MRI BASED RADIOMICS APPROACH WITH DEEP LEARNING FOR PREDICTION OF VESSEL INVASION IN EARLY-STAGE CERVICAL CANCER

This article aims to build deep learning-based radiomic methods in differentiating vessel invasion from non-vessel invasion in cervical...

IMBALANCE DATA PROCESSING STRATEGY FOR PROTEIN INTERACTION SITES PREDICTION

Protein-protein interactions play essential roles in various biological progresses. Identifying protein interaction sites can facilitate...

 
 
 

IDENTIFYING DRUG RESISTANT MIRNAS USING ENTROPY BASED RANKING

MicroRNAs play an important role in controlling drug sensitivity and resistance in cancer. Identification of responsible miRNAs for...

HUMAN GAIT RECOGNITION BASED ON SELF-ADAPTIVE HIDDEN MARKOV MODEL

Human gait recognition has numerous challenges due to view angle changing, human dressing, bag carrying, and pedestrian walking speed,...

 
 
 

ENHANCED DIAGNOSIS OF PNEUMOTHORAX WITH AN IMPROVED REAL-TIME AUGMENTATION FOR IMBALANCED CHEST X-RAYS DATA BASED ON DCNN

Pneumothorax is a common pulmonary disease that can lead to dyspnea and can be life-threatening. X-ray examination is the main means...

D-UNET: A DIMENSION-FUSION U SHAPE NETWORK FOR CHRONIC STROKE LESION SEGMENTATION

Assessing the location and extent of lesions caused by chronic stroke is critical for medical diagnosis, surgical planning, and prognosis....

 
 
 

DETECTING CLUSTERED INDEPENDENT RARE VARIANT ASSOCIATIONS USING GENETIC ALGORITHMS

The availability of an increasing collection of sequencing data provides the opportunity to study genetic variation with an unprecedented...

DATA-ENABLED DIGESTIVE MEDICINE: A NEW BIG DATA ANALYTICS PLATFORM

This paper presents a big data analystics platform for clinical research and practice in the Gastroenterology Department of Xiangya...

 
 
 

CNN-RNN BASED INTELLIGENT RECOMMENDATION FOR ONLINE MEDICAL PRE-DIAGNOSIS SUPPORT

The rapidly developed Health 2.0 technology has provided people with more opportunities to conduct online medical consultation than...

CCFS: A CONFIDENCE-BASED COST-EFFECTIVE FEATURE SELECTION SCHEME FOR HEALTHCARE DATA CLASSIFICATION

Feature selection is one of the fundamental data processing techniques in various machine learning algorithms, especially for classification...

 
 
 

KNOWLEDGE-POWERED DEEP BREAST TUMOR CLASSIFICATION WITH MULTIPLE MEDICAL REPORTS

Breast tumor classification with multiple medical reports such as B-ultrasound, Mammography and Nuclear Magnetic Resonance Imaging...

A UNIFIED SMART CHINESE MEDICINE FRAMEWORK FOR HEALTHCARE AND MEDICAL SERVICES

Smart Chinese medicine has emerged to contribute to the evolution of healthcare and medical services by applying machine learning together...

 
 
 

A METHOD OF INFORMATION PROTECTION FOR COLLABORATIVE DEEP LEARNING UNDER GAN MODEL ATTACK

Deep learning is widely used in the medical field owing to its high accuracy in medical image classification and biological applications....

A HYBRID ENSEMBLE ALGORITHM COMBINING ADABOOST AND GENETIC ALGORITHM FOR CANCER CLASSIFICATION WITH GENE EXPRESSION DATA

The diversity of base classifiers and integration of multiple classifiers are two key issues in the field of ensemble learning. This...

 
 
 

A GLOBAL AND LOCAL ENHANCED RESIDUAL U-NET FOR ACCURATE RETINAL VESSEL SEGMENTATION

Retinal vessel segmentation is a critical procedure towards the accurate visualization, diagnosis, early treatment, and surgery planning...

GUEST EDITORIAL: MACHINE LEARNING FOR AI-ENHANCED HEALTHCARE AND MEDICAL SERVICES: NEW DEVELOPMENT AND PROMISING SOLUTION

 
 
 

REVISITING PARAMETER ESTIMATION IN BIOLOGICAL NETWORKS: INFLUENCE OF SYMMETRIES

Graph models often give us a deeper understanding of real-world networks. In the case of biological networks they help in predicting...

BIOMEDICAL KNOWLEDGE GRAPHS CONSTRUCTION FROM CONDITIONAL STATEMENTS

Conditions play an essential role in biomedical statements. However, existing biomedical knowledge graphs only focus on factual knowledge,...

 
 
 

A PIPELINE FOR INTEGRATED THEORY AND DATA-DRIVEN MODELING OF BIOMEDICAL DATA

Genome sequencing technologies have the potential to transform clinical decision making and biomedical research by enabling high-throughput...

GUEST EDITORIAL FOR SELECTED PAPERS FROM BIOKDD 2019

 
 
 



World Biotechnology Congress 2019

Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...

World Biotechnology Congress 2019

Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...

2nd International Conference on Tissue Science and Regenerative Medicine

This conference is designed for experts in academia and industries working in the tissue science and regenerative field, this conference will examine cutting-edge research in... Read more ...

MicroRNA-17-5p Promotes Cardiac Hypertrophy by Targeting Mfn2 to Inhibit...

Abstract Pathological cardiac hypertrophy is the leading cause of heart failure, and miRNAs have been recognized as key factors in cardiac hypertrophy. This study aimed to... Read more ...

Scientist, Hematologic and Immunologic Toxicology - La Jolla, CA - Johnson &...

As part of the cutting-edge Global Predictive, Investigative and Translational Toxicology Team, the candidate will have the opportunity to work within...From Johnson & Johnson... Read more ...

Bringing Protection Back in Line

Bringing Protection Back in Line

Research refines platform to address immune disorders Dr. Esma Yolcu and Dr. Haval Shirwan, Co-pioneers of ProtEx technology By Davis Suppes | Bond LSC The things that protect... Read more ...

After 40 Years, HIV Presents Research Problems New and Old

After 40 Years, HIV Presents Research Problems New and Old

In the years since AIDS was first described in medical research, the scientific map of that disease has changed enormously. Once it was relatively empty. Now scientists... Read more ...

Exosomal circRNA HIPK3 knockdown inhibited cell proliferation and metastasis...

Abstract Prostate cancer is the second frequent malignancy among men in the world. Exosomal circular RNAs have been reported to function in PCa progression. The current study... Read more ...

Prognostic value and immunological characteristics of a novel...

Abstract Autophagy affects the development, progression, and prognosis of various cancers including pancreatic cancer. To develop an autophagy-related prognostic model of... Read more ...

Chiral nanomaterials for tumor therapy: autophagy, apoptosis, and...

Chirality is a fundamental characteristic of natural molecules and a crucial factor in the biochemical reactions of living cells and organisms. Recently, researchers have... Read more ...

Ramil the snow leopard tests positive for COVID at the San Diego Zoo

Zoo staff say the animal's symptoms are mild and are still investigating how he got infected Read more ...

Enhanced lignin biodegradation by consortium of white rot fungi: microbial...

As one of the major components of lignocellulosic biomass, lignin has been considered as the most abundant renewable aromatic feedstock in the world. Comparing with thermal or... Read more ...

Design and heterologous expression of a novel dimeric LL37 variant in Pichia...

The antimicrobial peptide LL37 is produced by white blood cells and various epithelial cells, and has the outstanding advantages of participating in immune regulation, causing... Read more ...