ISSN: 0970-938X (Print) | 0976-1683 (Electronic)

Biomedical Research

An International Journal of Medical Sciences

Immunohematology is a specialized branch of laboratory medicine which involves the study of the immunology and genetics of blood groups, blood cell antigens and antibodies, and specific blood proteins. It plays an important role in blood banking and transfusion medicine. Immunohematology problems discovered during the process of routine pre-transfusion or antenatal testing often produce fatal incompatible antibody. Because the membrane of each RBC contains millions of those antigens and transfusing a patient with the incorrect blood group may have fatal consequences. For example, when a woman becomes pregnant, and during delivery a small amount of fetal blood enters her circulation. The exposure to the fetal antigens can readily trigger immune response, which induces incompatible antibody formation. The acquired antibodies may threaten the next fetus, and expose him/her to high risk by causing HDN. So resolution of these challenging cases is fundamental to the safe practice of blood transfusion. Immune-serological techniques have been widely used to identify and resolve the diagnostic problems in these cases. Molecular techniques are also increasingly used in immunohematology to determine the antigen profile of patients, resolve more complex problems and large scale red cell genotyping.

A large number of studies are published in the field of Immunohematology. However more clinical studies are needed to enrich our understanding of blood type incompatibility and to provide an opportunity for clinicians to implement the adequate prevention of alloimmunization as well as to make timely diagnosis and to introduce treatment of hemolytic disease in newborns. Publications in this special issue aim not only to demonstrate more research findings related to immunohematology in order to optimize the resolution of incompatibility problems in various blood bank, but also to ensure better management of preventing alloimmunization and improving transfusion outcomes. In addition, It gives also insight into the genetic variability of different blood groups in different ethnicities.

Submission Dead line: June-25-2017

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The use of non-ionizing radiation offers great promise as a non-invasive medical diagnosis tool. Despite a limited penetration depth in living tissue, optical imaging is steadily bridging the gap between histopathology and radiology, because of its many strengths, such as its sensitivity to molecular, functional and structural content. This special issue attempts to cover novel works in biomedical research using either spectroscopic or optical imaging techniques. Contributions of both human studies and animal models are encouraged using either experimental approaches or analytical methods. In this special issue, manuscripts are welcomed on the following topics, but not limited to them:

  • Absorption, emission and fluorescence atomic spectroscopy
  • Molecular spectroscopy, including ultraviolet, visible and near-infrared, and Raman
  • Light transport in tissue
  • Nonlinear microscopy, including multiphoton excited fluorescence, harmonic generation and coherent anti-Stokes Raman scattering (CARS) microscopy
  • 2D imaging, e.g. laser, speckle, intrinsic signals, calcium and voltage, molecular, hyperspectral, thermal-infrared imaging
  • Functional Near Infrared Spectroscopy (fNIRS) of the brain and other organs
  • Tomographic imaging, such as Optical Coherence Tomography, Diffuse Optical Tomography and Photoacoustic Tomography.

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Tentative date of publication: December 30, 2017

  • Dr. A. Jayanthiladevi,

    Jain University, Bangalore, India

It is essentially undeniable that modern health care is an information- and knowledge intensive enterprise. The information collected in health care includes—among other things— medical records of individual patients, laboratory test results, information about treatment protocols and drug interactions, and a variety of financial and administrative information. Advanced Computational Intelligence (ACI) paradigms are increasingly used for implementing robust computer applications to foster safety, quality and efficacy in all aspects of healthcare. This research book covers an ample spectrum of the most advanced applications of Computational Intelligence in HealthCare. Advanced Computational Intelligence (ACI) paradigms are increasingly used for implementing robust computer applications to foster safety, quality and efficacy in all aspects of healthcare.

The computer science research community in meeting two challenges posed by health care information technology: identifying how today’s computer science-based methodologies and approaches might be applied more effectively to health care and explicating how the limitations in these methodologies and approaches might be overcome through additional research and development. Biomedical research is being revolutionized by new technologies for generating high throughput data. The physicians also taking decision based on who have worked with information technologies. In the future, health care providers will need to rely increasingly on information technology (IT) to acquire, manage, analyze, and disseminate health care information and knowledge.

