Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records
Early prediction of patient outcomes is important for targeting preventive care. This protocol
describes a practical workflow for developing deep-learning risk models that can predict …
describes a practical workflow for developing deep-learning risk models that can predict …
Astroinformation resource of the Ukrainian virtual observatory: Joint observational data archive, scientific tasks, and software
…, LK Pakulyak, AA Shlyapnikov, YI Protsyuk… - Kinematics and Physics …, 2012 - Springer
This paper reviews the most important components of the national project of the Ukrainian
Virtual Observatory (UkrVO). Among them, there is the establishment of a Joint Digital Archive (…
Virtual Observatory (UkrVO). Among them, there is the establishment of a Joint Digital Archive (…
A clinically applicable approach to continuous prediction of future acute kidney injury
The early prediction of deterioration could have an important role in supporting healthcare
professionals, as an estimated 11% of deaths in hospital follow a failure to promptly recognize …
professionals, as an estimated 11% of deaths in hospital follow a failure to promptly recognize …
Feature-based molecular networking in the GNPS analysis environment
Molecular networking has become a key method to visualize and annotate the chemical space
in non-targeted mass spectrometry data. We present feature-based molecular networking …
in non-targeted mass spectrometry data. We present feature-based molecular networking …
Bioactivity-based molecular networking for the discovery of drug leads in natural product bioassay-guided fractionation
It is a common problem in natural product therapeutic lead discovery programs that despite
good bioassay results in the initial extract, the active compound(s) may not be isolated during …
good bioassay results in the initial extract, the active compound(s) may not be isolated during …
[PDF][PDF] Three-dimensional microbiome and metabolome cartography of a diseased human lung
Our understanding of the spatial variation in the chemical and microbial makeup of an entire
human organ remains limited, in part due to the size and heterogeneity of human organs …
human organ remains limited, in part due to the size and heterogeneity of human organs …
3D molecular cartography using LC–MS facilitated by Optimus and'ili software
Our skin, our belongings, the world surrounding us, and the environment we live in are covered
with molecular traces. Detecting and characterizing these molecular traces is necessary …
with molecular traces. Detecting and characterizing these molecular traces is necessary …
Coupling targeted and untargeted mass spectrometry for metabolome-microbiome-wide association studies of human fecal samples
…, F Vargas, A Bouslimani, I Protsyuk… - Analytical …, 2017 - ACS Publications
Increasing appreciation of the gut microbiome’s role in health motivates understanding the
molecular composition of human feces. To analyze such complex samples, we developed a …
molecular composition of human feces. To analyze such complex samples, we developed a …
Meta-mass shift chemical profiling of metabolomes from coral reefs
Untargeted metabolomics of environmental samples routinely detects thousands of small
molecules, the vast majority of which cannot be identified. Meta-mass shift chemical (…
molecules, the vast majority of which cannot be identified. Meta-mass shift chemical (…
Monocyte induction of E-selectin–mediated endothelial activation releases VE-cadherin junctions to promote tumor cell extravasation in the metastasis cascade
I Häuselmann, M Roblek, D Protsyuk, V Huck… - Cancer research, 2016 - AACR
Tumor cells interact with blood constituents and these interactions promote metastasis.
Selectins are vascular receptors facilitating interactions of tumor cells with platelets, leukocytes, …
Selectins are vascular receptors facilitating interactions of tumor cells with platelets, leukocytes, …