AIMC Topic: Models, Biological

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How AI Is Optimizing the Detection and Management of Prostate Cancer.

IEEE pulse
Annually, approximately 20 million men are prostate-specific-antigen screened, and 1.3 million undergo an invasive biopsy to diagnose roughly 200,000 new cases, 50% of which end up being indolent. Approximately 30,000 men die of prostate cancer (PCa)...

Machine Learning-Based Modeling of Drug Toxicity.

Methods in molecular biology (Clifton, N.J.)
Toxicity is an important reason for the failure of drug research and development (R&D). The traditional experimental testings for chemical toxicity profile are costly and time-consuming. Therefore, it is attractive to develop the effective and accura...

OWL-NETS: Transforming OWL Representations for Improved Network Inference.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Our knowledge of the biological mechanisms underlying complex human disease is largely incomplete. While Semantic Web technologies, such as the Web Ontology Language (OWL), provide powerful techniques for representing existing knowledge, well-establi...

Conceptual Challenges in the Theoretical Foundations of Systems Biology.

Methods in molecular biology (Clifton, N.J.)
In the last decade, Systems Biology has emerged as a conceptual and explanatory alternative to reductionist-based approaches in molecular biology. However, the foundations of this new discipline need to be fleshed out more carefully. In this paper, w...

Discovering Pediatric Asthma Phenotypes on the Basis of Response to Controller Medication Using Machine Learning.

Annals of the American Thoracic Society
RATIONALE: Pediatric asthma has variable underlying inflammation and symptom control. Approaches to addressing this heterogeneity, such as clustering methods to find phenotypes and predict outcomes, have been investigated. However, clustering based o...

Neuro-fuzzy method for predicting the viability of stem cells treated at different time-concentration conditions.

Technology and health care : official journal of the European Society for Engineering and Medicine
Dental stem cells isolated for human dental pulp are an excellent source for regenerative medicine and dentistry. Simulation of clinical scenario is one of the crucial challenges for evaluation of the efficacy of DPSCs in various regenerative therapi...

Points of Significance: Machine learning: a primer.

Nature methods
Machine learning extracts general principles from observed examples without explicit instructions.

Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment.

Bioinformatics (Oxford, England)
MOTIVATION: The concept of a 'mechanism-based taxonomy of human disease' is currently replacing the outdated paradigm of diseases classified by clinical appearance. We have tackled the paradigm of mechanism-based patient subgroup identification in th...

CAPi: Computational Model for Apicoplast Inhibitors Prediction Against Plasmodium Parasite.

Current computer-aided drug design
BACKGROUND: Discovery of apicoplast as a drug target offers a new direction in the development of novel anti-malarial compounds, especially against the drug-resistant strains. Drugs such as azithromycin were reported to block the apicoplast developme...

[Optimization and evaluation of an inflammatory cell model in LPS-stimulated PMA-differentiated THP-1 cells].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology
Objective To develop an optimal inflammatory cell model from lipopolysaccharide (LPS)-stimulated phorbol ester (PMA)-differentiated THP-1 cells, and investigate its response to anti-inflammatory agent phosphodiesterase inhibitor rolipram. Methods THP...