in particular in protein property prediction. There is hope that deep learning can close the gap b...