FEATURES

2014 ◽  
Vol 18 (12) ◽  
pp. 25-68 ◽  
Keyword(s):  
Risk Factor ◽  
Incidental Findings ◽  
Rational Design ◽  
Life Science ◽  
Ethical Responsibility ◽  
Biotechnology Research ◽  
Site Mapping ◽  
Imaging Research ◽  
Industry Trends ◽  
Biology Research

Indian Pharma Industry: Trends, Predictions and Challenges. RFID Smart Sensing. Rational Design for the Next Generation of Vaccines. Is Aging a Risk Factor for Cancer? China's Synthetic Biology Research. Ethical Responsibility to Manage Incidental Findings in Brain Imaging Research. Translating Research at SingHealth: Cardiometabollic Diseases. Universities: A Treasure Trove of Technologies. The Increasing Need for Bioinformatics in Life Science and Biotechnology Research. Site Mapping the Innovative Way. New Antifungals or Old?

FEATURES

2014 ◽  
Vol 18 (06) ◽  
pp. 29-44
Keyword(s):  
Brain Imaging ◽  
Incidental Findings ◽  
Neurological Impairment ◽  
Ethical Responsibility ◽  
Capacity To Consent ◽  
Imaging Research ◽  
The Law ◽  
The Impact

Neuroscience and the Law. Neurological Impairment and the Capacity to Consent to Participate in Research. Ethical Responsibility to Manage Incidental Findings in Brain Imaging Research. The Impact of Discrimination on Research into Depression.

scholarly journals Empirical Analysis of Current Approaches to Incidental Findings

2008 ◽  
Vol 36 (2) ◽  
pp. 249-255 ◽  
Author(s):  
Frances Lawrenz ◽  
Suzanne Sobotka
Keyword(s):  
Empirical Analysis ◽  
Incidental Findings ◽  
Scientific Literature ◽  
Human Subjects ◽  
Human Subjects Research ◽  
Potential Health ◽  
National Human ◽  
Multidisciplinary Working ◽  
Imaging Research ◽  
Object Of Study

Researchers in the health sciences regularly discover information of potential health importance unrelated to their object of study in the course of their research. However, there appears to be little guidance available on what researchers should do with this information, known in the scientific literature as incidental findings (IFs). The study described here was designed to determine the extent of guidance available to researchers from public sources. This empirical study was part of a larger two-year project funded by the National Human Genome Research Institute (NHGRI) to generate guidance on how incidental findings should be managed in human subjects research, especially genetics, genomics, and imaging research. We generated empirical analysis of publicly available guidance and consent forms to help guide a multidisciplinary Working Group of experts in their formulation of normative recommendations reported in this symposium.

scholarly journals Practical approaches to incidental findings in brain imaging research

Neurology ◽  
2008 ◽  
Vol 70 (5) ◽  
pp. 384-390 ◽  
Author(s):  
J. Illes ◽  
M. P. Kirschen ◽  
E. Edwards ◽  
P. Bandettini ◽  
M. K. Cho ◽  
...  
Keyword(s):  
Brain Imaging ◽  
Incidental Findings ◽  
Imaging Research

FEATURES

2014 ◽  
Vol 18 (09) ◽  
pp. 25-53
Keyword(s):  
Antibody Response ◽  
Translational Research ◽  
Protein Interactions ◽  
Genome Engineering ◽  
Life Science ◽  
Target Discovery ◽  
Vaccine Target ◽  
Biotechnology Research ◽  
Dna Protein Interactions

Using Bioinformatics to Understand the Antibody Response. Genomic Translational Research: From Bench to Bedside. Understanding DNA-Protein Interactions for Applications in Genome Engineering. Overview of Bioinformatics Research in Japan. Perdana University Centre for Bioinformatics: Contributing to the Growth of Bioinformatics in Malaysia. Bioinformatics for Vaccine Target Discovery. The Bioinformatics Institute, A*STAR – Innovation in Bits and Bytes. The Increasing Need for Bioinformatics in Life Science and Biotechnology Research.

scholarly journals Villain of Molecular Biology: Why are we not reproducible in research?

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 438
Author(s):  
Vikash Bhardwaj
Keyword(s):  
Molecular Biology ◽  
Life Science ◽  
Science Research ◽  
Historical Account ◽  
Preclinical Research ◽  
Life Science Research ◽  
The Usa ◽  
Biology Research ◽  
Opinion Article

Worldwide, there is an issue of irreproducibility in life science research. In the USA alone $28 billion per year spent on preclinical research is not reproducible. Within this opinion article, I provide a brief historical account of the discovery of the Watson-Crick DNA model and introduce another neglected model of DNA. This negligence may be one of the fundamental reasons behind irreproducibility in molecular biology research.

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