Primary Care

Preventive Care

Latest AI and machine learning research in preventive care for healthcare professionals.

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Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms.

BACKGROUND: Resources for home care rehabilitation are limited, and many home care clients who could...

Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor.

Proteins embody epitopes that serve as their antigenic determinants. Epitopes occupy a central place...

Can Natural Language Processing Improve the Efficiency of Vaccine Adverse Event Report Review?

BACKGROUND: Individual case review of spontaneous adverse event (AE) reports remains a cornerstone o...

Machine-learning scoring functions to improve structure-based binding affinity prediction and virtual screening.

Docking tools to predict whether and how a small molecule binds to a target can be applied if a stru...

A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.

Breast cancer is the most deadly disease affecting women and thus it is natural for women aged 40-49...

Multistage virtual screening and identification of novel HIV-1 protease inhibitors by integrating SVM, shape, pharmacophore and docking methods.

The HIV-1 protease has proven to be a crucial component of the HIV replication machinery and a relia...

Colonoscopy with robotic steering and automated lumen centralization: a feasibility study in a colon model.

BACKGROUND AND STUDY AIMS: We introduced a new platform for performing colonoscopy with robotic stee...

Current state of micro-robots/devices as substitutes for screening colonoscopy: assessment based on technology readiness levels.

BACKGROUND: Previous reports have described several candidates, which have the potential to replace ...

A Hybrid Swarm Algorithm for optimizing glaucoma diagnosis.

Glaucoma is among the most common causes of permanent blindness in human. Because the initial sympto...

Experimental design strategy: weak reinforcement leads to increased hit rates and enhanced chemical diversity.

High Throughput Screening (HTS) is a common approach in life sciences to discover chemical matter th...

MLViS: A Web Tool for Machine Learning-Based Virtual Screening in Early-Phase of Drug Discovery and Development.

Virtual screening is an important step in early-phase of drug discovery process. Since there are tho...

Natural language processing as an alternative to manual reporting of colonoscopy quality metrics.

BACKGROUND AND AIMS: The adenoma detection rate (ADR) is a quality metric tied to interval colon can...

Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.

BACKGROUND: Manual eligibility screening (ES) for a clinical trial typically requires a labor-intens...

Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

The adaptive immune response to vaccination or infection can lead to the production of specific anti...

Screening Internet forum participants for depression symptoms by assembling and enhancing multiple NLP methods.

Depression is a disease that can dramatically lower quality of life. Symptoms of depression can rang...

Multi-center colonoscopy quality measurement utilizing natural language processing.

BACKGROUND: An accurate system for tracking of colonoscopy quality and surveillance intervals could ...

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