AIMC Topic: Machine Learning

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Using machine learning method to identify as a novel marker to predict biochemical recurrence in prostate cancer.

Biomarkers in medicine
This study aims to identify novel marker to predict biochemical recurrence (BCR) in prostate cancer patients after radical prostatectomy with negative surgical margin. The Cancer Genome Atlas database, Gene Expression Omnibus database and Cancer Ce...

Data Science-Based Analysis of Patient Subgroup Structures Suggest Effects of Rhinitis on All Chemosensory Perceptions in the Upper Airways.

Chemical senses
Viral rhinitis contributes significantly to olfactory dysfunction, but it is unclear how many patients have other chemosensory symptoms in addition to olfactory loss. This was addressed in the present reanalysis of data previously published in Pelleg...

[Artificial Intelligence in Radiology - Definition, Potential and Challenges].

Praxis
Artificial Intelligence in Radiology - Definition, Potential and Challenges Artificial Intelligence (AI) is omnipresent. It has neatly permeated our daily life, even if we are not always fully aware of its ubiquitous presence. The healthcare sector ...

Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery.

Current drug targets
Artificial Intelligence revolutionizes the drug development process that can quickly identify potential biologically active compounds from millions of candidate within a short period. The present review is an overview based on some applications of Ma...

Intelligent medical image feature extraction method based on improved deep learning.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Medical patients can be diagnosed early, however it is difficult to extract effective features in medical image segmentation based on semantic information.

Machine learning: A primer for psychotherapy researchers.

Psychotherapy research : journal of the Society for Psychotherapy Research

Structures of the β-barrel assembly machine recognizing outer membrane protein substrates.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
β-barrel outer membrane proteins (β-OMPs) play critical roles in nutrition acquisition, protein import/export, and other fundamental biological processes. The assembly of β-OMPs in Gram-negative bacteria is mediated by the β-barrel assembly machinery...

Analysis of Risk Factors in Dementia Through Machine Learning.

Journal of Alzheimer's disease : JAD
BACKGROUND: Sociodemographic data indicate the progressive increase in life expectancy and the prevalence of Alzheimer's disease (AD). AD is raised as one of the greatest public health problems. Its etiology is twofold: on the one hand, non-modifiabl...