AIMC Topic:
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Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics.
Analytical chemistry
Apr 15, 2019
Recent developments in high-resolution mass spectrometry (HRMS) technology enabled ultrasensitive detection of proteins, peptides, and metabolites in limited amounts of samples, even single cells. However, extraction of trace-abundance signals from c...
ECG Multilead Interval Estimation Using Support Vector Machines.
Journal of healthcare engineering
Apr 15, 2019
This work reports a multilead interval measurement algorithm for a high-resolution digital electrocardiograph. The software enables off-line ECG processing including detection as well as an accurate multilead interval detection algorithm using sup...
Hybrid model for efficient prediction of poly(A) signals in human genomic DNA.
Methods (San Diego, Calif.)
Apr 13, 2019
Polyadenylation signals (PAS) are found in most protein-coding and some non-coding genes in eukaryotes. Their accurate recognition improves understanding gene regulation mechanisms and recognition of the 3'-end of transcribed gene regions where prema...
Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests.
The European respiratory journal
Apr 11, 2019
The interpretation of pulmonary function tests (PFTs) to diagnose respiratory diseases is built on expert opinion that relies on the recognition of patterns and the clinical context for detection of specific diseases. In this study, we aimed to explo...
Musculoskeletal design, control, and application of human mimetic humanoid Kenshiro.
Bioinspiration & biomimetics
Apr 8, 2019
We have been developing a human mimetic musculoskeletal humanoid called Kenshiro, whose design concept is to thoroughly pursue an unprecedented anatomical fidelity to the human musculoskeletal structure. We believe that research on human mimetic musc...
ML-DSP: Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels.
BMC genomics
Apr 3, 2019
BACKGROUND: Although software tools abound for the comparison, analysis, identification, and classification of genomic sequences, taxonomic classification remains challenging due to the magnitude of the datasets and the intrinsic problems associated ...
FeatureSelect: a software for feature selection based on machine learning approaches.
BMC bioinformatics
Apr 3, 2019
BACKGROUND: Feature selection, as a preprocessing stage, is a challenging problem in various sciences such as biology, engineering, computer science, and other fields. For this purpose, some studies have introduced tools and softwares such as WEKA. M...
CaseSolver: An investigative open source expert system based on EuroForMix.
Forensic science international. Genetics
Apr 2, 2019
For very serious crimes, reporting scientists often have to contend with complex cases where literally hundreds of items are submitted by investigators for analysis. In order to efficiently expedite the challenge of comparing reference profiles to ev...
QAnalysis: a question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research.
BMC medical informatics and decision making
Apr 1, 2019
BACKGROUND: While doctors should analyze a large amount of electronic medical record (EMR) data to conduct clinical research, the analyzing process requires information technology (IT) skills, which is difficult for most doctors in China.
Analysis of a CT patient dose database with an unsupervised clustering approach.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Mar 29, 2019
PURPOSE: This study investigated the benefits of implementing a cluster analysis technique to extract relevant information from a computed tomography (CT) dose registry archive.
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