AI Medical Compendium Topic:
Knowledge Bases

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An enhanced workflow for variant interpretation in UniProtKB/Swiss-Prot improves consistency and reuse in ClinVar.

Database : the journal of biological databases and curation
Personalized genomic medicine depends on integrated analyses that combine genetic and phenotypic data from individual patients with reference knowledge of the functional and clinical significance of sequence variants. Sources of this reference knowle...

Design Considerations for a Knowledge Graph: The WATRIMed Use Case.

Studies in health technology and informatics
The World Health Organization estimates that as much as 80% of the population uses Traditional Medicine (TM) in some form, and in particular, herbal-based Traditional Medicine (HTM). However, TM is mostly orally transmitted and suffers from lack of s...

Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
The increasing amount of scientific literature in biological and biomedical science research has created a challenge in continuous and reliable curation of the latest knowledge discovered, and automatic biomedical text-mining has been one of the answ...

[Impact of DVH Outliers Registered in Knowledge-based Planning on Volumetric Modulated Arc Therapy Treatment Planning for Prostate Cancer].

Nihon Hoshasen Gijutsu Gakkai zasshi
RapidPlan, a knowledge-based planning software, uses a model library containing the dose-volume histogram (DVH) of previous treatment plans, and it automatically provides optimization objectives based on a trained model to future patients for volumet...

Autophagy and Apoptosis Specific Knowledgebases-guided Systems Pharmacology Drug Research.

Current cancer drug targets
BACKGROUND: Autophagy and apoptosis are the basic physiological processes in cells that clean up aged and mutant cellular components or even the entire cells. Both autophagy and apoptosis are disrupted in most major diseases such as cancer and neurol...

Expert knowledge-infused deep learning for automatic lung nodule detection.

Journal of X-ray science and technology
BACKGROUND: Computer aided detection (CADe) of pulmonary nodules from computed tomography (CT) is crucial for early diagnosis of lung cancer. Self-learned features obtained by training datasets via deep learning have facilitated CADe of the nodules. ...

LipidPedia: a comprehensive lipid knowledgebase.

Bioinformatics (Oxford, England)
MOTIVATION: Lipids are divided into fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, saccharolipids, sterols, prenol lipids and polyketides. Fatty acyls and glycerolipids are commonly used as energy storage, whereas glycerophospholipi...

Effects of a methodological infographic on research participants' knowledge, transparency, and trust.

Health psychology : official journal of the Division of Health Psychology, American Psychological Association
OBJECTIVE: Given participants' research literacy is essential for clinical trial participation, evidence-based strategies are needed that improve literacy and easily accessed online. We tested whether an infographic letter-that illustrated how dropou...