BioSymetrics Uses Machine Learning to Analyze Patient Data
Grace Mahas — May 14, 2020 — Tech
References: biosymetrics & marsdd
The Canadian startup, BioSymetrics, uses machine learning frameworks coupled with in vivo experimental research (i.e. clinical trials in humans) to discover new drugs and is now using its technology to combat COVID-19. The company's predictive methods are able to analyze emerging patient data to assist healthcare workers to make efficient and effective decisions.
In addition, BioSymetrics is partnering with clinicians to leverage international collaboration in order to de-bias and combine data to determine if any of its early-stage drugs may be effective in combating COVID-19. The company also announced it "will pursue any collaboration to have a positive impact against COVID," inviting brands looking for an AI partner in the global fight against COVID-19 to collaborate.
Image Credit: Shutterstock
In addition, BioSymetrics is partnering with clinicians to leverage international collaboration in order to de-bias and combine data to determine if any of its early-stage drugs may be effective in combating COVID-19. The company also announced it "will pursue any collaboration to have a positive impact against COVID," inviting brands looking for an AI partner in the global fight against COVID-19 to collaborate.
Image Credit: Shutterstock
Trend Themes
1. Predictive Patient Outcome Technologies - Using machine learning to analyze patient data to discover new drugs and make efficient and effective decisions.
2. International Collaboration in Clinical Trials - Partnering with clinicians across the globe to de-bias and combine data.
3. AI Solutions for COVID-19 - Inviting brands to collaborate and pursue any collaboration to have a positive impact against COVID-19.
Industry Implications
1. Pharmaceuticals - Using predictive patient outcome technologies to discover new drugs.
2. Healthcare - Implementing machine learning to make efficient and effective decisions for patient care.
3. Technology - Providing AI solutions for global challenges such as COVID-19.
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