Primary Care

Preventive Care

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

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Applying under-sampling techniques and cost-sensitive learning methods on risk assessment of breast cancer.

Breast cancer is one of the most common cause of cancer mortality. Early detection through mammograp...

Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography.

The high number of false positives and the resulting number of avoidable breast biopsies are the maj...

PENG: a neural gas-based approach for pharmacophore elucidation. method design, validation, and virtual screening for novel ligands of LTA4H.

The pharmacophore concept is commonly employed in virtual screening for hit identification. A pharma...

Data dependent random forest applied to screening for laryngeal disorders through analysis of sustained phonation: acoustic versus contact microphone.

Comprehensive evaluation of results obtained using acoustic and contact microphones in screening for...

An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps.

BACKGROUND: There is a growing demand for women to be classified into different risk groups of devel...

Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.

INTRODUCTION: As many as 3% of computed tomography (CT) scans detect pancreatic cysts. Because pancr...

Active-learning strategies in computer-assisted drug discovery.

High-throughput compound screening is time and resource consuming, and considerable effort is invest...

Screening of Panamanian Plants for Cosmetic Properties, and HPLC-Based Identification of Constituents with Antioxidant and UV-B Protecting Activities.

A library of 600 taxonomically diverse Panamanian plant extracts was screened for DPPH scavenging an...

Region based stellate features combined with variable selection using AdaBoost learning in mammographic computer-aided detection.

In this paper, a new method is developed for extracting so-called region-based stellate features to ...

Identification of the Best Anthropometric Predictors of Serum High- and Low-Density Lipoproteins Using Machine Learning.

Serum high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol levels are associ...

Computer-aided diagnosis of malignant mammograms using Zernike moments and SVM.

This work is directed toward the development of a computer-aided diagnosis (CAD) system to detect ab...

Humanoid robotics in health care: An exploration of children's and parents' emotional reactions.

A new non-pharmacological method of distraction was tested with 57 children during their annual flu ...

Mapping the landscape of AI and ML in vaccine innovation: A bibliometric study.

With the rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies, t...

Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination ...

Virtual screening of umami peptides during sufu ripening based on machine learning and molecular docking to umami receptor T1R1/T1R3.

Umami peptides might significantly contribute to the taste of sufu. However, the inefficiencies of t...

Artificial intelligence across the cancer care continuum.

Artificial intelligence (AI) holds significant potential to enhance various aspects of oncology, spa...

Emerging blood biomarkers in Alzheimer's disease: a proteomic perspective.

Early detection of Alzheimer's disease (AD) remains a formidable clinical challenge, but emerging bl...

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