Researchers Turn to AI for Insights on Treating Brain Tumors

With the fields of machine learning and artificial intelligence (AI) evolving almost daily, experts in several industries are trying to figure out ways the technology can advance their specific sectors. Artificial intelligence can analyze an unfathomable number of data points in shockingly little time and come up with conclusions that would have otherwise taken hundreds if not thousands of human work hours.

In medicine, researchers hope this ability can help them treat two of the most difficult-to-treat diseases on the planet: brain and spinal tumors. Referred to as cavernous malformations, these are vascular tumors that develop in the spinal cord or brain and often result in severe health issues such as stroke, blindness and epilepsy. Patients with cavernous malformations can also suffer from numbness, trouble with movement and tingling feelings throughout their entire body.

Even though cavernous malformations aren’t cancerous, their tendency to bleed or burst often affects nearby tissues in a way that cannot be easily tied to the tumors.

Top medical experts are now partnering up with computer scientists to figure out if AI technology can be used to aid in the early diagnosis of these brain tumors. Physicians usually use magnetic resonance imaging (MRI) to detect cavernous malformations, but they are often discovered well after they have developed and begin causing other health problems.

LSU Health Shreveport neurosurgeon Dr. Caleb Stewart said that even though neurosurgery itself is exceptionally complex, cavernous malformations add an extra level of complexity and difficulty. Furthermore, Stewart said, these kinds of tumors have barely been studied in neurosurgery as their extreme diversity makes it difficult for researchers to compare different malformations and come up with diagnoses and treatment procedures.

LSU Shreveport, Oschner Health and LSU Health Shreveport have partnered with Australian players to leverage machine learning and artificial intelligence and come up with a viable solution for dealing with cavernous malformations. Researchers from these organizations will use clinical data collected over more than 10 years at LSU Health including lab results, medical imaging, diagnostic codes, pathology slides and electronic health records.

In total, the researchers will feed data with nearly 3,000 variables to the AI, significantly more than most neurosurgeons can consider while they work with their patients. According to Stewart, the lesions of cavernous malformations tend to grow in the brain and spinal cord close to the base of the skull or deep in the brain, areas that are extremely high risk and increase the odds of negative health outcomes. Taking advantage of AI could allow physicians to develop precise analytical tools to predict whether a malformation will bleed or not and which course of action to take.

Those advanced technologies are also powering the drug-development efforts of enterprises such as CNS Pharmaceuticals Inc. (NASDAQ: CNSP) in their bids to bring to market precision treatments that are better than what is currently on the market.

NOTE TO INVESTORS: The latest news and updates relating to CNS Pharmaceuticals Inc. (NASDAQ: CNSP) are available in the company’s newsroom at https://ibn.fm/CNSP

About BioMedWire

BioMedWire (BMW) is a bio-med news and content distribution company that provides (1) access to a network of wire services via InvestorWire to reach all target markets, industries and demographics in the most effective manner possible, (2) article and editorial syndication to 5,000+ news outlets (3), enhanced press release services to ensure maximum impact, (4) social media distribution via the Investor Brand Network (IBN) to millions of social media followers, (5) a full array of corporate communications solutions, and (6) a total news coverage solution with BMW Prime. As a multifaceted organization with an extensive team of contributing journalists and writers, BMW is uniquely positioned to best serve private and public companies that desire to reach a wide audience of investors, consumers, journalists and the general public. By cutting through the overload of information in today’s market, BMW brings its clients unparalleled visibility, recognition and brand awareness. BMW is where news, content and information converge.

To receive SMS text alerts from BioMedWire, text “Biotech” to 888-902-4192 (U.S. Mobile Phones Only)

For more information, please visit https://www.biomedwire.com

Please see full terms of use and disclaimers on the BioMedWire website applicable to all content provided by BMW, wherever published or re-published: http://BMW.fm/Disclaimer

BioMedWire (BMW)
San Francisco, California
www.biomedwire.com
415.949.5050 Office
Editor@BioMedWire.com

BioMedWire is part of the InvestorBrandNetwork.

Archives

Select A Month

Official NewsWire Relationships

BIO Informa DGE Dynamic Global Events DTC Healthcare Conference Kiasco Reasearch Nexus Conferences Octane

BioMedWire Currently Accepts

Bitcoin

Bitcoin

Bitcoin Cash

Bitcoin Cash

Ethereum

Ethereum

Litecoin

Litecoin

USD Coin

USD Coin

Contact us: 415.949.5050