AIMC Topic: Tissue Distribution
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Machine Learning Analysis of Longevity-Associated Gene Expression Landscapes in Mammals.
International journal of molecular sciences
Jan 22, 2021
One of the important questions in aging research is how differences in transcriptomics are associated with the longevity of various species. Unfortunately, at the level of individual genes, the links between expression in different organs and maximum...
Detection of transient neurotransmitter response using personalized neural networks.
Physics in medicine and biology
Dec 18, 2020
Measurement of stimulus-induced dopamine release and other types of transient neurotransmitter response (TNR) from dynamic positron emission tomography (PET) images typically suffers from limited detection sensitivity and high false positive (FP) rat...
Identifying transcriptomic correlates of histology using deep learning.
PloS one
Nov 25, 2020
Linking phenotypes to specific gene expression profiles is an extremely important problem in biology, which has been approached mainly by correlation methods or, more fundamentally, by studying the effects of gene perturbations. However, genome-wide ...
Quantifying drug tissue biodistribution by integrating high content screening with deep-learning analysis.
Scientific reports
Sep 1, 2020
Quantitatively determining in vivo achievable drug concentrations in targeted organs of animal models and subsequent target engagement confirmation is a challenge to drug discovery and translation due to lack of bioassay technologies that can discrim...
Label-Free Quantification of Pharmacokinetics in Skin with Stimulated Raman Scattering Microscopy and Deep Learning.
The Journal of investigative dermatology
Jul 22, 2020
The treatment of inflammatory skin conditions relies on a deep understanding of how drugs and tissue behave and interact. Although numerous methods have been developed that aim to follow and quantify topical drug pharmacokinetics, these tools can com...
Spatio-temporal deep learning methods for motion estimation using 4D OCT image data.
International journal of computer assisted radiology and surgery
May 22, 2020
PURPOSE: Localizing structures and estimating the motion of a specific target region are common problems for navigation during surgical interventions. Optical coherence tomography (OCT) is an imaging modality with a high spatial and temporal resoluti...
A deep learning approach to radiation dose estimation.
Physics in medicine and biology
Feb 4, 2020
Currently methods for predicting absorbed dose after administering a radiopharmaceutical are rather crude in daily clinical practice. Most importantly, individual tissue density distributions as well as local variations of the concentration of the ra...
Enhanced antitumor efficacy of doxorubicin-encapsulated halloysite nanotubes.
International journal of nanomedicine
Dec 19, 2017
To improve the antitumor efficacy of doxorubicin (DOX) and provide novel clinical treatment of gastric cancer, halloysite nanotubes (HNTs) loaded with DOX were encapsulated by soybean phospholipid (LIP) and the formed HNTs/DOX/LIP was systematically ...
Comparative analysis of weighted gene co-expression networks in human and mouse.
PloS one
Nov 21, 2017
The application of complex network modeling to analyze large co-expression data sets has gained traction during the last decade. In particular, the use of the weighted gene co-expression network analysis framework has allowed an unbiased and systems-...
Pharmacokinetics, bioavailability, tissue distribution and excretion of tangeretin in rat.
Journal of food and drug analysis
Sep 22, 2017
Tangeretin, 4',5,6,7,8-pentamethoxyflavone, is one of the major polymethoxyflavones (PMFs) existing in citrus fruits, particularly in the peels of sweet oranges and mandarins. Tangeretin has been reported to possess several beneficial bioactivities i...
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