Business Wire11.21.16
Neural Analytics Inc., developer of technology to measure, diagnose and track brain health, has launched its Lucid M1 Transcranial Doppler Ultrasound System, a portable brain monitoring system designed to measure cerebral blood flow velocities within the head and neck.
The company also has joined the Society of Vascular and Interventional Neurology (SVIN) to support Mission 2020, an initiative to enhance global efforts to improve stroke care worldwide by significantly increasing stroke treatments for eligible patients and reducing global stroke disability. The initiative was unveiled at the SVIN 9th Annual Meeting and 4th Annual Stroke Center Workshop, taking place Nov. 16-19 in Brooklyn, N.Y.
“Over the last several years, the field of interventional neurology has witnessed an innovation explosion that has fundamentally changed the way that we treat stroke to improve patient outcomes. SVIN has set an ambitious goal to treat every eligible stroke patients emergently with mechanical thrombectomy, but this can only be achieved if stroke patients get access to hospitals with mechanical thrombectomy capability within six hours of their symptoms,” said Dr. Dileep Yavagal, M.D., past president of SVIN. “We are gratified that Neural Analytics will support SVIN on this important initiative as their future technologies will assist us in determining if a patient is suffering from a brain blood flow disorder like stroke, potentially leading to faster treatment and better overall outcomes for these patients.”
SVIN will partner with several governmental and industry collaborators to achieve their initiative by focusing on efforts to improve public awareness for stroke symptoms, supporting legislation to encourage rapid triage of stroke patients, establishing financial initiatives to improve access to care for countries without health insurance and encouraging the development of new technologies to improve stroke assessment and treatment. One supporter announced at the meeting was Neural Analytics which demonstrated its Lucid System, a device designed to help improve rapid assessment of patients with brain blood flow disorders at the meeting.
“We are pleased to support SVIN on this important initiative to improve stroke treatment worldwide and help reduce the disability associated with this condition,” said Robert Hamilton, oo-founder and chief science officer of Neural Analytics. “A critical component for effective stroke treatment is determining an accurate diagnosis as quickly as possible in settings inside and outside the hospital. Neural Analytics is developing new and improved portable tools to help expedite the determination and treatment of patients suffering from these brain diseases.”
Globally each year severe blood flow disorders affect more than 30 million people. Traumatic brain injury (TBI) and stroke contribute the most to the global disease burden for these disorders.
There are 2.5 million people affected by TBI each year in the United States, with 14.8 million people affected globally. The cost of TBI care in the U.S. alone totals $77 billion annually and, reliable triage and timely treatment remains unavailable for a vast majority of these patients. Stroke affects about 16 million people and kill an estimated 5.7 million, with an annual U.S. healthcare cost of $104 billion.1,2,3,4
Neural Analytics was founded in 2013 to create products and services to measure, diagnose and track brain health. They combine leading data science with cutting-edge hardware to allow first responders and clinicians to accurately assess and monitor brain health issues. Their devices are designed to be portable, autonomous, reliable, and produce precise and objective physiological measurements for medical responder monitoring of neural disorders.
References:
1. Ganesalingam, J. Cost Utility Analysis of Mechanical Thrombectomy Using Stent Retrievers in Acute Ischemic Stroke. Stroke. 2015 Sep;46(9):2591-8. doi: 10.1161/STROKEAHA.115.009396. Epub 2015 Aug 6.
2. Saver, J. et. Al. Stent Retriever Thrombectomy after Intraveneous t-PA vs. t_PA alone in stroke. N Engl J Med 2015; 372:2285-2295
3. Ovbiagele, B. et. Al Forecasting the Future of Stroke in the United States. Stroke. 2013. http://stroke.ahajournals.org/content/44/8/2361.abstract,
4. Age Ageing (2009) 38 (1): 4-5.doi: 10.1093/ageing/afn282
The company also has joined the Society of Vascular and Interventional Neurology (SVIN) to support Mission 2020, an initiative to enhance global efforts to improve stroke care worldwide by significantly increasing stroke treatments for eligible patients and reducing global stroke disability. The initiative was unveiled at the SVIN 9th Annual Meeting and 4th Annual Stroke Center Workshop, taking place Nov. 16-19 in Brooklyn, N.Y.
“Over the last several years, the field of interventional neurology has witnessed an innovation explosion that has fundamentally changed the way that we treat stroke to improve patient outcomes. SVIN has set an ambitious goal to treat every eligible stroke patients emergently with mechanical thrombectomy, but this can only be achieved if stroke patients get access to hospitals with mechanical thrombectomy capability within six hours of their symptoms,” said Dr. Dileep Yavagal, M.D., past president of SVIN. “We are gratified that Neural Analytics will support SVIN on this important initiative as their future technologies will assist us in determining if a patient is suffering from a brain blood flow disorder like stroke, potentially leading to faster treatment and better overall outcomes for these patients.”
SVIN will partner with several governmental and industry collaborators to achieve their initiative by focusing on efforts to improve public awareness for stroke symptoms, supporting legislation to encourage rapid triage of stroke patients, establishing financial initiatives to improve access to care for countries without health insurance and encouraging the development of new technologies to improve stroke assessment and treatment. One supporter announced at the meeting was Neural Analytics which demonstrated its Lucid System, a device designed to help improve rapid assessment of patients with brain blood flow disorders at the meeting.
“We are pleased to support SVIN on this important initiative to improve stroke treatment worldwide and help reduce the disability associated with this condition,” said Robert Hamilton, oo-founder and chief science officer of Neural Analytics. “A critical component for effective stroke treatment is determining an accurate diagnosis as quickly as possible in settings inside and outside the hospital. Neural Analytics is developing new and improved portable tools to help expedite the determination and treatment of patients suffering from these brain diseases.”
Globally each year severe blood flow disorders affect more than 30 million people. Traumatic brain injury (TBI) and stroke contribute the most to the global disease burden for these disorders.
There are 2.5 million people affected by TBI each year in the United States, with 14.8 million people affected globally. The cost of TBI care in the U.S. alone totals $77 billion annually and, reliable triage and timely treatment remains unavailable for a vast majority of these patients. Stroke affects about 16 million people and kill an estimated 5.7 million, with an annual U.S. healthcare cost of $104 billion.1,2,3,4
Neural Analytics was founded in 2013 to create products and services to measure, diagnose and track brain health. They combine leading data science with cutting-edge hardware to allow first responders and clinicians to accurately assess and monitor brain health issues. Their devices are designed to be portable, autonomous, reliable, and produce precise and objective physiological measurements for medical responder monitoring of neural disorders.
References:
1. Ganesalingam, J. Cost Utility Analysis of Mechanical Thrombectomy Using Stent Retrievers in Acute Ischemic Stroke. Stroke. 2015 Sep;46(9):2591-8. doi: 10.1161/STROKEAHA.115.009396. Epub 2015 Aug 6.
2. Saver, J. et. Al. Stent Retriever Thrombectomy after Intraveneous t-PA vs. t_PA alone in stroke. N Engl J Med 2015; 372:2285-2295
3. Ovbiagele, B. et. Al Forecasting the Future of Stroke in the United States. Stroke. 2013. http://stroke.ahajournals.org/content/44/8/2361.abstract,
4. Age Ageing (2009) 38 (1): 4-5.doi: 10.1093/ageing/afn282