Many studies have identified deficiencies in the current health care system, including inadequate care, superfluous or incorrect care, immense inefficiencies and hence high costs, and inequities in access to care. In response, federal policy makers have tended to focus on the creation and interchange of electronic health information and the use of IT as critical infrastructural improvements whose deployments help to address some (but by no means all) of these deficiencies. Any systematic effort to change the medical and health information management paradigm from one based on paper to one based on IT must address two basic challenges: using the best technology available today to build and deploy systems in the short term and identifying the gaps between the best of today’s technology and what is ultimately needed to improve health care. The first provides opportunities for near-term improvement; the second informs basic research and the design of future systems. There are deep intellectual research challenges at the health care and computer science (and health/biomedical informatics as well). Some problems in health care can be seen as having solutions on a relatively clear path forward from existing technologies (e.g., aggregation of patient health care information into a common data repository. Many meaningful and useful steps can be taken today toward this goal. However, this goal reflects expectations for improvement in the quality and cost-effectiveness of health care that will require more than just wider implementation of today’s health care information technology.

  • Biomedical informatics
  • Health Care Informatics
  • Human-computer interaction
  • Medical Electronics
  • Clinical decision support
  • Decision making in medicine effectiveness
  • Cognitive categorizing in medical information system
  • Bioengineering & Computing for Healthcare
  • Internet of things for Health care
  • Health care Process Excellence
  • Algorithms and Approaches for Health care
  • Computational Biology & Bioinformatics
  • Microscale Engineering for the Health Cares
  • Computational Cognitive Science
  • Biomedical Signal and Image Processing
  • Design and Analysis of Algorithms
  • Computational Techniques in Systems Biology
  • Artificial Intelligence & Biomedical Computing
  • Expert Systems
  • Nano Technology and Nano Medicine
  • Social Networking and Health Systems
  • Virtual Reality in Psychotherapy

Submission Deadline: March 25th 2017

  • Stefan Iencean

    Associate Professor, Department of Neurosurgery, GrT Popa University of Medicine and Pharmacy, Romania

Over the past decades, there is an increased interest in understanding the complexity of neural system of various organisms, which is responsible for the behavior of an organism according the physical, social and environmental conditions. However, we witnessed remarkable breakthroughs in last decade in neuroscience; there are many puzzles to be solved. The integration of computational science improved the understanding of complex cells and cell networks of neural system. It is well known that there are many lethal diseases such as multiple sclerosis, Alzheimer’s disease, and Parkinson’s disease, etc., are associated with neuroscience, furthermore, there are many psychological and psychiatric problems closely associated with neural system. Recently, there many studies reported that drug addiction and abuse also have exceptional impact on human behaviors.

In this special edition entitled “The Complex World of Neuroscience”, we aimed to emphasize the cutting-edge research and developments in Neurology. The editor accepts articles related to basic and applied neuroscience, which included brain disorders, behavioral changes, computational neuroscience, neurodegenerative diseases and advanced diagnosis and treatment methods. Biomedical Research is an international peer reviewed journal covers vast range of disciplines related to medicine, life sciences and technology, invites researchers to publish the pioneer work that improve the advances the human health care.


Submission Dead line: March-25-2017

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  • Jong Hwan Park

    Assistant Professor, Institute of Convergence Bio-Health (ICBH), Dong-A University, Busan, Korea

With a phenomenal success to the first edition of the issue the journal would like to extend its sincere thanks to the editor, reviewers and the authors for their valuable contribution and support and will host the publication of the second edition.

Advances in genetics, genetic engineering, Nanobiotechnology and Computational approaches in medical and health sciences led to various new technologies in which Bio Convergence one of the most important in current times. It is believed that the convergence technology could reshape the world economies but also plays a vital role in health sciences as well. This integrated cutting edge technology helps in develop and delivers the highest quality of products such as vaccines, biopharmaceuticals, etc., to advances the medical science and improve the global health care needs.

The special edition “Health Science and Bio Convergence Technology” intends to discuss the quality parameters of the technology to produce the accurate products at speed with reliability, responsiveness. In addition, the topic aims to publish trends, current challenges, and future prospective of the technology. The editor invites original articles, expert reviews, prospectives and opinions for publication. Biomedical Research, an international peer reviewed journal, which is known for its quality and timely publications in medicine, science and technology.


