AIMC Topic: Mice

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An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos.

Artificial intelligence in medicine Nov 2, 2022
In assisted reproductive technology (ART), embryos produced by in vitro fertilization (IVF) are graded according to their live birth potential, and high-grade embryos are preferentially transplanted. However, rates of live birth following clinical AR...
Algorithms Pregnancy Female Machine Learning Time Factors Mice Live Birth Animals Deep Learning
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G2Φnet: Relating genotype and biomechanical phenotype of tissues with deep learning.

PLoS computational biology Oct 31, 2022
Many genetic mutations adversely affect the structure and function of load-bearing soft tissues, with clinical sequelae often responsible for disability or death. Parallel advances in genetics and histomechanical characterization provide significant ...
Phenotype Biomechanical Phenomena Mice Animals Genotype Deep Learning Aorta
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Magnetic torque-driven living microrobots for increased tumor infiltration.

Science robotics Oct 26, 2022
Biohybrid bacteria-based microrobots are increasingly recognized as promising externally controllable vehicles for targeted cancer therapy. Magnetic fields in particular have been used as a safe means to transfer energy and direct their motion. Thus ...
Torque Magnetic Fields Animals Neoplasms Robotics Mice Motion
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LangMoDHS: A deep learning language model for predicting DNase I hypersensitive sites in mouse genome.

Mathematical biosciences and engineering : MBE Oct 24, 2022
DNase I hypersensitive sites (DHSs) are a specific genomic region, which is critical to detect or understand cis-regulatory elements. Although there are many methods developed to detect DHSs, there is a big gap in practice. We presented a deep learni...
Genomics Regulatory Sequences, Nucleic Acid Deoxyribonuclease I Animals Deep Learning Mice
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Combining mass spectrometry and machine learning to discover bioactive peptides.

Nature communications Oct 20, 2022
Peptides play important roles in regulating biological processes and form the basis of a multiplicity of therapeutic drugs. To date, only about 300 peptides in human have confirmed bioactivity, although tens of thousands have been reported in the lit...
Animals Peptides Mass Spectrometry Mammals Mice Humans Machine Learning
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Deep learning-based behavioral profiling of rodent stroke recovery.

BMC biology Oct 15, 2022
BACKGROUND: Stroke research heavily relies on rodent behavior when assessing underlying disease mechanisms and treatment efficacy. Although functional motor recovery is considered the primary targeted outcome, tests in rodents are still poorly reprod...
Deep Learning Mice Disease Models, Animal Humans Animals Rodentia Stroke Brain Ischemia
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Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning.

Biochemical and biophysical research communications Oct 1, 2022
The number of patients with heart failure and related deaths is rapidly increasing worldwide, making it a major problem. Cardiac hypertrophy is a crucial preliminary step in heart failure, but its treatment has not yet been fully successful. In this ...
Cells, Cultured Animals Endothelin-1 Heart Failure Cardiomegaly Ezetimibe Angiotensin II Myocytes, Cardiac Rats Cholesterol Deep Learning Drug Evaluation, Preclinical Mice
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Functional Gait Assessment Using Manual, Semi-Automated and Deep Learning Approaches Following Standardized Models of Peripheral Nerve Injury in Mice.

Biomolecules Sep 23, 2022
Objective: To develop a standardized model of stretch−crush sciatic nerve injury in mice, and to compare outcomes of crush and novel stretch−crush injuries using standard manual gait and sensory assays, and compare them to both semi-automated as well...
Mice Recovery of Function Gait Sciatic Nerve Deep Learning Animals Peripheral Nerve Injuries Crush Injuries
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Context dependent prediction in DNA sequence using neural networks.

PeerJ Sep 20, 2022
One way to better understand the structure in DNA is by learning to predict the sequence. Here, we trained a model to predict the missing base at any given position, given its left and right flanking contexts. Our best-performing model was a neural n...
DNA Animals Humans Genome, Human Nucleosomes Mice Neural Networks, Computer Base Sequence
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Technical note: Rapid and high-resolution deep learning-based radiopharmaceutical imaging with 3D-CZT Compton camera and sparse projection data.

Medical physics Sep 19, 2022
BACKGROUND: The Compton camera (CC) has great potential in nuclear medicine imaging due to the high detection efficiency and the ability to simultaneously detect multi-energy radioactive sources. However, the finite resolution of the detectors will d...
Tellurium Animals Radiopharmaceuticals Deep Learning Mice
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