Genomic Variant Curation: “The Power of Zero”

As a parent, sometimes the most powerful answer you can give your children is “no”.
Once they know where the boundaries are, they just might stop trying to navigate the gray area to find loopholes. The same can be said for genomic variant curation.
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Is Healthcare Ready for AI?

Artificial Intelligence, or AI, has become the official buzzword of the healthcare industry in recent years, inspiring billions of dollars in investment. When the lives and well-being of patients hang in the balance, do the benefits of using AI outweigh the risks? 
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Mastermind vs. Manually Curated Databases: Head-to-Head Comparison with COSMIC Variant Database

Mastermind’s Genomic Search Engine uncovers 594% More Articles per Variant and 63% More Variants per Gene in a head-to-head test against COSMIC variant database. The Mastermind Genomic Search Engine has a number of meaningful advantages over the Catalogue of Somatic Mutations in Cancer (COSMIC) as a tool for searching genomic evidence, reducing the amount of time required to curate variants and resulting in fewer missed articles containing evidence for the variant.
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Google Scholar vs. Mastermind: Variant Interpretation Comparison

In the test described below, the Mastermind Genomic Search Engine was found to have several meaningful advantages over Google Scholar as a tool for searching genomic evidence, reducing the amount of time required to curate a variant and resulting in fewer missed articles containing evidence for the variant. Users who searched Mastermind as part of this experiment felt more confident that they had found all of the relevant literature to form the most accurate diagnoses and treatment plans.

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First Automated Blood Cancer Gene Panel Published

At an AMP 2017 Corporate Workshop on Wednesday, November 15th, Dr. Mark Kiel announced the details of the first automated, evidence-based pan-hematopoietic malignancy blood cancer gene panel.

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Evidence-Based Gene Panel Design — There Has to be a Better Way

Clinicians and researchers face a daunting task when developing gene panels for any particular disease.  But rather than research biomarkers and design panels by committee, rational panel design can now leverage disease-gene-variant associations found in scientific evidence from the medical literature.

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