Submissions Closes on: March-30-2017

Publication Date: April-30-2017

View Edition 1

  • Jong-Hwan Park

    Assistant Professor, Institute of Convergence Bio-Health (ICBH), Dong-A University, Busan, Korea

Physical activity refers to movement of the body by using energy; on the other hand, metabolism is integration of anabolic and catabolic reaction of biomolecules such as sugars, lipids, etc., to generate the energy. Lipids are wide range of molecules that includes, Fatty acids, Glycerolipids, Glycerophospholipids, Sterol lipids, Prenol lipids, Saccharolipids, Polyketides and Sphingolipids. These molecules paly crucial roles in metabolic pathways, which are clinically significant in disease diagnosis and treatment. In the recent past, clinical lipidology is at the center, which deals with the Biochemistry and metabolisms of lipids, associated disorders, and role in physical activity.

The special edition “Physical activity and Lipid Metabolism” emphasizes the lipid metabolism and their role in physical activity. The special edition, also integrates cardiologists, endocrinologists, and primary care physicians and other clinical specialists involved in the treatment of disorders that are associated with Lipid Metabolism. Under this special edition, Editor invites clinicians to submit their findings as Original reports, reviews, case reports and communications. Biomedical Research is an international journal, which publishes the latest updates in Medicine, Biosciences and technology in a timely fashion.


Submission dead line: Mar-30-2017

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  • R Varatharajan

    Professor, Department of Electronics and Communication Engineering, Sri Ramanujar Engineering College, Chennai, India

  • Hong Jer Lang

    Professor, Taylors University, Malaysia

  • Xiao-Zhi Gao

    Professor, Department of Electrical Engineering, Aalto University, Finland

The applications of artificial intelligent technique in the bio medical signal field are becoming increasingly important in the current development. Electronic equipments aid in developing a fully automated system which would help in exact identification of abnormalities in the medical field. During the previous decade, artificial intelligent has emerged as potential candidates for solving complex and intricate global optimization problems which are otherwise difficult to solve by traditional methods. In present scenario Image Processing, signal processing, Industrial optimization, Control system applications and power system applications fields have challenging deeds which is to be solved by researchers. They are applying artificial intelligent techniques for solving such problems, Some popular artificial intelligent techniques for Evolutionary Optimization include Genetic algorithm, cuckoo search, high secure medical video encryption algorithm, delay tolerant network approach, machine learning techniques, swarm optimization, bee trust algorithm etc. These methods have been successfully applied to a wide range of medical application. This special issue is an ideal platform for the researchers to come out with innovative ideas and approaches in the area of bio signal intelligent techniques.

Potential topics included but not limited:

  • Artificial neural networks for abnormality detection in scan images such as brain, eye, lungs, blood, bone, etc.
  • Fuzzy theory for abnormal region segmentation in scan images
  • Medical image texture analysis
  • Medical image processing using evolutionary algorithms
  • Noise cancellation in EEG, ECG, MG, etc. signals
  • Soft computing techniques in Bio signal processing

Submission Dead line: March-30-2017

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  • Peter J. Mansfield

    Independent Health Investigator General Medical Council UK

Over the years, in the past, Science has been taught as clearly separated fields. However, the excitement in integrative studies precisely bringing different fields together and resulting in new phenomena or field. It is believed that the sum of two different fields is more than its parts. The outcomes of integrative studies are truly innovative and excited. Let us have a look at the classic example of the recent past are X-ray crystallography in determining the structure of DNA, and magnetic resonance physics in medical imaging. This clearly indicates that the cross- disciplines provide ground-breaking insights. Biochemistry and Physics are two specific lines that crossed each other and drag the attention of researchers from both the fields. The special edition entitled “Research on the Edge: Where Biochemistry meets Physics” emphasizes the conventional biochemical techniques and physical phenomenons to improve the understanding of various human components such as proteins and nucleic acids. The Editor invites original reports, expert reviews and opinion, editorials and communications that that are novel and excited findings for publication in the one of the world reputed peer reviewed open access journal “Biomedical Research”.


Submission Dead line: April-30-2017

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