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Bioequivalence and comparative pharmacodynamics of insulin lispro 200 U/mL relative to insulin lispro (Humalog®) 100 U/mL.

Clinical pharmacology in drug development
Insulin lispro 200 U/mL (IL200) is a new strength formulation of insulin lispro (Humalog®, IL100), developed as an option for diabetic patients on higher daily mealtime insulin doses. This phase 1, open-label, 2-sequence, 4-period crossover, randomiz...

Genome-wide prediction of prokaryotic two-component system networks using a sequence-based meta-predictor.

BMC bioinformatics
BACKGROUND: Two component systems (TCS) are signalling complexes manifested by a histidine kinase (receptor) and a response regulator (effector). They are the most abundant signalling pathways in prokaryotes and control a wide range of biological pro...

Going beyond a First Reader: A Machine Learning Methodology for Optimizing Cost and Performance in Breast Ultrasound Diagnosis.

Ultrasound in medicine & biology
The goal of this study was to devise a machine learning methodology as a viable low-cost alternative to a second reader to help augment physicians' interpretations of breast ultrasound images in differentiating benign and malignant masses. Two indepe...

Pharmacokinetics of aclidinium bromide/formoterol fumarate fixed-dose combination compared with individual components: A phase 1, open-label, single-dose study.

Clinical pharmacology in drug development
Inhaled, long-acting bronchodilators represent a cornerstone of maintenance treatment for chronic obstructive pulmonary disease (COPD). Aclidinium bromide/formoterol fumarate 400/12 μg fixed-dose combination (FDC) has recently been licensed for use i...

Machine Learning methods for Quantitative Radiomic Biomarkers.

Scientific reports
Radiomics extracts and mines large number of medical imaging features quantifying tumor phenotypic characteristics. Highly accurate and reliable machine-learning approaches can drive the success of radiomic applications in clinical care. In this radi...

Pharmacokinetic profiles of meloxicam in turtles (Trachemys scripta scripta) after single oral, intracoelomic and intramuscular administrations.

Journal of veterinary pharmacology and therapeutics
Meloxicam is an anti-inflammatory and analgesic drug used to treat many pathological conditions in turtles. With the aim to fill the lack of data about its pharmacokinetic in this species, eighteen turtles (Trachemys scripta scripta) were divided in ...

High-order neural networks and kernel methods for peptide-MHC binding prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Effective computational methods for peptide-protein binding prediction can greatly help clinical peptide vaccine search and design. However, previous computational methods fail to capture key nonlinear high-order dependencies between diff...

Sample Selection for Training Cascade Detectors.

PloS one
Automatic detection systems usually require large and representative training datasets in order to obtain good detection and false positive rates. Training datasets are such that the positive set has few samples and/or the negative set should represe...

Automated generation of directed graphs from vascular segmentations.

Journal of biomedical informatics
Automated feature extraction from medical images is an important task in imaging informatics. We describe a graph-based technique for automatically identifying vascular substructures within a vascular tree segmentation. We illustrate our technique us...