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Automatic Assistance Method for Disease Diagnosis Based on a Deep Learning Fusion Model and Chinese Electronic Medical Record
Extracting disease characteristics from large-scale Electronic Medical Records and achieving disease-assisted diagnoses have significant research value. Due to the complex multi-feature items and unbalanced data distribution of Electronic Medical ...
Machine Learning Facilitates Imputation of Gene Expression Levels across Multiple Environments
Gene expression level reflects the active biological processes in a live cell. It is of great importance to quantify gene expression levels across multiple environments. However, for technical reasons, the expression level in some environments/strains ...
Using Genetic Algorithms to Model Microbiome Coevolutionary Dynamics and Dysbiosis Due to Environmental and Pharmaceutical Stressors
Several studies have established the critical role of microbiome in shaping human health. Steady state balance, a microbial homeostasis, of disparate microbial colonies is the outcome of coevolution and affects the continued health, chronic disease or ...
Incorporating FPConv-DTI Deep Learning Network and Borderline-SMOTE Algorithm for Predicting Drug-Target Interactions
Drug-target interactions prediction is of great significance in medical and biological research, but traditional laboratory methods have disadvantages such as high cost and time-consuming. Therefore, in recent years, deep learning, similarity ...
Rapid Identification of Potential Inhibitors of Bruton's Tyrosine Kinase (BTK) by Structure-based Virtual Screening
Bruton's Tyrosine Kinase (BTK) is one of the non-receptor intracellular kinases expressing mainly in B cells and it regulates cell proliferation, apoptosis, and several cellular activities. Abnormal BTK activation is known to play a pivotal role in B ...
Motor Imagery EEG Classification Method Based on Adaptive Decision Surface of LDA Classifier
In order to solve the problem of reduced classification accuracy caused by the different spatial features of EEG motor imagery signals between the same subjects on different days, this paper proposes an EEG feature extraction and recognition method ...
The Progress of IPS Therapy on the Heart and Neural Disease
Heart and brain (AD) diseases are easier to happen to people who are aged. Traditional therapies are not able to cure the disease and the stem cell is chosen to be applied as new therapy. However, there are many moral problems related to stem cells, so ...
Evaluation of Upper Limb Muscle Function Based on Muscle Activation Sequence
The assessment of muscle function is an important part of the rehabilitation of stroke patients. The study proposed two indexes, muscle activation sequence (MAS) and muscle activation duration (MAD), to evaluate the muscle function and the damage level ...
Investigation of Potential Inhibitors of Brown Adipose Tissue Induced Thermogenesis
Obesity is a worldwide problem that causes damage to quality of life and the national health care system. There is no effective treatment for obesity, and the development of novel treatment is necessary. Thermogenesis is a process that happens in ...
High CD34 Expression Level Associated with Prolonged Liver and Stomach Cancer Survival
CD34 is a transmembrane phosphoglycoprotein that shows expression on early hematopoietic and vascular-associated tissues. Although tumor tissues usually possess upregulated CD34, little is known about this protein's exact function during the process of ...
Multiscale Entropy Analysis of Blood Pressure Variability in Dahl Salt-sensitive Rats
The blood pressure variability (BPV) is considered a physiological indicator of the autonomic nervous system and may be related to the increased cardiovascular risk in hypertensive patients. We performed BPV analysis on the systolic blood pressure ...
Constructing Crystalline Molecular Dipolar Rotor Arrays with Ultra-Large Dipole Moments
We aim to synthesize a series of dipolar crystalline molecular rotors with substituted benzene rotators in an extended structure. By taking advantage of the porosity of metal organic frameworks (MOFs), we can fine-tune a large cavity for the dynamic ...
Index Terms
- Proceedings of the 2021 11th International Conference on Bioscience, Biochemistry and Bioinformatics