AIMC Topic: Machine Learning

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Natural Language Processing Technologies in Radiology Research and Clinical Applications.

Radiographics : a review publication of the Radiological Society of North America, Inc
The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. However, ther...

New approach for the diagnosis of extractions with neural network machine learning.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
INTRODUCTION: The decision to extract teeth for orthodontic treatment is important and difficult because it tends to be based on the practitioner's experiences. The purposes of this study were to construct an artificial intelligence expert system for...

Anticipating Human Activities Using Object Affordances for Reactive Robotic Response.

IEEE transactions on pattern analysis and machine intelligence
An important aspect of human perception is anticipation, which we use extensively in our day-to-day activities when interacting with other humans as well as with our surroundings. Anticipating which activities will a human do next (and how) can enabl...

VH-VL orientation prediction for antibody humanization candidate selection: A case study.

mAbs
Antibody humanization describes the procedure of grafting a non-human antibody's complementarity-determining regions, i.e., the variable loop regions that mediate specific interactions with the antigen, onto a β-sheet framework that is representative...

A novel machine learning method for cytokine-receptor interaction prediction.

Combinatorial chemistry & high throughput screening
Most essential functions are associated with various protein-protein interactions, particularly the cytokine-receptor interaction. Knowledge of the heterogeneous network of cytokine- receptor interactions provides insights into various human physiolo...

Use of a Machine Learning-Based High Content Analysis Approach to Identify Photoreceptor Neurite Promoting Molecules.

Advances in experimental medicine and biology
High content analysis (HCA) has become a leading methodology in phenotypic drug discovery efforts. Typical HCA workflows include imaging cells using an automated microscope and analyzing the data using algorithms designed to quantify one or more spec...

Machine learning models in breast cancer survival prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Breast cancer is one of the most common cancers with a high mortality rate among women. With the early diagnosis of breast cancer survival will increase from 56% to more than 86%. Therefore, an accurate and reliable system is necessary fo...

CAMELOT: A machine learning approach for coarse-grained simulations of aggregation of block-copolymeric protein sequences.

The Journal of chemical physics
We report the development and deployment of a coarse-graining method that is well suited for computer simulations of aggregation and phase separation of protein sequences with block-copolymeric architectures. Our algorithm, named CAMELOT for Coarse-g...