Tag: drug repurposing

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Deep Learning Framework Unveiled for Identifying Risk Genes and Drug Targets in Alzheimer’s Disease

Open-source artificial intelligence technology uses human genetic data to find candidate drugs

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Big Patient Data Analyses Pinpoint Telmisartan as a Candidate Drug for Alzheimer’s in Black Adults

Findings underscore need for racial diversity in ongoing and future trials

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Translating Genomics to Therapeutics for Atrial Fibrillation

$14M NIH grant supports research toward medications to prevent progression

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Failed Alzheimer’s Drug Shows Promise for Treating Glioblastoma in Preclinical Study

BACE1 inhibitor reduces cancer progression in models of glioblastoma

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Sildenafil Emerges as a Candidate Drug for Alzheimer’s Disease

69% relative risk reduction in large database analysis prompts plans for mechanistic and phase 2 studies

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Network-Based Drug Discovery for the Emerging COVID-19 Epidemic

Minimizing the translational gap between preclinical testing and clinical outcomes

deepDTnet, A network-based deep learning methodology,

Harnessing Artificial Intelligence for Drug Repurposing

deepDTnet receives provisional patent to accelerate drug repurposing and minimize the translational gap in development

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