MedTechIQ_3Helix InSight Engine-Beta
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Triple Helix Discovery Engine
*Driving Forces: Market Research, Intelligence, Analysis, Datapoints, Databases & Trends
*Driving Forces: BioPharmaceuticals _ Biotechnology, Genomics, Genetics, Bioinformatics, Biomanufacturing & Personalized Medicine
*Biotechnology: Key Issues
*Key Terms: Biotechnology
Genetic Databases
Parents
*Key Terms: Biotechnology
BioTechnology
Children
***What are the top research priorities for military medicine in 2025 and beyond
*Architects: Biotechnology _ Genomics, Genetic Testing, Gene & DNA Sequencing, NGS (Next Generation Sequencing) Companies
*Architects: Biotechnology_Genomics, Multiomics
*Consolidators: Life Science Sector
*Driving Forces: Biotechnology_ Cell, Gene, Genomic Editing & Therapy, CRISPR, Genetics
*MVP (Million Veteran Program), VA
*Regeneron Genetics Center _Explore the mysteries hidden in the world’s largest genomic database
2014: NIH adds substantial set of genetic, health information to online database _ Genetic Epidemiology Research on Aging (GERA)
2021: NASEM Panel_DRUG RESEARCH AND DEVELOPMENT FOR ADULTS ACROSS THE OLDER AGE SPAN
23andMe is a leading consumer genetics and research company that offers a personalized health-and-wellness experience that has built a genetic database to unlock insights leading to the rapid discovery of promising new targets for drug development.
Areas of Interest: De novo design of new synthesizable molecules targeting addiction circuitry using generative AI tools, molecular dynamics simulations, and other advanced computational approaches Identification of medications that can be repurposed for treatment of SUDs by constructing models based on multiple datasets such as chemical, genetic, and disease databases, electronic health records, clinical trials and scientific literature Optimization of promising compounds for SUD treatment to enhance their selectivity, affinity, and efficacy at the target receptor using structural evolution or other AI/ML approaches AI-enabled virtual screening of medication candidates for those with high bioavailability, optimal pharmacokinetics, efficient blood brain barrier permeability, minimal toxicity, and desired behavioral responses Chemical synthesis design for the most effective synthetic route and ease of manufacturing by application of generative AI trained on databases of chemical reac
Burning Rock was founded to develop a proprietary cancer screening and therapy selection system utilizing tissue and liquid biopsies, assay biochemistry, genetic databases and bioinformatics to provide decision support services to oncologists in China.
deCODE Genetics has also compiled a database containing the genetic makeup and medical history of more than 100,000 citizens of
GenBank
Million Veteran Program trailblazing VA effort to consolidate genetic, military exposure, health, and lifestyle information together in one single database.
NIH established a clinical genomics infrastructure to develop an openly accessible knowledgebase that promotes data sharing and provides standardized infrastructure and tools for determining the clinical relevance of genetic variants through two initiatives: the Clinical Genomics Resource (ClinGen) and the Clinical Variant Database (ClinVar) of clinical variation.
NIH established a clinical genomics infrastructure to develop an openly accessible knowledgebase that promotes data sharing and provides standardized infrastructure and tools for determining the clinical relevance of genetic variants through two initiatives: the Clinical Genomics Resource (ClinGen) and the Clinical Variant Database (ClinVar) of clinical variation. ClinGen defines the clinical relevance of genes and variants for use in precision medicine and research by standardizing clinical annotation and interpretation of variants and implementing evidence-based expert consensus assertions. The purpose of this Notice of Funding Opportunity (NOFO) is to establish Expert Panels that will select genes and genomic variants associated with diseases or conditions of high priority to participating NIH Institutes and Centers (ICs) and systematically determine their clinical significance for diagnosis and treatment of these diseases or conditions.
Sequence Read Archive
The purpose of this Notice of Special Interest (NOSI) is to support workforce development and training in AI/ML to grow new generation of data scientists and promote data science literacy among researchers developing treatments for SUDs. Areas of Interest: De novo design of new synthesizable molecules targeting addiction circuitry using generative AI tools, molecular dynamics simulations, and other advanced computational approaches Identification of medications that can be repurposed for treatment of SUDs by modeling based on multiple datasets such as chemical, genetic, and disease databases, electronic health records, clinical trials and scientific literature Optimization of promising compounds for SUD treatment to enhance their selectivity, affinity, and efficacy at the target using structural evolution or other AI/ML approaches AI-enabled virtual screening of medication candidates for those with high bioavailability, optimal pharmacokinetics, efficient blood brain barrier permeabili