ICBBS

Cancer therapy is an attractive research field in basic and clinical studies. Among them, nano-based antitumor drugs and delivery systems play increasingly crucial role in tumor treatment, while they are still faced with complicated surrounding ...

Cancer has historically been a significant problem in the world. Traditional clinical strategies for treating tumors including chemotherapy, radiation therapy, surgery. Currently, some novel anti-cancer therapeutics such as immunotherapy, photodynamic ...

Lactic acid is the building block of poly-lactic acid (PLA), a biopolymer that could be set to replace petroleum-based plastics. To make lactic acid production cost-effective, the production process should be carried out at low pH, in low-nutrient media,...

Brain image registration (BIR) plays an important role in neuroscience. However, for the registration of brain image containing tumors, the existence of tumor could cause great influence to BIR. One possible solution for getting rid of such influence is ...

Excreted antibiotics into intestine after parenteral administration may be unwanted and can disrupt the indigenous microbiota and cause some adverse clinical consequences. To mitigate this adverse effect, we developed BL, a recombinant beta-lactamase ...

Single-cell RNA sequencing (scRNA-seq) aims at profiling single cells in a cell population by the sequencing of whole genome expression data. scRNA-seq data has high noise, high dimensionality, and high sparsity, challenging the identification of cell ...

m6A plays important roles in cell differentiation and tissue development via selectively binding with the YTH-containing proteins. However, the mechanism of the selectively binding events is largely unknown. The precise prediction of m6A-YTH binding ...

14-3-3s present in multiple isoforms in human cells and mediate signal transduction by binding to phosphoserine-containing proteins. Previous studies demonstrate that the isoform 14-3-3 ζ acts as a key factor in promoting chemoresistance of cancer. Here,...

Breast cancer (BRCA) is a common cancer, and incidence is highest among women with cancer. This study chose gene expression profile of GSE65194, GSE42568, GSE7904 and GSE10810 from GEO databases in order to screen potential biomarkers of breast cancer. ...

Agkistrodon acutus Guenther is a rare traditional Chinese medicine (TCM) herb. Traditional use of Agkistrodon acutus Guenther as a kind of medicine and health food has been widely documented in China. DNA fingerprinting technology is used to identify ...

The neural oscillation in electroencephalogram (EEG) signals is highly related to people's psychological cognitive ability. In this work, an OpenBCI version of phase-locked feedback control system has been implemented for real time alpha wave ...

The electroencephalography (EEG) signals can be identified and translated into control commands by brain-computer interface (BCI) systems. To improve the recognition results of the EEG signals, a temporal-spatial-frequency feature selection model based ...

In the recent past seismocardiogram (SCG) has emerged as one of the potential non-invasive modalities to estimate cardiac health parameters. Each SCG cycle contains specific SCG peaks that help identify specific cardiac mechanical events. The accurate ...

Diabetes Mellitus is among the top global health concern. It was reported by World Health Organization that millions of death was caused by diabetes and has been predicted that will increase in the next coming years. Hence monitoring of blood glucose ...

Automated Lymph Node (LN) detection and segmentation are essential for cancer staging. Positron emission tomography (PET) and computed tomography (CT) imaging are routinely used to detect pathological LNs in clinical. Yet, it is still a difficult task ...

With the complicated structure of brains, glioma segmentation is a challenging task. To precisely segment gliomas, U-Net structure is adopted by most current methods. However, the computation complexity of U-Net based method is large. Therefore, a ...

Image noise is an inherent issue in low-dose CT (LDCT). Increasing radiation dose can alleviate this problem to some extent, but it also brings potential risks to the patients. Thus, LDCT denoising has raised increasing attention from researchers. ...

Brain image parcellation is an important data processing step in neuroscience. Since multi-atlas based parcellation (MAP) uses prior information from brain atlases (i.e., manually labeled brain regions), it can provide accurate brain parcellation and ...

Brain tumor detection from MRI images is a time consuming and precarious task due to irregular characteristics of tumor tissue image segmentation. In MR images permit convincing evidence and play a decisive part in diagnosing the different kinds of ...

Despite medical imaging diagnosis has made significant progress, accurate imaging diagnosis of traumatic brain injury (TBI) still remains a challenging task because of the extremely complex and diverse brain images in TBI. Deep learning has been proved ...

Recent genomic studies continue to uncover widespread occurrences of polyadenylation poly(A) sites in presumed intergenic regions, providing new opportunities to investigate the complex of 3’ untranslated regions and intergenic transcription. Here we ...

CT perfusion (CTP) is a common scanning type for the diagnosis of acute stroke. Dynamic 4D data are obtained by scanning the same region of interest for time series volumetric acquisition. Usually, the scanning dose is low, which leads to serious image ...