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Agreements

Date: 2015-01-29

Type of information: Collaboration agreement

Compound: FIND (FLAG, IDENTIFY, NETWORK, DELIVER) FH initiative

Company: Amgen (USA - CA) The Familial Hypercholesterolemia Foundation (USA - CA) Stanford Medicine (USA - CA)

Therapeutic area: Cardiovascular diseases - Genetic diseases - Rare diseases

Type agreement:

collaboration

Action mechanism:

Disease: familial hypercholesterolemia

Details:

* On January 29, 2015, Amgen, The Familial Hypercholesterolemia Foundation and Stanford Medicine announced the launch of the FIND (FLAG, IDENTIFY, NETWORK, DELIVER) FH initiative. With financial support from Amgen , the FIND FH initiative is a large-scale program to identify and engage individuals and families affected by familial hypercholesterolemia (FH).  Through the application of cutting-edge algorithms developed in partnership with globally recognized academic research centers, including Stanford Medicine , the multidimensional FIND FH initiative is designed to help healthcare providers identify individuals who have FH but who are undiagnosed, untreated or undertreated. \"There are currently few systematic approaches to identify patients with FH in the U.S., and it is unrealistic to expect most patients to recognize FH on their own, as it is a condition largely unknown to the general public,\" said Joshua W. Knowles , M.D., Ph.D., FAHA, FACC , assistant professor of cardiovascular medicine at Stanford University School of Medicine and director of the FH clinic in Stanford\'s Center for Inherited Cardiovascular Disease . Through the development of patient education materials, the FIND FH initiative aims to also educate patients about FH and provide guidance on how to screen their family members who may also be affected.

FIND FH complements The FH Foundation\'s patient registry (CASCADE FH), the only established registry and database dedicated to the incidence of FH in the U.S. Patients identified by FIND FH will have an opportunity to join the CASCADE FH registry, helping to improve data and understanding related to FH. 

 

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