AIMC Topic: Algorithms

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Automatic Evaluation of Motor Rehabilitation Exercises Based on Deep Mixture Density Neural Networks.

Journal of biomedical informatics
An automatic assessment system for physical telerehabilitation could reduce the time and cost of treatments. But such assessment involves stochastic uncertainties, nonlinearities, and complexities of human movement. Probabilistic models and deep stru...

Deep learning applications for the accurate identification of low-transcriptional activity drugs and their mechanism of actions.

Pharmacological research
Analysis of drug-induced expression profiles facilitated comprehensive understanding of drug properties. However, many compounds exhibit weak transcription responses though they mostly possess definite pharmacological effects. Actually, as a represen...

MS-ResNet: disease-specific survival prediction using longitudinal CT images and clinical data.

International journal of computer assisted radiology and surgery
PURPOSE: Medical imaging data of lung cancer in different stages contain a large amount of time information related to its evolution (emergence, development, or extinction). We try to explore the evolution process of lung images in time dimension to ...

Deduction learning for precise noninvasive measurements of blood glucose with a dozen rounds of data for model training.

Scientific reports
Personalized modeling has long been anticipated to approach precise noninvasive blood glucose measurements, but challenged by limited data for training personal model and its unavoidable outlier predictions. To overcome these long-standing problems, ...

One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data.

Genome biology
Integrative analysis of large-scale single-cell RNA sequencing (scRNA-seq) datasets can aggregate complementary biological information from different datasets. However, most existing methods fail to efficiently integrate multiple large-scale scRNA-se...

Predicting the functional impact of KCNQ1 variants with artificial neural networks.

PLoS computational biology
Recent advances in experimental and computational protein structure determination have provided access to high-quality structures for most human proteins and mutants thereof. However, linking changes in structure in protein mutants to functional impa...

Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.

Journal of nephrology
BACKGROUND: Transplant nephropathology is a highly specialized field of pathology comprising both the evaluation of organ donor biopsy for organ allocation and post-transplant graft biopsy for assessment of rejection or graft damage. The introduction...

Deep learning, reinforcement learning, and world models.

Neural networks : the official journal of the International Neural Network Society
Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of indispensable factors to achieve human-level or super-human AI systems. On the other hand, both DL and RL have strong connections with our brain functions and with neuros...

The Need for Medical Artificial Intelligence That Incorporates Prior Images.

Radiology
The use of artificial intelligence (AI) has grown dramatically in the past few years in the United States and worldwide, with more than 300 AI-enabled devices approved by the U.S. Food and Drug Administration (FDA). Most of these AI-enabled applicati...

Machine learning in evolutionary studies comes of age.

Proceedings of the National Academy of Sciences of the United States of America